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excel date analysis用法

excel date analysis用法

excel date analysis用法
Excel Date Analysis是一款用于分析和处理日期数据的Excel 插件。

它提供了一系列功能和工具,帮助用户处理和分析日期数据,例如:
1. 日期计算:可以使用Date Analysis中的函数来进行日期计算,例如计算两个日期之间的天数、月数或年数,或在给定日期上加上(或减去)指定的天数、月数或年数。

2. 日期格式化:可以使用Date Analysis中的功能来自定义日期格式,例如将日期格式化为特定的格式(如yyyy-mm-dd或dd/mm/yyyy),或者将日期转换为文本格式。

3. 日期筛选和排序:可以使用Date Analysis中的筛选和排序功能,按照日期的先后顺序对数据进行筛选和排序,使得数据更易于查找和分析。

4. 日期统计和汇总:可以使用Date Analysis中的功能进行日期的统计和汇总,例如计算某个时间段内的日期个数、特定日期的出现次数,或者计算某个日期范围内的平均值、最大值或最小值。

总之,Excel Date Analysis可以帮助用户更轻松地分析和处理日期数据,使得数据的分析工作更加高效和准确。

assign local copy of initial line of gt_excel -回复

assign local copy of initial line of gt_excel -回复

assign local copy of initial line of gt_excel -回复如何在Excel中创建图表。

Excel图表是一种强大的数据可视化工具,可以帮助我们更好地理解和分析数据。

无论是在学术研究、商业分析还是日常生活中,都可以使用Excel 图表来清晰展示数据。

本文将以“如何在Excel中创建图表”为主题,为读者逐步介绍Excel中创建图表的步骤和技巧。

第一步:准备数据在创建图表前,首先需要准备好要用来创建图表的数据。

可以在Excel的工作表中录入数据,也可以复制粘贴外部数据。

确保数据的准确性和完整性对于创建准确的图表非常重要。

数据可以是数值型、文本型或者混合型。

第二步:选择要展示的数据在准备好数据后,我们需要选择要展示的数据。

在Excel中,可以使用鼠标进行数据区域的选择。

通常情况下,选择一列或一行的数据用于创建柱状图或折线图;选择两列数据用于创建散点图;选择多列数据用于创建面积图或雷达图等。

第三步:打开图表工具选择好数据后,我们需要打开Excel中的图表工具。

在Excel的菜单栏中,可以找到“插入”选项卡,并点击其中的“图表”按钮。

点击后,会弹出一个窗口,展示了各种可用的图表类型。

第四步:选择合适的图表类型在弹出的窗口中,我们可以看到一系列的图表类型,包括柱状图、折线图、饼图等。

根据数据的性质和要表达的目的,选择一个合适的图表类型。

例如,如果想要比较不同数据之间的大小关系,可以选择柱状图;如果要展示数据的趋势变化情况,可以选择折线图。

根据具体需求,选择一个最适合的图表类型以确保数据的完整性和清晰度。

第五步:调整图表样式和布局在选择完图表类型后,我们可以对图表的样式和布局进行一些调整,以使图表更加美观和直观。

可以通过单击图表工具栏中的“样式”选项卡来选择一个合适的图表样式,并通过单击“布局”选项卡来调整图表的标题、轴标签和图例等。

另外,还可以调整图表的颜色、字体和大小等,以增强图表的可读性和吸引力。

Keysight E5063A ENA Series Network Analyzer 配置指南说明

Keysight E5063A ENA Series Network Analyzer 配置指南说明

E5063A-810E5063A-820E5063A/205E5063A/205/GPIB E5063A/215 E5063A/235E5063A/245E5063A/245/GPIB E5063A/265E5063A/285Keysight E5063AENA Series Network Analyzer100 kHz to 500 M/1.5 G/3 G/4.5 G/6.5 G/8.5 G/14 G/18 GHzConfiguration Guide02 | Keysight | E5063A ENA Series Network Analyzer - Configuration GuideOrdering GuideThe following steps will guide you through configuring your Keysight Technologies’ E5063A.Standard furnished itemDescription Additional informationInstallation guide Contains the information necessary to start up with the E5063A.CD ROM IO librariesPower CableCalibration of CertificationStep 1. Choose frequency option (must choose one of the eight frequency options.) Description Option no. Network Analyzer 100 kHz to 500 MHz, S-parameter test set, 50 Ω system impedance E5063A-205 Network Analyzer 100 kHz to 1.5 GHz, S-parameter test set, 50 Ω system impedance E5063A-215 Network Analyzer 100 kHz to 3 GHz, S-parameter test set, 50 Ω system impedance E5063A-235 Network Analyzer 100 kHz to 4.5 GHz, S-parameter test set, 50 Ω system impedance E5063A-245 Network Analyzer 100 kHz to 6.5 GHz, S-parameter test set, 50 Ω system impedance E5063A-265 Network Analyzer 100 kHz to 8.5 GHz, S-parameter test set, 50 Ω system impedance E5063A-285 Network Analyzer 100 kHz to 14 GHz, S-parameter test set, 50 Ω system impedance E5063A-2D5 Network Analyzer 100 kHz to 18 GHz, S-parameter test set, 50 Ω system impedance E5063A-2H5Step 2. Choose software option (If not required, go to step 4.)Description Option no.Requires Not compatible Additional informationTime Domain/Test wizard E5063A-011None None1This option is required for time domain analysis or PCBmeasurementsTime Domain E5063A-010None E5063A-011Adds time domain transform and gating capabilitiesWireless power transfer analysis E5063A-006None None This option is required for wireless power transfer efficiency test ofwireless power transfer modules1. E5063A-011 is a superset of E5063A-010. E5063A-011 includes the capability of E5063A-010.Step 3. Choose hardware optionDescription Option no.Requires Not compatible Additional informationAdd GPIB interface E5063A-721None E5063A-722Must choose either Option 721 or 722Without GPIB interface E5063A-722None E5063A-721Must choose either Option 721 or 722Add handler I/O interface E5063A-731None E5063A-732Must choose either Option 731 or 732Without handler I/O interface E5063A-732None E5063A-731Must choose either Option 731 or 732Step 4. Choose storage drive option (mandatory option)Description Option no.Requires Not compatible Additional informationStandard storage drive E5063A-019None None Option 019 is the only storage drive option for the E5063A.Must choose this option03 | Keysight | E5063A ENA Series Network Analyzer - Configuration GuideStep 6. Add calibration certificate (If not required, go to step 7.)DescriptionOption no.Additional information ISO 17025 Compliant Calibration E5063A-1A7ISO 17025 compliant calibration ANSI Z540 compliant calibrationE5063A-A6JANSI Z540 compliant calibrationStep 5. Add accessory option (If not required, go to step 6.)Description Option no.Requires Not compatible Additional informationKeyboard E5063A-810None None USB Keyboard for simplifying word inputs.Mouse E5063A-820None None USB Mouse for simplifying measurement operation.Rackmount Kit E5063A-1CM None None Not installable simultaneously with E5063A -1CP.Front Handle Kit E5063A-1CN None None Not installable simultaneously with E5063A -1CP.Handle/Rack Mount KitE5063A-1CPNoneNoneNot installable simultaneously with E5063A -1CM or 1CN.Step 8. Add related productsDescription Option no.Requires Not compatible Additional informationUSB Coaxial Switch, DC to 18 GHz, SPDTU1810BNoneNoneThe number of test ports can be expanded up to four by connecting this SPDT switch to the E5063A’s port-1 and 2.–For connecting both single-ended and differential probes simultaneously in the PCB measurements with the option E5063A-011. –For testing multiple DUTs with one E5063A.USB Coaxial Switch, DC to 8 GHz Dual SP6T U1816A None NoneThe number of test ports can be expanded up to 12 by connecting this SP6T switch to the E5063A’s ports, which can provides a lower cost solution for multi-DUT (antenna) measurementsUSB Coaxial Switch,DC to 26.5 GHz Dual SP6TU1816C None NoneThe number of test ports can be expanded up to 12 by connecting this SP6T switch to the E5063A’s ports, which can provides a lower cost solution for multi-DUT (antenna) measurements1. The U1810B’s switching can be controlled with the graphical user interface of the option 011 Test Wizard, or with the E5063A’s SCPI command.(This command can be used even without the Option 011.)Step 7. Choose warranty plan3 year return-to-keysight warranty and service is standard. The extended warranty option is available. Contact your local Keysight office or visit our web site for more information.04 | Keysight | E5063A ENA Series Network Analyzer - Configuration GuideFrequency UpgradesUpgrade kit option no.Description From To Customer installable E5063AU-210Upgrade from 500 MHz to 1.5 GHz E5063A-205E5063A-215NoE5063AU-230Upgrade from 500 MHz to 3 GHz E5063A-205E5063A-235NoE5063AU-240Upgrade from 500 MHz to 4.5 GHz E5063A-205E5063A-245NoE5063AU-260Upgrade from 500 MHz to 6.5 GHz E5063A-205E5063A-265NoE5063AU-280Upgrade from 500 MHz to 8.5 GHz E5063A-205E5063A-285NoE5063AU-2D0Upgrade from 500 MHz to 14 GHz E5063A-205E5063A-2D5NoE5063AU-2H0Upgrade from 500 MHz to 18 GHz E5063A-205E5063A-2H5NoE5063AU-231Upgrade from 1.5 GHz to 3 GHz E5063A-215E5063A-235NoE5063AU-241Upgrade from 1.5 GHz to 4.5 GHz E5063A-215E5063A-245NoE5063AU-261Upgrade from 1.5 GHz to 6.5 GHz E5063A-215E5063A-265NoE5063AU-281Upgrade from 1.5 GHz to 8.5 GHz E5063A-215E5063A-285NoE5063AU-2D1Upgrade from 1.5 GHz to 14 GHz E5063A-215E5063A-2D5NoE5063AU-2H1Upgrade from 1.5 GHz to 18 GHz E5063A-215E5063A-2H5NoE5063AU-243Upgrade from 3 GHz to 4.5 GHz E5063A-235E5063A-245NoE5063AU-263Upgrade from 3 GHz to 6.5 GHz E5063A-235E5063A-265NoE5063AU-283Upgrade from 3 GHz to 8.5 GHz E5063A-235E5063A-285NoE5063AU-2D3Upgrade from 3 GHz to 14 GHz E5063A-235E5063A-2D5NoE5063AU-2H3Upgrade from 3 GHz to 18 GHz E5063A-235E5063A-2H5NoE5063AU-265Upgrade from 4.5 GHz to 6.5 GHz E5063A-245E5063A-265NoE5063AU-285Upgrade from 4.5 GHz to 8.5 GHz E5063A-245E5063A-285NoE5063AU-2D5Upgrade from 4.5 GHz to 14 GHz E5063A-245E5063A-2D5NoE5063AU-2H5Upgrade from 4.5 GHz to 18 GHz E5063A-245E5063A-2H5NoE5063AU-286Upgrade from 6.5 GHz to 8.5 GHz E5063A-265E5063A-285NoE5063AU-2D6Upgrade from 6.5 GHz to 14 GHz E5063A-265E5063A-2D5NoE5063AU-2H7Upgrade from 6.5 GHz to 18 GHz E5063A-265E5063A-2H5NoE5063AU-2D8Upgrade from 8.5 GHz to 14 GHz E5063A-285E5063A-2D5NoE5063AU-2H6Upgrade from 8.5 GHz to 18 GHz E5063A-285E5063A-2H5NoE5063AU-2HD Upgrade from 14 GHz to 18 GHz E5063A-2D5E5063A-2H5No Hardware UpgradesUpgrade model no.Description Option no.CustomerinstallableRequires (Instrument mustalready include the following)E5063AU-721Add GPIB interface E5063A-721No None E5063AU-731Add handler I/O interface E5063A-731No NoneSoftware UpgradesUpgrade model no. Description Option no.CustomerinstallableRequires (Instrument mustalready include the following)Additional informationE5063AU-011Time Domain/Test wizard E5063A-011Yes None This option is required for time domainanalysis or PCB measurementsE5063AU-010Time Domain E5063A-010Yes None Adds time domain transform andgating capabilitiesE5063AU-006Wireless power transferanalysis E5063A-006Yes None This option is required for wirelesspower transfer efficiency test ofwireless power transfer modules05 | Keysight | E5063A ENA Series Network Analyzer - Configuration GuideTest Accessories and Calibration KitsTest accessories and calibration kits that can be used with the E5063A are listed in this section. A complete line of test accessories and calibration kits can be found at the following websites:/find/na_accessories/find/accessoriesTest accessoriesTest accessories such as test port cable are necessary for a complete measurement system using the E5063A. Order test accessories in accordance with the desired measurement system.Category Product Number DescriptionCables N6314A 50 Ω type-N (m) to type-N (m) cable, DC to 12.4 GHz, 61 cm (24 in)N6315A50 Ω type-N (m) to type-N (f) cable, DC to 12.4 GHz, 61 cm (24 in)11500E 3.5 mm (m) to 3.5 mm (m) cable, 61 cm (24 in)11500F 3.5 mm (m) to 3.5 mm (m) cable, 152 cm (60 in)Adapters11853A50 Ω Type-N accessory kit11878A Type-N to 3.5 mm adapter kitCalibration kitsCalibration is an accuracy enhancement procedure that effectively reduces the system errors that cause uncertainty in network measurement. Calibration kit is necessary to perform the calibration.–Mechanical calibration kits include standards, such as opens, shorts and loads, which are measured by the network analyzer.Choose a calibration kit for each connector type to be used.–Electronic calibration (ECal) modules replace mechanical calibration standards with one solid-state calibration module that is controlled by the network analyzer via USB. ECal modules provide many different impedances to the test ports which enables a full two-port calibration to be performed quickly with a single connection. This technique reduces operator errors and connector wear and abrasion.Category Product Number DescriptionMechanical calibration kits85032F Standard Mechanical Calibration Kit, DC to 9 GHz, Type-N, 50 Ω85054D Economy Mechanical Calibration Kit, DC to 18 GHz, Type-N, 50 ΩElectronic calibration kits85092C RF ECal: 300 kHz to 9 GHz, 2 ports, Type-N, 50 ΩN4431B Microwave ECal: 9 kHz to 13.5 GHz, 4 portsN4432A Microwave ECal: 300 kHz to 18 GHz, 4 portsN4690C Microwave ECal: 300 kHz to 18 GHz, 2 ports, Type-N, 50 ΩLiterature ResourceDescription Publication numberE5063A Network Analyzer Data Sheet5991-3615ENE5063A Network Analyzer Brochure5991-3614ENE5063A PCB Analyzer Technical Overview5991-3617ENNetwork Analyzers Selection Guide5989-7603ENMore literature is available on our web site.Web ResourceGet the latest news, product and support information, application literature and more./find/e5063a06 | Keysight | E5063A ENA Series Network Analyzer - Configuration GuideFor more information on KeysightTechnologies’ products, applications or services, please contact your local Keysight office. The complete list is available at:/find/contactus Americas Canada (877) 894 4414Brazil 55 11 3351 7010Mexico001 800 254 2440United States (800) 829 4444Asia Pacific Australia 1 800 629 485China800 810 0189Hong Kong 800 938 693India 1 800 11 2626Japan 0120 (421) 345Korea 080 769 0800Malaysia 1 800 888 848Singapore 180****8100Taiwan0800 047 866Other AP Countries (65) 6375 8100Europe & Middle East Austria 0800 001122Belgium 0800 58580Finland 0800 523252France 0805 980333Germany ***********Ireland 1800 832700Israel 1 809 343051Italy800 599100Luxembourg +32 800 58580Netherlands 0800 0233200Russia 8800 5009286Spain 800 000154Sweden 0200 882255Switzerland0800 805353Opt. 1 (DE)Opt. 2 (FR)Opt. 3 (IT)United Kingdom0800 0260637For other unlisted countries:/find/contactus(BP-11-29-16)/go/quality Keysight Technologies, Inc.DEKRA Certified ISO 9001:2015Quality Management SystemThis information is subject to change without notice.© Keysight Technologies, 2013 - 2017Published in USA, January 18, 20175991-3616EN/find/e5063aEvolvingOur unique combination of hardware, software, support, and people can help you reach your next breakthrough.We are unlocking the future of technology.From Hewlett-Packard to Agilent to KeysightmyKeysight/find/mykeysightA personalized view into the information most relevant to you.Keysight Services/find/serviceOur deep offering in design, test, and measurement services deploys an industry-leading array of people, processes, and tools. The result? We help you implement new technologies and engineer improved processes thatlower costs.Three-Year Warranty/find/ThreeYearWarrantyKeysight’s committed to superior product quality and lower total cost of ownership. Keysight is the only test and measurement company withthree-year warranty standard on all instruments, worldwide. And, we provide a one-year warranty on many accessories, calibration devices, systems andcustom products.Keysight Assurance Plans/find/AssurancePlansUp to ten years of protection and no budgetary surprises to ensure your instruments are operating to specification, so you can rely on accurate measurements.Keysight Channel Partners/find/channelpartnersGet the best of both worlds: Keysight’s measurement expertise and product breadth, combined with channel partner convenience.E5063A/2D5E5063A/2H5E5063A/2H5/GPIB E5063A-1CN E5063AU-010E5063A-810E5063A-820E5063A/205E5063A/205/GPIB E5063A/215 E5063A/235E5063A/245E5063A/245/GPIB E5063A/265E5063A/285。

pandas to_excel cannot be used in worksheets -回复

pandas to_excel cannot be used in worksheets -回复

pandas to_excel cannot be used in worksheets -回复“pandas to_excel无法在工作表中使用”的问题是常见的,许多使用Python的数据分析师经常面临这个问题。

本文将详细介绍如何解决这个问题,并提供一些替代方案。

Pandas是Python中用于数据分析和处理的强大库,它提供了许多功能,包括将数据导出到Excel文件中。

在大多数情况下,pandas的to_excel 函数是导出数据到Excel的首选方法。

然而,在某些情况下,用户可能会遇到一个问题,就是无法将数据导出到特定的工作表中。

那么为什么会出现这个问题呢?造成这个问题的原因可能有很多,以下是一些可能的原因和解决方法。

1. 数据表名包含特殊字符:在将数据导出到Excel工作表时,pandas要求工作表名称必须是有效的Excel命名约定。

如果数据表名称包含特殊字符(如空格、连字符、方括号等),则可能导致无法正确导出数据。

解决这个问题的方法是确保工作表名称是有效的Excel命名约定,并避免使用特殊字符。

2. 导出多个数据表:当我们想将多个数据表导出到同一个Excel文件的不同工作表中时,使用to_excel函数可能会遇到问题。

to_excel函数默认只能导出一个数据表到Excel文件的第一个工作表中,无法指定导出到其他工作表。

为了解决这个问题,我们可以使用pandas的ExcelWriter对象来手动创建和管理Excel文件,从而可以将多个数据表导出到不同的工作表中。

下面是一个示例代码,演示了如何使用ExcelWriter对象将多个数据表导出到Excel文件的不同工作表中:pythonimport pandas as pd# 创建一个新的ExcelWriter对象writer = pd.ExcelWriter('output.xlsx', engine='xlsxwriter')# 将数据表1导出到工作表1df1.to_excel(writer, sheet_name='Sheet1')# 将数据表2导出到工作表2df2.to_excel(writer, sheet_name='Sheet2')# 保存文件writer.save()在这个示例中,我们首先创建了一个ExcelWriter对象,并指定要导出的Excel文件的名称和引擎(这里使用xlsxwriter)。

DATE SHEET

DATE SHEET

6.0 7.0 8.0
7.1 9.1 9.1 拉拨力 Drawing force
尼龙铆钉 直径 4.0 系列单位:mm A B B 5.0 6.0 7.0 8.0 9.0 10.0 12.0 4.0 D E 7.1 7.1 9.0 9.0 11.0 11.0 14.0 拉拨力 Drawing force 20Kg
尼龙铆钉 直径 3.0 系列单位:mm A B C 3.5 4.5 5.5 6.5 7.5 8.0 9.0 10.0 3.0 D E 5.1 6.1 6.1 7.1 9.0 9.0 11.0 11.0 拉拨力 Drawing force 12Kg 8Kg
尼龙铆钉 直径 3.5 系列单位:mm A B C 3.5 4.5 5.0 3.5 D E 5.1 6.1 6.1
适用孔径 Hole Dia
适用板材 Panel Thick 0.6~1.2 1.3~2.0 2.1~2.8 2.9~3.6 3.7~4.4 4.5~5.2
A
B
C 2.4 3.2 4.0 4.8 5.6 6.4
D
E 3.8 3.8 5.5 5.5 7.2 7.2
拉拨力 Drawing force
2.1
R3560 R3570 R3580 型号 Part NO. R4050 R4060 R4070 R4080 R4090 R4100 R4120 型号 Part NO. R5045 R5055 R5065 R5075 R5085 R5095 R5105 型号 Part NO. R6060 R6080 适用孔径 Hole Dia 6.1 5.1 适用孔径 Hole Dia 4.1 适用孔径 Hole Dia
尼龙铆钉 直径 5.0 系列单位:mm A B C 4.5 5.5 6.5 7.5 8.5 9.5 10.5 5.0 D E 6.5 6.5 8.5 8.5 10.5 10.5 12.0 拉拨力 Drawing force 30Kg 25Kg

excel 的analysis data使用方法

excel 的analysis data使用方法

excel 的analysis data使用方法Excel 是一款功能强大的数据分析工具,它提供了多种方法和功能来帮助用户对数据进行分析和处理。

在本文中,我们将探讨 Excel 的数据分析使用方法并介绍一些常用的功能和技巧。

首先,让我们来了解一些 Excel 中常用的数据分析功能。

1. 排序功能:Excel 中的排序功能可以将数据按照特定的列或条件进行排序。

通过点击“数据”选项卡中的“排序”按钮,您可以选择按照升序或降序排序,并选择要排序的列。

2. 过滤功能:Excel 中的过滤功能可以帮助您根据特定的条件筛选数据。

通过点击“数据”选项卡中的“自动筛选”按钮,您可以启用过滤器,并在列标题上选择条件来筛选数据。

3. 函数和公式:Excel 提供了许多内置函数和公式来进行数据计算和分析。

例如,SUM 函数可以用于计算某一列或行中的数值之和,AVERAGE 函数可以计算某一列或行中数值的平均值,COUNT 函数可以计算某一列或行中非空单元格的数量等。

4. 条件格式:Excel 中的条件格式功能可以根据特定的条件对数据进行格式化。

通过点击“开始”选项卡中的“条件格式”按钮,您可以选择不同的格式化规则,例如基于数值大小的颜色设置、数据条形图等。

接下来,让我们了解一些在数据分析中常用的 Excel 技巧。

1. 数据透视表:Excel 中的数据透视表功能可以帮助您从大量的数据中提取出有用的信息。

通过点击“插入”选项卡中的“数据透视表”按钮,您可以选择要分析的数据范围和字段,并根据需要对数据进行汇总、排序和筛选。

2. 图表功能:Excel 中的图表功能可以将数据可视化,使得数据分析更加直观和易于理解。

通过选择数据范围,然后点击“插入”选项卡中的“图表”按钮,您可以选择不同类型的图表,例如柱形图、折线图、饼图等,并根据需要进行设置和格式化。

3. 条件计算:有时,我们需要根据特定的条件对数据进行计算。

Excel 中的 IF 函数可以帮助我们实现这一目的。

NCE8580 data sheet

NCE8580 data sheet

NCE N-Channel Enhancement Mode Power MOSFETDESCRIPTIONThe NCE8580 uses advanced trench technology and design to provide excellent R DS(ON) with low gate charge. This device is suitable for use in PWM, load switching and general purpose applications.GENERAL FEATURES● V DS =85V,I D =80AR DS(ON) < 8.5m Ω @ V GS =10V (Typ:6.8m Ω)● High density cell design for ultra low Rdson ● Fully characterized Avalanche voltage and current ● Special designed for Convertors and power controls ● Good stability and uniformity with high E AS ● Excellent package for good heat dissipation ● Special process technology for high ESD capabilityApplication● Power switching application● Hard Switched and High Frequency Circuits ● Uninterruptible Power Supply100% UIS TESTED!100% ΔVds TESTED!Schematic diagramMarking and pin AssignmentTO-220-3L top viewPackage Marking And Ordering InformationDevice MarkingDeviceDevice PackageReel SizeTape widthQuantityNCE8580 NCE8580 TO-220-3L---Absolute Maximum Ratings (TA=25℃unless otherwise noted)Parameter Symbol Limit UnitDrain-Source Voltage V DS 85 V Gate-Source Voltage V GS±20 V Drain Current-ContinuousI D 80 ADrain Current-Continuous(T C =100℃) I D (100℃) 60 A Pulsed Drain Current I DM 320 A Maximum Power Dissipation P D170 W Peak diode recovery voltage dv/dt15V/nsDerating factor1.13 W/℃Single pulse avalanche energy (Note 5)E AS 620 mJOperating Junction and Storage Temperature RangeT J ,T STG-55 To 175℃Thermal CharacteristicThermal Resistance,Junction-to-Case(Note 2)R θJC0.88/W ℃Electrical Characteristics (TA=25℃unless otherwise noted)Parameter Symbol ConditionMin Typ Max UnitOff CharacteristicsDrain-Source Breakdown Voltage BV DSS V GS =0V I D =250μA 87 89 - V Zero Gate Voltage Drain Current I DSS V DS =85V,V GS =0V -- 1 μA Gate-Body Leakage Current I GSS V GS =±20V,V DS =0V - - ±100 nA On Characteristics (Note 3) Gate Threshold VoltageV GS(th) V DS =V GS ,I D =250μA 2 2.85 4 V Drain-Source On-State Resistance R DS(ON) V GS =10V, I D =40A - 6.8 8.5 m Ω Forward Transconductance g FSV DS =25V,I D =40A 110 - - SDynamic Characteristics (Note4) Input Capacitance C lss - 4400 - PFOutput CapacitanceC oss - 340 - PFReverse Transfer Capacitance C rssV DS =25V,V GS =0V,F=1.0MHz- 260 - PF Switching Characteristics (Note 4) Turn-on Delay Time t d(on) - 18 - nSTurn-on Rise Time t r - 12 - nS Turn-Off Delay Time t d(off) - 56 - nSTurn-Off Fall Time t fVDD=30V,ID=2A,RL=15Ω ,RG=2.5Ω,VGS=10V - 15 - nSTotal Gate Charge Q g - 100 - nCGate-Source Charge Q gs - 20 - nCGate-Drain ChargeQ gd V DS =30V,I D =30A,V GS =10V- 30 - nC Drain-Source Diode Characteristics Diode Forward Voltage (Note 3) V SDV GS =0V,I S =40A - - 1.2 VDiode Forward Current (Note 2)I S - - 80 A Reverse Recovery Time t rr - 36 nS Reverse Recovery Charge Qrr Tj=25℃,I F =75A,di/dt=100A/μs(Note3)- 56 nCForward Turn-On Timet onIntrinsic turn-on time is negligible (turn-on is dominated by LS+LD)Notes:1. Repetitive Rating: Pulse width limited by maximum junction temperature.2. Surface Mounted on FR4 Board, t ≤ 10 sec.3. Pulse Test: Pulse Width ≤ 300μs, Duty Cycle ≤ 2%.4. Guaranteed by design, not subject to production5. EAS condition :Tj=25℃,V DD =40V,V G =10V,L=0.5mH,Rg=25ΩTest circuit1)E AS test Circuits2)Gate charge test Circuit:3)Switch Time Test Circuit:TYPICAL ELECTRICAL AND THERMAL CHARACTERISTICS (Curves)Vds Drain-Source Voltage (V)Figure 1 Output CharacteristicsVgs Gate-Source Voltage (V)Figure 2 Transfer CharacteristicsI D - Drain Current (A)Figure 3 Rdson- Drain CurrentT J -Junction Temperature(℃)Figure 4 Rdson-JunctionTemperatureQg Gate Charge (nC)Figure 5 Gate ChargeVsd Source-Drain Voltage (V)Figure 6 Source- Drain Diode ForwardR d s o n O n -R e s i s t a n c e (m Ω)I D - D r a i n C u r r e n t (A )I D - D r a i n C u r r e n t (A )N o r m a l i z e d O n -R e s i s t a n c eV g s G a t e -S o u r c e V o l t a g e (V )I s - R e v e r s e D r a i n C u r r e n t (A )Vds Drain-Source Voltage (V)Figure 7 Capacitance vs VdsVds Drain-Source Voltage (V)Figure 8 Safe Operation AreaT J -Junction Temperature(℃)Figure 9 BV DSS vs Junction TemperatureT J -Junction Temperature(℃)Figure 10 V GS(th) vs Junction TemperatureI D - D r a i n C u r r e n t (A )C C a p a c i t a n c e (p F )Square Wave Pluse Duration(sec) Figure 11 Normalized Maximum Transient Thermal Impedancer (t ),N o r m a l i z e d E f f e c t i v e T r a n s i e n t T h e r m a l I m p e d a n c eN o r m a l i z e d B V d s sTO-220-3L Package InformationATTENTION:■Any and all NCE power products described or contained herein do not have specifications that can handle applications that require extremely high levels of reliability, such as life-support systems, aircraft's control systems, or other applications whose failure can be reasonably expected to result in serious physical and/or material damage. Consult with your NCE power representative nearest you before using any NCE power products described or contained herein in such applications.■ NCE power assumes no responsibility for equipment failures that result from using products at values that exceed, even momentarily, rated values (such as maximum ratings, operating condition ranges, or other parameters) listed in products specifications of any and all NCE power products described or contained herein.■Specifications of any and all NCE power products described or contained herein stipulate the performance, characteristics, and functions of the described products in the independent state, and are not guarantees of the performance, characteristics, and functions of the described products as mounted in the customer’s products or equipment. To verify symptoms and states that cannot be evaluated in an independent device, the customer should always evaluate and test devices mounted in the customer’s products or equipment.■ NCE power Semiconductor CO.,LTD. strives to supply high-quality high-reliability products. However, any and all semiconductor products fail with some probability. It is possible that these probabilistic failures could give rise to accidents or events that could endanger human lives, that could give rise to smoke or fire, or that could cause damage to other property. When designing equipment, adopt safety measures so that these kinds of accidents or events cannot occur. Such measures include but are not limited to protective circuits and error prevention circuits for safe design, redundant design, and structural design.■ In the event that any or all NCE power products(including technical data, services) described or contained herein are controlled under any of applicable local export control laws and regulations, such products must not be exported without obtaining the export license from the authorities concerned in accordance with the above law.■No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying and recording, or any information storage or retrieval system, or otherwise, without the prior written permission of NCE power Semiconductor CO.,LTD.■Information (including circuit diagrams and circuit parameters) herein is for example only ; it is not guaranteed for volume production. NCE power believes information herein is accurate and reliable, but no guarantees are made or implied regarding its use or any infringements of intellectual property rights or other rights of third parties.■ Any and all information described or contained herein are subject to change without notice due to product/technology improvement, etc. When designing equipment, refer to the "Delivery Specification" for the NCE power product that you intend to use.■This catalog provides information as of Sep.2010. Specifications and information herein are subject to change without notice.。

excel中sourceposition使用方法

excel中sourceposition使用方法

excel中sourceposition使用方法
在Excel中,SourcePosition函数用于返回数据透视表中指定字段的源位置。

使用方法如下:
1. 选择数据透视表。

2. 右键点击数据透视表中的任何一个单元格,并选择“显示详细数据”选项。

3. 在详细数据中,选择您想要查看源位置的字段。

4. 在源位置字段中,右键点击任何一个单元格,并选择“源位置”选项。

5. Excel将会打开一个新的工作簿,并显示包含源位置信息的表格。

源位置信息将包括字段在原始数据中的行号、列号以及工作表名称。

通过查看源位置信息,您可以快速定位到原始数据中与透视表中显示的数据对应的位置。

请注意,SourcePosition函数仅适用于数据透视表。

exceldata包的中文名字:Excel数据导入、清洗与编码自动化工具说明书

exceldata包的中文名字:Excel数据导入、清洗与编码自动化工具说明书

Package‘exceldata’November20,2023Type PackageTitle Streamline Data Import,Cleaning and Recoding from'Excel'Version0.1.1.3Description A small group of functions to read in a data dictionary and thecorresponding data table from'Excel'and to automate the cleaning,re-codingand creation of simple calculated variables.This package was designed tobe a companion to the macro-enabled'Excel'template availableon the GitHub site,but works with any similarly-formatted'Excel'data.License MIT+file LICENSEEncoding UTF-8RoxygenNote7.2.3Imports dplyr,ggplot2,graphics,lubridate,readxl,scales,statsSuggests knitr,rmarkdownNeedsCompilation noAuthor Lisa Avery[aut,cre,cph](<https:///0000-0002-8431-5143>)Maintainer Lisa Avery<*****************>Repository CRANDate/Publication2023-11-2013:40:05UTCR topics documented:addFactorVariables (2)checkData (2)createCalculated (4)createCategorisedVar (4)createCombinedVar (5)createRecodedVar (6)createSurvVar (6)importCodes (7)importExcelData (7)plotVariables (9)readDataDict (10)readExcelData (11)1Index13 addFactorVariables Create factor variables from data dictionaryDescriptionThis function will replace the code and category variables with factors based on the factor levels provided in the data dictionary.The original variables are retained with the suffix’_orig’UsageaddFactorVariables(data,dictionary,keepOriginal=TRUE)Argumentsdata A data frame returned by readExcelDatadictionary A data frame returned by readDataDictkeepOriginal Boolean indicating if the original character variables should be kept,default is TRUE with_original appended to variable namesValueA data frame with the updated factor variablesExamples##Not run:exampleDataFile<-system.file("extdata","exampleData.xlsx",package="exceldata") dictionary<-readDataDict(exampleDataFile,dictionarySheet= DataDictionary )data<-readExcelData(exampleDataFile,dictionary,dataSheet= DataEntry )factorData<-addFactorVariables(data,dictionary,keepOriginal=TRUE)##End(Not run)checkData Check the entered data against the data dictionaryDescriptionThis function compares the data in the data entry table against the specifications in the dictionaryUsagecheckData(dictionary,data,id)Argumentsdictionary A data frame returned by readDataDictdata A data frame returned by readExcelDataid String indicating the ID variable,to display errors by ID instead of row numberDetailsPrior to reading in the data,the dictionary must be imported using readDataDict and the data must be imported using readExcelData.The function will check all variables in the dictionary.If variables are missing from the dictionary an error will occur.If variables are missing from the data table a warning will be shown.ValueA list with various reports of errors and duplicates•errors_by_row-A data frame with errors by rownumber,or ID if supplied•errors_by_variable-A data frame containing all errors by variable•duplicated_entries-A string containing a list of duplicated entries•error_dataframe-A data frame containing all the rows and columns with errors and Booleanvalues indicating if the entry is an errorExamples##Not run:exampleDataFile<-system.file("extdata","exampleData.xlsx",package="exceldata")dictionary<-readDataDict(exampleDataFile,dictionarySheet= DataDictionary )data<-readExcelData(exampleDataFile,dictionary,dataSheet= DataEntry )checks<-checkData(dictionary,data, ID )exampleDataFile<-system.file("extdata","exampleData_withErrors.xlsx",package="exceldata")dictionary<-readDataDict(exampleDataFile,dictionarySheet= DataDictionary )data<-readExcelData(exampleDataFile,dictionary,dataSheet= DataEntry )checks<-checkData(dictionary,data, ID )checks##End(Not run)4createCategorisedVar createCalculated Create calculated variablesDescriptionThis function will create survival and recoded variables according to the rules in the dictionary.xlsm file.See the Example sheet for an example.UsagecreateCalculated(data,dictionary,timeUnit="month")Argumentsdata A data frame data returned by the importExcelData or readExcelData functions dictionary A data frame returned by the importExcelData or readDataDict functionstimeUnit String containing the desired unit of time for survival variablesValueA data frame with the calculated variables as specified by the dictionaryExamples##Not run:exampleDataFile<-system.file("extdata","exampleData.xlsx",package="exceldata") dictionary<-readDataDict(exampleDataFile,dictionarySheet= DataDictionary )data<-readExcelData(exampleDataFile,dictionary,dataSheet= DataEntry )factorData<-addFactorVariables(data,dictionary,keepOriginal=TRUE)fullData<-createCalculated(factorData,dictionary,timeUnit= month )##End(Not run)createCategorisedVar Create categories from continuous dataDescriptionThis function will create categories based on the ranges provided in the instructionsUsagecreateCategorisedVar(data,newVarName,instructions)createCombinedVar5 Argumentsdata is data returned by the importExcelData or readExcelData functionsnewVarName the name of the new variable.Must be empty in datainstructions category names and boundscreateCombinedVar Create a combined variable from several dichotomous variablesDescriptionThis function will create a single variable from a set of dichotomous variables,usually checkbox items from a survey.The combined variable may be if there are a small number of popular response patterns.Currently this function only works with dichotomous variables.UsagecreateCombinedVar(data,dictionary,newVarName,varsToCombine,responseVal)Argumentsdata is data returned by the importExcelData or readExcelData functionsdictionary is the data dictionary returned by importExcelData or readDataDict functions newVarName the name of the new variable.varsToCombine a vector of thefirst and last variables to combine into the new variable.Note that the variables to be conbined mut be contiguous in the data.responseVal the value of the variables to be combined,usually this will be1for0,1variables or Yes for Yes No or Checked for Checked UncheckedDetailsThe instructions are contained in the Levels column of the data dictionary and should be in the format:original_varname,newCode1=oldcode1,oldCode2,...,newCode2=oldCode3,..For Example:instructions="T_Stage,T0=T0,T1up=T1,T2,T3,T4"will recode T1-T4as T1up and retain T0as is6createSurvVar createRecodedVar Create survival variables(survival duration+status)DescriptionThis function will create survival variables from an existing start variable date of event variable and last date followed variableUsagecreateRecodedVar(data,dictionary,newVarName,instructions)Argumentsdata is data returned by the importExcelData or readExcelData functionsdictionary is the data dictionary returned by importExcelData or readDataDict functions newVarName the name of the new variable.instructions are from the data dictionaryDetailsThe instructions are contained in the Levels column of the data dictionary and should be in the format:original_varname,newCode1=oldcode1,oldCode2,...,newCode2=oldCode3,..For Example:instructions="T_Stage,T0=T0,T1up=T1,T2,T3,T4"will recode T1-T4as T1up and retain T0as iscreateSurvVar Create survival variables(survival duration+status)DescriptionThis function will create survival variables from an existing start variable date of event variable and last date followed variableUsagecreateSurvVar(data,newVarName,survVars,timeUnit="month")importCodes7Argumentsdata A data frame returned by the importExcelData or readExcelData functions newVarName the name of the new survival variable.The status variable will be suffixed with ’_status’survVars In order the start date,event date and date of last followuptimeUnit Character,the unit of time to calculate survival variables for(ex:’day’’week’’month’’year’)importCodes Return A data frame of codesDescriptionAccepts a string input in the form"code1=label1,code2=label2,.."and returns A data frame with a column of codes and a column of labelsUsageimportCodes(labelStr,delim=",")ArgumentslabelStr in the format code1=label1,code2=label2delim delimeter separating codes in labelStr,defaults to’,’importExcelData Import Excel Data based on the specifications in a data dictionaryDescriptionThis function reads in a data dictionary and data entry table and converts code and category variables to factors as outlined in the dictionary.See the examples.UsageimportExcelData(excelFile,dictionarySheet="DataDictionary",dataSheet="DataEntry",id,saveWarnings=TRUE,setErrorsMissing=TRUE,use_labels=TRUE,range,8importExcelData colnames,origin,timeUnit="month")ArgumentsexcelFile path andfilename of the datafile containing the data and dictionarydictionarySheetname of the sheet containing the data dictionary,defaults to’DataDictionary’dataSheet name of the data entry sheet within thefile,defaults to’DataEntry’id String indicating the ID variable,to display errors by ID instead of row number saveWarnings Boolean,if TRUE and there are any warnings then the function will return a list with the data frame and the import warningssetErrorsMissingBoolean,if TRUE all values out of range will be set to NA use_labels should variable descriptions be added as variable label attributes,default is TRUErange Optional,Range of Excel sheet to restrict import to(ie.range="A1:F6")colnames Optional,Column names of the dictionary,defaults to those used in the Ex-cel template:c(’VariableName’,’Description(optional)’,’Type’,’Minimum’,’Maximum’,’Levels’)origin Optional,the date origin of Excel dates,defaults to30December1899timeUnit Character specifying the unit of time that should be used when creating survival type variables.Allowed values are from lubridate(ex:’day’’week’’month’’year’)DetailsThe exceldata package was designed around the DataDictionary.xlsm template.More documenta-tion and the current downloadable template can be found at:https:///biostatsPMH/exceldata#readme Note that as of release0.1.1.1the logfile will give row numbers corresponding to the row number in Excel,as opposed to the row number in the data frameWarning:If SetErrorsMissing=TRUE then a subsequent call to checkData will not return any errors,because the errors have already been set to missing.NOTE:This function will only read in those columns present in the DataDictionaryValueA list containing two data frames:the data dictionary and the data table•dictionary-A data frame with entries for each variable•data-A data frame containing the imported dataplotVariables9ExamplesexampleDataFile<-system.file("extdata","exampleData.xlsx",package="exceldata") import<-importExcelData(exampleDataFile,dictionarySheet= DataDictionary ,dataSheet= DataEntry )#The imported data dictionarydictionary<-import$dictionaryhead(dictionary)#The imported data,with calculated variablesdata<-import$datahead(data)#Simple univariate plots with outliersplots<-plotVariables(data=data,dictionary=dictionary,IDvar= ID )plotVariables Return a list of univariate ggplots for each non-character variableDescriptionThis function should be run as thefinal step after the data have been imported,checked and the factor variables created.UsageplotVariables(data,dictionary,IDvar,vars,showOutliers=TRUE)Argumentsdata A data frame containing the variables to be plotteddictionary Optional,the data dictionary returned by importExcelData or readDataDict func-tions to provide plot titlesIDvar Optional string indicating the name of an identifying variable to highlight out-liersvars Optional,vector of the names of variables to plotshowOutliers Boolean,Defaults to TRUE.Should outliers be labelled?Outliers are defined by the1.5xIQR rule(as with boxplots)ValueA list of plots with one plot for each variable10readDataDict Examples##Not run:exampleDataFile<-system.file("extdata","exampleData.xlsx",package="exceldata") import<-importExcelData(exampleDataFile,dictionarySheet= DataDictionary ,dataSheet= DataEntry )dictionary<-import$dictionarydata<-import$data#Simple univariate plots with outliersplots<-plotVariables(data=data,dictionary=dictionary,IDvar= ID )plots##End(Not run)readDataDict Read in the data dictionaryDescriptionThis function reads in a data dictionary from an Excelfile,based on the Excel DataDictionary templateUsagereadDataDict(excelFile,dictionarySheet="DataDictionary",range,colnames,origin)ArgumentsexcelFile Character,Path and Name of the datafiledictionarySheetCharacter,Name of the dictionary sheet within thefile,defaults to’DataDic-tionary’range Optional,Range of Excel sheet to restrict import to(ie.range="A1:F6")colnames Optional,Column names of the dictionary,defaults to those used in the Ex-cel template:c(’VariableName’,’Description(optional)’,’Type’,’Minimum’,’Maximum’,’Levels’)origin Optional,the date origin of Excel dates,defaults to30December1899DetailsIt assumes that the columns names have not been altered and are:c(’VariableName’,’Description (optional)’,’Type’,’Minimum’,’Maximum’,’Levels’)To override these column names specify colnames as an argument,ensuring that the content of the columns is in the above order.As of the time of writing,the origin date in Excel is30December 1899.To override this specify origin="yyy-mm-dd"To read in only part of the excel sheet specify the desired range(ie range="A1:F6")ValueA data frame with an entry for each variable to be importedExamplesexampleDataFile<-system.file("extdata","exampleData.xlsx",package="exceldata") dictionary<-readDataDict(exampleDataFile,dictionarySheet= DataDictionary )readExcelData Read Excel DataDescriptionThis function reads in an excel data table created by the dictionary.xlsm templatefile according to the specifications in the dictionaryUsagereadExcelData(excelFile,dictionary,dataSheet="DataEntry",saveWarnings=FALSE,setErrorsMissing=FALSE,use_labels=TRUE,range,origin)ArgumentsexcelFile path andfilename of the datafiledictionary A data frame returned by readDataDictdataSheet name of the data entry sheet within thefile,defaults to’DataEntry’saveWarnings Boolean,if TRUE and there are any warnings then the function will return a list with the data frame and the import warningssetErrorsMissingBoolean,if TRUE all values out of range will be set to NA use_labels should variable descriptions be added as variable label attributes,default isTRUErange Optional,Range of Excel sheet to restrict import to(ie.range="A1:F6")origin Optional,the date origin of Excel dates,defaults to30December1899 DetailsPrior to reading in the data,the dictionaryfile must be imported using readDataDict.Warning:If SetErrorsMissing=TRUE then a subsequent call to checkData will not return any errors,because the errors have been set to missing.NOTE:This function will only read in those columns present in the dictionaryValueA data frame containing the imported dataExamplesexampleDataFile<-system.file("extdata","exampleData.xlsx",package="exceldata") dictionary<-readDataDict(exampleDataFile,dictionarySheet= DataDictionary )data<-readExcelData(exampleDataFile,dictionary,dataSheet= DataEntry )IndexaddFactorVariables,2checkData,2createCalculated,4 createCategorisedVar,4 createCombinedVar,5 createRecodedVar,6createSurvVar,6importCodes,7importExcelData,7plotVariables,9readDataDict,10readExcelData,1113。

西门子技术问题总汇

西门子技术问题总汇

文档标题
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NC6.1数据字典EXCEL版(全)

NC6.1数据字典EXCEL版(全)

模块名模块编码组件编码组件名实体名表名公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap job职务人力资源管理_职务om_job公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap jobtype职务类别人力资源管理_职务类别om_jobtype 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept 公共组件uap dept组织_部门组织_部门org_dept公共组件uap dept组织_部门组织_部门org_dept公共组件uap dept组织_部门组织_部门org_dept公共组件uap dept组织_部门组织_部门org_dept公共组件uap dept组织_部门组织_部门org_dept公共组件uap dept组织_部门组织_部门org_dept公共组件uap dept组织_部门组织_部门org_dept公共组件uap dept组织_部门组织_部门org_dept公共组件uap dept组织_部门组织_部门org_dept公共组件uap Entity Entity实体md_class公共组件uap Entity Entity实体md_class公共组件uap Entity Entity实体md_class公共组件uap Entity Entity实体md_class公共组件uap Entity Entity实体md_class公共组件uap Entity Entity实体md_class公共组件uap Entity Entity实体md_class公共组件uap Entity Entity实体md_class公共组件uap Entity Entity实体md_class公共组件uap Entity Entity实体md_class公共组件uap Entity Entity实体md_class公共组件uap Entity Entity实体md_class公共组件uap Entity Entity实体md_class公共组件uap Entity Entity实体md_class公共组件uap Entity Entity实体md_class公共组件uap Entity Entity实体md_class公共组件uap sysvariant s ysvariant环境上下文uap_sysvariant 公共组件uap sysvariant s ysvariant环境上下文uap_sysvariant 公共组件uap sysvariant s ysvariant环境上下文uap_sysvariant 公共组件uap sysvariant s ysvariant环境上下文uap_sysvariant 公共组件uap sysvariant s ysvariant环境上下文uap_sysvariant 公共组件uap sysvariant s ysvariant环境上下文uap_sysvariant 公共组件uap sysvariant s ysvariant环境上下文uap_sysvariant 公共组件uap sysvariant s ysvariant环境上下文uap_sysvariant 公共组件uap sysvariant s ysvariant环境上下文uap_sysvariant用户定义属性组bd_userdefrule 公共组件uap userdefrule用户定义属性用户定义属性组bd_userdefrule 公共组件uap userdefrule用户定义属性用户定义属性组bd_userdefrule 公共组件uap userdefrule用户定义属性用户定义属性组bd_userdefrule 公共组件uap userdefrule用户定义属性用户定义属性组bd_userdefrule 公共组件uap userdefrule用户定义属性公共组件uap userdefrule用户定义属性用户定义属性组bd_userdefrule用户定义属性组bd_userdefrule 公共组件uap userdefrule用户定义属性用户定义属性组bd_userdefrule 公共组件uap userdefrule用户定义属性用户定义属性组bd_userdefrule 公共组件uap userdefrule用户定义属性用户定义属性组bd_userdefrule 公共组件uap userdefrule用户定义属性用户定义属性组bd_userdefrule 公共组件uap userdefrule用户定义属性用户定义属性组bd_userdefrule 公共组件uap userdefrule用户定义属性用户定义属性组bd_userdefrule 公共组件uap userdefrule用户定义属性用户定义属性组bd_userdefrule 公共组件uap userdefrule用户定义属性用户定义属性bd_userdefitem 公共组件uap userdefrule用户定义属性用户定义属性bd_userdefitem 公共组件uap userdefrule用户定义属性用户定义属性bd_userdefitem 公共组件uap userdefrule用户定义属性用户定义属性bd_userdefitem 公共组件uap userdefrule用户定义属性用户定义属性bd_userdefitem 公共组件uap userdefrule用户定义属性用户定义属性bd_userdefitem 公共组件uap userdefrule用户定义属性用户定义属性bd_userdefitem 公共组件uap userdefrule用户定义属性公共组件uap userdefrule用户定义属性用户定义属性bd_userdefitem用户定义属性bd_userdefitem 公共组件uap userdefrule用户定义属性供应商基本信息bd_supplier公共组件uap supplier供应商基本信供应商基本信息bd_supplier公共组件uap supplier供应商基本信供应商基本信息bd_supplier公共组件uap supplier供应商基本信供应商基本信息bd_supplier公共组件uap supplier供应商基本信公共组件uap supplier供应商基本信供应商基本信息bd_supplier供应商基本信息bd_supplier公共组件uap supplier供应商基本信公共组件uap dept组织_部门组织_部门org_dept公共组件uap dept组织_部门组织_部门org_dept公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap dept_v组织_部门版组织_部门版本信息org_dept_v公共组件uap 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bd_bom物料清单物料清单多产出bd_bom_outputsorg_admorgmember_v 公共组件uap adminorgstr组织结构_行组织结构_行政组织结构成org_admorgmember_v 公共组件uap adminorgstr组织结构_行组织结构_行政组织结构成。

使用Excel中的函数来处理专利分析数据

使用Excel中的函数来处理专利分析数据

使用Excel中的函数来处理专利分析数据Excel是一个功能强大的电子表格软件,可以用来处理各种类型的数据,包括专利分析数据。

专利分析是对专利相关数据进行研究和分析的过程,可以帮助研究人员和企业理解市场趋势、竞争格局和技术发展方向。

本文将介绍如何使用Excel中的函数来处理专利分析数据,包括数据清洗、数据分析和数据可视化。

1. 数据清洗在处理专利分析数据时,首先需要进行数据清洗,以确保数据的准确性和完整性。

Excel提供了一系列函数来帮助用户进行数据清洗,包括文本函数、逻辑函数和日期函数等。

如果专利数据中存在大量重复的内容,可以使用Excel的“去重”函数来删除重复数据。

可以使用文本函数来处理专利名称或申请人名称中的格式问题,比如将全部大写字母转换为小写字母,或者去除空格和特殊符号。

逻辑函数可以帮助用户进行数据筛选和分类,比如使用IF函数来根据条件判断是否为优先权申请等。

日期函数则可以帮助用户进行时间数据的转换和计算,比如将日期格式标准化,或者计算专利申请的间隔时间。

2. 数据分析统计函数可以帮助用户对专利数据进行汇总和分析,比如使用COUNT、SUM和AVERAGE 等函数来统计专利数量、申请人数量和技术分类数量等。

透视表和数据透视图可以帮助用户对专利数据进行多维分析,比如按申请年份、申请国家和技术领域等进行分类,并对各项指标进行统计和比较。

Excel还提供了数据分析工具包,可以进行更加复杂的统计分析和建模,比如回归分析、相关性分析和聚类分析等。

用户可以根据具体需求选择合适的函数和工具来进行专利分析。

3. 数据可视化数据可视化是专利分析的重要环节,可以帮助用户直观地展现数据的特征和规律。

Excel提供了多种图表和图形函数,可以帮助用户进行数据可视化,包括柱状图、折线图、饼图和散点图等。

用户可以根据具体需求选择合适的图表类型来展现专利数据的特征和趋势,比如使用柱状图展示各个国家的专利数量,使用折线图展示专利申请数量随时间的变化,或者使用饼图展示不同技术领域的专利分布情况。

X67DI1371数字输入模块数据表 V3.23说明书

X67DI1371数字输入模块数据表 V3.23说明书

X67DI13711 General informationThe module is a digital input module for 24 VDC. It has 8 inputs for sink input circuits.■For all standard sensors with M8 connectors■Extremely short cycle times■Integrated sensor supply with short circuit protection2 Order dataTable 1: X67DI1371 - Order data3 Technical dataTable 2: X67DI1371 - Technical dataTable 2: X67DI1371 - Technical data1)The power consumption of the sensors and actuators connected to the module is not permitted to exceed 12 W.4 LED status indicatorsStatus indicator 2:Left: green; Right: red5 Connection elementsDigital inputs 1 to 8X2X LinkConnector A: Input Connector B: Output24 VDC I/O power supply Connector C: SupplyConnector D: Pass through6 X2X LinkThis module is connected to X2X Link using pre-assembled cables. The connection is made using M12 circular connectors.1137 24 VDC I/O power supplyThe I/O power supply is connected via M8 connectors C and D. The I/O power supply is connected via connector C (male). Connector D (female) is used to route the I/O power supply to other modules.Information:The maximum permissible current for the I/O power supply is 8 A (4 A per connection pin)!338 PinoutX67CA0D40.xxxx:M8 sensor cable, straight①X67CA0D50.xxxx:M8 sensor cable, angled8.1 Connections X1 to X81343419 Connection example10 Input circuit diagram11 Register description11.1 General data pointsIn addition to the registers listed in the register description, the module also has other more general data points. These registers are not specific to the module but contain general information such as serial number and hardware version.These general data points are listed in section "Additional information - General data points" of the X67 system user's manual.11.2 Function model 0 - Standard11.3 Function model 254 - Bus controller1)The offset specifies the position of the register within the CAN object.11.3.1 Using the module on the bus controllerFunction model 254 "Bus controller" is used by default only by non-configurable bus controllers. All other bus controllers can use additional registers and functions depending on the fieldbus used.For detailed information, see section "Additional information - Using I/O modules on the bus controller" of the X67 user's manual (version 3.30 or later).11.3.2 CAN I/O bus controllerThe module occupies 1 digital logical slot on CAN I/O.11.4 Digital signal - Communication11.4.1 Digital inputsFilteredThe filtered status is collected with a fixed offset to the network cycle and transferred in the same cycle.11.4.1.1 Input state of digital inputs 1 to 8Name:DigitalInput01 to DigitalInput08This register indicates the input state of digital inputs 1 to 8.Bit structure:11.4.2 Reading the module IDName:asy_ModulIDThis register offers the possibility to read the module ID.11.5 Minimum cycle timeThe minimum cycle time specifies the time up to which the bus cycle can be reduced without communication errors occurring. It is important to note that very fast cycles reduce the idle time available for handling monitoring, diagnostics and acyclic commands.11.6 Minimum I/O update timeThe minimum I/O update time defines how far the bus cycle can be reduced while still allowing an I/O update to take place in each cycle.。

Oracle制造执行系统(离散制造业)数据表单说明书

Oracle制造执行系统(离散制造业)数据表单说明书

The content of the dispatch list is configurable and the display can be modified by Figure 1. Operators are presented with dispatch lists that are highly configurable–Reorder dispatch lists–Report resource usage •View Historical Transactions –Access Gantt ChartsFLEXIBILITY AND CONFIGURABILITY•Control UI layout, content, system behavior, and security through 36 parameters •Configure at site, role, org, and department levels •Hooks for custom business rules filtering, ordering, and grouping to improve production efficiencies. Many filter parameters are provided for enhanced configuration of displaying information seen in the dispatch list. Columns in the list display information on a job, such as scheduled start and end times, customer, setup, indicators of job readiness, clocked- in jobs, and expedited jobs. The columns can also be configured to display or to be hidden based on requirements.You can perform many actions related to a job in a dispatch list, such as recording work start and end times, reporting moves recording, completion and scrap transactions, viewing work requirements, and reporting exceptions. The dispatch list thus serves as a starting point of a day for an operator.Configurable Work Content and Sequential Display of Work InstructionsThe detailed work content can be configured to display the information necessary for a job operation, such as sequential display of work instructions, information on components, and resources required to perform the operation.Figure 2. Sequential display of instructions in the work content page guides operators in performing their workThe online presentation of work instructions guides the operators in performing their work efficiently and enables companies to go “paperless” on the shop floor. On completion of a job, detailed work instructions for the next job display for the operators, without the need to navigate back to the Dispatch List.Shift In / Out and Clock In / Out for Actual Time CaptureThe MES Workstation can record and report the start of the shift activities and actual times spent on job operations, taking away the need to manually report resource transactions, thus maximizing shop floor productivity.The actual attendance hours are calculated based on the difference between times registered through Shift In and Shift Out. Users also have the ability to perform “Undo Shift -In”.Figure 5. Operators have the ability to report work hours, quality results, component backflush details all through a single screenFigure 6. Multiple component transactions with lot serial details can be reported from a single screenShop Floor Exception ReportingOperators can report events and occurrences that prevent them from performing work on a job operation through the MES Workstation by logging an exception. For example, an exception can be due to a physical lack of components, partially finished assemblies from a prior operation, non-availability of a regular labor resource or an inoperable machine, or in-process production quality problem. Operators can also record the reasons for an exception and supervisors can be notified to resolve exceptions.Figure 7. Operators can report exceptions that prevent work progress and also record reasons for exceptionsSerialized ManufacturingSerialized jobs are discrete jobs that have pre-defined and associated assembly serial numbers, and Serialization Start Operation (SSO) in the operation identified in the routing from where the assemblies are tracked and transacted using the specific assembly serial numbers.The MES operator is able to view and transact both serialized and non-serialized jobs from the MES workstation. The operator can search and transact on serial numbers, and also enter details of quality results as a part of the serialized manufacturing transactions. The key advantage of using serialized manufacturing inFigure 8. Operators can capture device and test equipment readings directly into Oracle Quality collection plansPrint Job Traveler and LabelsOperators need detailed instructions and information of a job to perform, including BOM, routing number and version, components to use, routing sequence, resource, item serial numbers, attachments, and notes. A Job Traveler contains all this data and can be printed and move with the job.The Job Traveler feature provided as a part of the MES workstation lets an operatorFigure 9. Operators can print the Job traveler from the MES WorkstationRegulatory Compliant MES WorkstationThe MES workstation enables electronic records and signatures and meets the 21 CFR part 11 regulatory requirements. Electronic Records and Electronic Signature (ERES) capabilities are provided for move, completion and material transactions in the MES.provides real-time analytical information of various activities of the shop floor. Supervisor Dashboard of the MES Supervisor Workbench provides supervisors with a summarized view of exceptions along with their resolution status and a snapshot of the current shop floor progress for review on a single window. The Supervisor Dashboard is the starting point for a day of a supervisor.Figure 10. Supervisor’s Dashboard in the MES Supervisor Workbench provides complete visibility into exceptions statuses and current shop floor progress in a graphical formatKey Shop Floor Metrics in the DashboardA typical production shop may have many metrics that are monitored for ensuring good productivity and quality, and for developing better processes. The MES Supervisor dashboard provides prebuilt shop floor metrics in a graphical format with drill-down capabilities to view details. This is one of the most powerful tools that the shop floor supervisor can use on a daily basis.The key metrics that are available for a supervisor are:•Production to plan – helps in viewing progress of production•Labor performance metrics – helps in managing labor effectively•First pass yield – helps in checking quality of products•Work order shortages – helps in taking actions based on shortagesExceptions Summary and Resolution CapabilitiesInformation presented in exceptions on the Supervisor’s Dashboard is a summarized view and a graphical representation of open and closed exceptions that were logged in the past. The supervisor can drill down to the specific details of an exception and resolve it by taking appropriate actions, such as assigning alternate resources, rescheduling job operations, placing problematic jobs on hold, and assigning shop floor status.Figure 11. Supervisors can undertake many actions for resolving shop floor exceptionsSupervisors have the ability to resolve several related exceptions at once, and also on a case-by-case basis. In addition, the supervisor can associate an exception with all the jobs that may be impacted by it.Capacity, Component, Labor availability / ShortagesThe Capacity Shortage view in the dashboard highlights available versus required resource capacities and shortages by shift and at-risk job operations for which projected completion time exceeds shift end or scheduled completion time.Figure 12. Shop floor progress information based on Operator, Work order, component availability / shortageSupervisors also have the ability to navigate to specific tabs providing information on Component shortages, labor availability as well as work order status.Component Shortages – The supervisor is provided with a material centric view of the shop floor. Shortage of components is displayed for an upcoming shift. The supervisor also gets to know the impacted jobs because of the component shortage.Labor availability – Operator Availability tab in Supervisor dashboard providesThis helps the supervisor to proactively manage shortages by taking appropriate actions.Current Shop Floor State ViewAn alternate view in the Supervisor Dashboard displays the status of current jobs running, the machines on which they are running, operator’s name, and projected completion time.MES Supervisor WorkstationBy logging into the MES Supervisor Workbench, supervisors can access the Supervisor Workstation to perform activities, such as reviewing and reordering dispatch lists, expediting a “hot” customer order, reporting resource usages for multiple jobs en-masse, and reviewing historical transactions. The MES Supervisor Workbench is similar to the MES Workstation for operators, with additional privileges for supervisory functions.Figure 13. Many supervisory functions such as expediting and reordering the dispatch list can be performed in the Supervisor’s WorkbenchExpediting JobsSupervisors can expedite a job operation to the top of the dispatch list using a simple button to react to situations such as a rush order. Expedited jobs are indicated in the dispatch list by a specific icon.Reordering Dispatch ListsSupervisors can also exercise the reordering capability to specify the order in which the jobs must be queued for manufacturing, based on several criteria such as schedule group and build sequence. The criteria for reordering can be chosen and configured through the workstation parameters.Reporting Resource UsageSupervisors can report time based and non-time based resource usages for multiple jobs through a single user interface. This is beneficial in situations where resource usages are reported in specific intervals of time and only authorized personnel such as supervisors can perform such transactions.Figure 14. Reporting resource usage enmasse through the Supervisor WorkstationViewing Historical TransactionsSupervisors can review all job transactions performed to date, at a single place without navigating to multiple screens.Figure 15. All transactions related to a Job can be reviewed from a single screenFlexibility and Configurability for Deployment NeedsManufacturing Execution System for Discrete Manufacturing is flexible and configurable depending upon the deployment needs of an enterprise. Thirty-six parameters can be set at the site, responsibility, organization, and department levels to control the user interface layout, content, application performance, and security.For example, the criteria for ordering jobs in the dispatch list for a particular plant could be different from another. Or, it may be mandatory for operators to use a badge ID while performing move transactions in one department, but another may choose not to enforce this restriction.Since customers utilize different methods to perform validation outside of Oracle MES, custom hooks has been provided, where they can plug in their custom logic and the status is communicated to Oracle MES.Since there is no “one-size-fits-all” MES solution, the Oracle solution provides flexibility and configurability to meet the needs of various manufacturing environments. It is best suited for, though not limited to, manufacturing environments that have low to medium production volume with high product mix,have relatively light machine automation layer, and are in the process of going paper-less on the shop floor. Reduce Costs and Integration Headaches Enriched with deeper execution capabilities, the choice of the Manufacturing Execution System for Discrete Manufacturing as the shop floor execution system eliminates the need for most customers to opt for a 3rd party or a homegrown MES system. In addition to satisfying the basic manufacturing execution requirements, it also helps in removing manual processes and non-value added activities for shop floor supervisors and operators. Since the Manufacturing Execution System for Discrete Manufacturing is an integral part of the E-Business Suite, there are no additional costs associated with implementing, integrating, training, and maintaining a third party MES product. This reduces the total cost of ownership and helps in standardizing your plant systems. Conclusion Oracle Manufacturing Execution System for Discrete Manufacturing helps discrete manufacturing businesses by providing enhanced shop floor execution capabilities, improving productivity and efficiency, enhancing visibility into shop floor processes, managing exceptions proactively, and providing high degrees of flexibility and configurability. With the addition of Manufacturing Execution Systems, discrete manufacturing companies will now find Oracle Applications as a one-stop-shop for managing their manufacturing operations with an integrated solution that is readily deployable and available off-the-shelf. Contact Us For more information about Oracle Work in Process, please visit or call +1.800.ORACLE1 to speak to an Oracle representative. Copyright © 2009, Oracle and/or its affiliates. All rights reserved. This document is provided for information purposes only and the contents hereof are subject to change without notice. This document is not warranted to be error-free, nor subject to any other warranties or conditions, whether expressed orally or implied in law, including implied warranties and conditions of merchantability or fitness for a particular purpose. We specifically disclaim any liability with respect to this document and no contractual obligations are formed either directly or indirectly by this document. This document may not be reproduced or transmitted in any form or by any means, electronic or mechanical, for any purpose, without our prior written permission. Oracle is a registered trademark of Oracle Corporation and/or its affiliates. Other names may be trademarks of their respective owners. 0109Deploying ManufacturingExecution System for Discrete Manufacturing as your shop floor execution system helps you to achieve the following: • Improved productivity and efficiency• Increased shop floor visibility • Fulfill regulatory compliance needs• Reduced costs of ownership • Reduce integration cost and complexitiesRELATED PRODUCTS • Discrete Manufacturing – Work-in-Process– Quality Management – Project Manufacturing – Inventory– Bills of Material– MRP– Cost Management – Configure-to-Order • Advanced Planning and Scheduling• Production Scheduling • Daily Business Intelligence11。

Excel在液压扭矩扳手数据处理中的应用

Excel在液压扭矩扳手数据处理中的应用

Excel在液压扭矩扳手数据处理中的应用【摘要】液压扭矩扳手是工业领域常用的一种工具,用于测量和调整螺栓的扭矩。

在液压扭矩扳手数据处理中,Excel起着至关重要的作用。

在数据录入与整理阶段,Excel可以帮助用户快速准确地输入和整理数据。

在数据分析与图表制作过程中,Excel提供了丰富的函数和图表工具,帮助用户分析数据并直观展示结果。

接着,在数据对比与结果输出阶段,Excel可以快速比较不同数据,并输出结果。

Excel还可以帮助用户处理异常数据,提高数据处理的准确性。

Excel在液压扭矩扳手数据处理中发挥着不可替代的作用。

未来,随着技术的发展,Excel在这一领域的应用将会更加广泛。

建议用户不断学习和掌握Excel技巧,以更高效地处理液压扭矩扳手数据。

【关键词】Excel, 液压扭矩扳手, 数据处理, 数据录入, 数据整理, 数据分析, 图表制作, 数据对比, 结果输出, 异常数据处理, 作用总结, 未来发展趋势, 建议与展望.1. 引言1.1 液压扭矩扳手简介液压扭矩扳手是一种广泛应用于机械制造、航空航天、汽车维修等领域的专业工具,用于紧固螺丝和螺母时的扭矩控制。

液压扭矩扳手通过增加液压系统,能够实现更精准的扭矩控制,避免过紧或者过松的情况发生,确保螺栓的稳固连接。

液压扭矩扳手通常由扭矩传感器、液压控制系统、扭矩调节装置等组成。

通过扭矩传感器测量扳手所施加的扭矩大小,液压控制系统根据设定的扭矩数值来调节液压输出,实现精准控制。

扭矩调节装置则用于设置和调整扭矩数值,确保工作过程中的准确性和稳定性。

液压扭矩扳手的工作原理简单易懂,操作方便灵活,广泛应用于需要扭力控制的领域。

在工程施工、机械制造、汽车维修等行业,液压扭矩扳手都扮演着重要的角色,提高了工作效率,减少了因扭矩不准确带来的损失,是现代工作中不可或缺的工具之一。

2. 正文2.1 Excel在液压扭矩扳手数据处理中的重要性Excel在液压扭矩扳手数据处理中的重要性不可忽视。

SAP EXCEL导入限制修改

SAP EXCEL导入限制修改

SAP EXCEL导入限制修改关于Excel上载限制修改,SAP提供Excel上载文件的一个函数:ALSM_EXCEL_TO_INTERNAL_TABLE,但此函数有两个限制。

一:每个CELL只能导入50个字符;二:如果超过9999行,行号会初始化为零开始。

解决此问题,只需要修改结构ALSMEX_TABLINE的字段,然后COPY ALSM_EXCEL_TO_INTERNAL_TABLE为ZALSM_EXCEL_TO_INTERNAL_TABLE,并做少许改动即可。

第一步:COPY ALSMEX_TABLINE为ZALSMEX_TABLINE修改其字段类型:第二步:COPY ALSM_EXCEL_TO_INTERNAL_TABLE为ZALSM_EXCEL_TO_INTERNAL_TABLE并第三步:将COPY出来的代码添加如下代码并激活。

下面为EXCEL导入的简单示例:REPORT ZTEMPRO3.*----------------------------------------------------------------------** TABLE*----------------------------------------------------------------------*TABLES: ZISS_CO_006.*----------------------------------------------------------------------** TYPE-POOLS*----------------------------------------------------------------------**----------------------------------------------------------------------** TYPE*----------------------------------------------------------------------*TYPES:BEGIN OF TYP_UPLOAD,RYEAR TYPE STRING,POPER TYPE STRING,BUKRS TYPE STRING,RACCT TYPE STRING,FKBER TYPE STRING,LINETYPE TYPE STRING,HSL TYPE STRING,END OF TYP_UPLOAD.*----------------------------------------------------------------------** INTERNAL TABLE*----------------------------------------------------------------------***---- INTERNAL TABLE ----**DATA: IT_UPLOAD TYPE STANDARD TABLE OF TYP_UPLOAD.DATA: IT_OUTPUT LIKE STANDARD TABLE OF ZISS_CO_006 WITH HEADER LINE. **---- HEADER ----**DATA: WA_UPLOAD TYPE TYP_UPLOAD.*----------------------------------------------------------------------** WORKS*----------------------------------------------------------------------**----------------------------------------------------------------------** DATA*----------------------------------------------------------------------*DATA: ITAB TYPE STANDARD TABLE OF ZALSMEX_TABLINE WITH DEFAULT KEY.*----------------------------------------------------------------------** CONSTANTS*----------------------------------------------------------------------**----------------------------------------------------------------------** FIELD-SYMBOLS*----------------------------------------------------------------------*FIELD-SYMBOLS: <WA_ITAB> TYPE ZALSMEX_TABLINE.*----------------------------------------------------------------------** RANGES*----------------------------------------------------------------------**----------------------------------------------------------------------** PARAMETERS*----------------------------------------------------------------------*SELECTION-SCREEN BEGIN OF BLOCK 0 WITH FRAME TITLE TEXT-001.PARAMETERS: FLOCAL LIKE RLGRAP-FILENAMEDEFAULT 'D:\FILE.XLSX' OBLIGATORY.SELECTION-SCREEN END OF BLOCK 0.*======================================================================** MAIN ROUTINE*==================================================================== ==*AT SELECTION-SCREEN ON VALUE-REQUEST FOR FLOCAL.PERFORM FRM_SELECT_FILE CHANGING FLOCAL. "选择文件*----------------------------------------------------------------------** START-OF-SELECTION*----------------------------------------------------------------------*START-OF-SELECTION.CALL FUNCTION 'ZALSM_EXCEL_TO_INTERNAL_TABLE'EXPORTINGFILENAME = flocalI_BEGIN_COL = 1 "导入单元格的开始列I_BEGIN_ROW = 2 "导入单元格的开始行I_END_COL = 8 "导入单元格的结束列I_END_ROW = 65535 "导入单元格的结束行TABLESINTERN = ITABEXCEPTIONSINCONSISTENT_PARAMETERS = 1UPLOAD_OLE = 2OTHERS = 3.IF ITAB IS INITIAL.MESSAGE '导入模板中无数据' TYPE 'E'.ENDIF.SORT ITAB BY ROW.* 文件上传PERFORM FRM_UPLOAD.* 将数据插入数据库PERFORM FRM_INS_DATA.*----------------------------------------------------------------------** END-OF-SELECTION*----------------------------------------------------------------------**&---------------------------------------------------------------------**& Form FRM_SELECT_FILE*&---------------------------------------------------------------------** 选择文件*----------------------------------------------------------------------*FORM FRM_SELECT_FILE CHANGING C_FLOCAL.DATA: l_rc TYPE i,l_filetable TYPE filetable,l_filefilter TYPE string.l_filefilter = 'Excel文件 (*.xlsx)|*.xlsx|全部文件 (*.*)|*.*|'.CALL METHOD cl_gui_frontend_services=>file_open_dialog EXPORTINGwindow_title = '选择上载文件'file_filter = l_filefiltermultiselection = spaceCHANGINGfile_table = l_filetablerc = l_rcEXCEPTIONSfile_open_dialog_failed = 1cntl_error = 2error_no_gui = 3not_supported_by_gui = 4OTHERS = 5.IF sy-subrc = 0 AND l_rc = 1.READ TABLE l_filetable INTO C_FLOCAL INDEX 1.ENDIF.ENDFORM. " FRM_SELECT_FILE*&---------------------------------------------------------------------**& Form FRM_UPLOAD*&---------------------------------------------------------------------** 文件上传*----------------------------------------------------------------------*FORM FRM_UPLOAD .LOOP AT ITAB ASSIGNING <WA_ITAB>.CASE <wa_itab>-col.WHEN '0001'.wa_upload-RYEAR = <wa_itab>-value.WHEN '0002'.wa_upload-POPER = <wa_itab>-value.WHEN '0003'.wa_upload-BUKRS = <wa_itab>-value.WHEN '0004'.wa_upload-RACCT = <wa_itab>-value.WHEN '0005'.wa_upload-FKBER = <wa_itab>-value.WHEN '0006'.wa_upload-LINETYPE = <wa_itab>-value.WHEN '0007'.wa_upload-HSL = <wa_itab>-value.WHEN OTHERS.ENDCASE.AT END OF ROW.APPEND WA_UPLOAD TO IT_UPLOAD.CLEAR WA_UPLOAD.ENDAT.ENDLOOP.ENDFORM. " FRM_UPLOAD*&---------------------------------------------------------------------**& Form FRM_INS_DATA*&---------------------------------------------------------------------** 插入数据至数据库*----------------------------------------------------------------------*FORM FRM_INS_DATA .LOOP AT IT_UPLOAD INTO WA_UPLOAD.IT_OUTPUT-RYEAR = WA_UPLOAD-RYEAR.IT_OUTPUT-POPER = WA_UPLOAD-POPER.IT_OUTPUT-BUKRS = WA_UPLOAD-BUKRS.IT_OUTPUT-RACCT = WA_UPLOAD-RACCT.IT_OUTPUT-FKBER = WA_UPLOAD-FKBER.IT_OUTPUT-LINETYPE = WA_UPLOAD-LINETYPE.IT_OUTPUT-HSL = WA_UPLOAD-HSL.APPEND IT_OUTPUT.CLEAR: WA_UPLOAD.ENDLOOP.IF IT_OUTPUT IS NOT INITIAL.LOOP AT IT_OUTPUT.MODIFY ZISS_CO_006 FROM IT_OUTPUT.ENDLOOP.MESSAGE '更新完成' TYPE 'I'.ENDIF.ENDFORM. " FRM_INS_DATA。

使用Excel中的函数来处理专利分析数据

使用Excel中的函数来处理专利分析数据

使用Excel中的函数来处理专利分析数据一、导入专利数据在进行专利分析之前,首先需要将专利数据导入到Excel中进行处理。

通常,我们可以将专利数据保存为CSV格式的文件,然后使用Excel的数据导入功能将其导入到工作表中。

在导入数据的过程中,我们可以根据数据的格式和结构选择合适的导入方式,确保数据能够正确地显示在工作表中。

二、数据清洗在导入数据之后,我们通常需要对数据进行清洗,以确保数据的准确性和完整性。

数据清洗的过程包括去除重复数据、填补缺失值、统一格式等操作。

在Excel中,我们可以使用一些函数来进行数据清洗,比如去重函数、填充函数、文本函数等。

下面就来介绍一些常用的函数及其用法。

1.去重函数在专利数据中,经常会出现重复的数据。

为了确保数据的准确性,我们通常需要去除重复数据。

在Excel中,我们可以使用“高级筛选”功能来去除重复数据。

具体操作步骤如下:(1)首先选中要去重的数据范围,点击“数据”菜单中的“高级筛选”选项;(2)在弹出的对话框中,选择“筛选列表中的唯一记录”,并选择数据的输出范围;(3)点击“确定”按钮,即可完成去重操作。

3.文本函数在专利数据中,有时会出现格式不统一的情况,需要进行格式统一。

在Excel中,我们可以使用一些文本函数来进行格式统一操作,比如“左”函数、“右”函数、“文本替换”函数等。

具体操作步骤如下:(1)选中要处理的文本数据范围,编写相应的文本函数进行格式统一操作;(2)在单元格中输入函数公式,按下回车键即可完成格式统一操作。

四、数据可视化除了进行数据分析之外,我们通常还需要将分析结果进行可视化展示,以便更直观地呈现数据的特征和规律。

在Excel中,有许多图表工具可以帮助我们进行数据的可视化,比如折线图、柱状图、饼图等。

通过这些图表工具,我们可以将数据转化为直观的图形,以便更好地理解数据的特征。

下面就来介绍一些常用的图表及其制作方法。

1.折线图在专利数据的可视化展示中,我们经常需要使用折线图来展示数据的趋势和变化。

MAX038中文Data_Sheet数据手册

MAX038中文Data_Sheet数据手册
当输出频率偏离Fo时,在引脚FADJ上所需的
电压为Dx(以%表示),用Dx表示V FADJ公式如 下:
V FADJ = -0.0343 x Dx
[5]
其中FADJ引脚的电压V FADJ变化范围为:-2.4V ~+2.4V。
注:虽然I IN正比于基本频率或是中心频率(Fo),
而V FADJ则是以百分比(%)线性相关地偏离Fo, V FADJ向某一方变化,相应于向加或减的方向偏 离。
MAX038
20 V19 OUT 18 GND 17 V+ 16 DV+ 15 DGND 14 SYNC 13 PDI 12 PDO 11 GND
DIP/SO
________________________________________________________________ Maxim Integrated Products
一个内部的闭环放大器迫使I IN流向虚拟地,并 使输入偏置电压小于±2mV。I IN可以用一个电流源 (I IN)或用一个电阻 (RIN)串联所获得的电压(VIN)
来产生。(一个接在REF引脚端和IIN引脚端的电阻 RIN可提供产生I IN的便利方法: I IN= V REF/ R IN。) 当使用串联电阻所产生的电压时,振荡频率计算公 式为:
MAX038采用±5V双电源供电,电压允许变化 ±5%。基本的振荡器是一个交变地以恒流向电容CF 充电和放电的张弛振荡器,可同时产生三角波和方 波(图1)。充放电的电流是由流入IIN端的电流 来控制的,并由加到FADJ和DADJ上的电压调制。 流入IIN端的电流可由2µA变化到750µA,对任一CF
用最少的外部元件而产生低失真正弦波,三角波,
锯齿波,方波(脉冲波)。它的频率输出范围为0.1

Excel guide for data analysis说明书

Excel guide for data analysis说明书

Excel guide for data analysisTo carry out further analysis, you can download the dataset from the Data Deep Dive page or, if you are interested in the Brazilian Agriculture Finance Program and would like the extended smallholder dataset, you can download that from FAQ10.Pivot tables:to identify financiers of companies,or company clients of financiers1.Select the columns (A-K) to highlight the full dataset2.Go to insert > pivot table > new worksheet3.Drag the column headers into the appropriate boxes in the PivotTable Fields box Example 1.Identifying investors in Sinar Mas showing sectorsFilters include:●Type (of finance) → select credit or investment (eg. bond- and share-holding)●Group → select the company of interest (eg. Sinar Mas Group)●Year → select timeframe (eg. 2021)○nb. Credit data exists from 2013 by year up to 2021 (June) while Investment data is the most recent position based on filings in April 2021.Rows include:Bank → can be filteredto only show certainbanks but here itshows all banks thathave invested in SinarMas.Columns include:●Sector → can be filtered to only show certain sectors but here it shows all that Sinar Mashas investment in.Values include:●Sum of AmountUSDmillions → make surethis is set to “sum” and not “count”○nb.To change this, right click on theAmountUSDmillions > Value fieldsettings > summarise by … sumExample 2.Identifying which countries FI’s are financing companies in each forest basin region, and by sectorFilters include:●Type (of finance) → select credit (eg. bond issuance, corporate loan, revolving creditfacility, share issuance)●Year → select timeframe (eg. 2016-2021)○nb. Credit data exists from 2013 by year up to 2021 (June) while Investment data is the most recent position based on filings in April 2021.Rows include:●Country → the country that the FI’s HQ is located●Sector → can be filtered to only show certain sectors but here it shows all.Columns include:●Forest-risk client region → shows Southeast Asia, Latin America or Central & West Africa. Values include:●Sum of AmountUSDmillions → make sure this is set to “sum” and not “count”○nb.To change this, right click on the AmountUSDmillions> Value field settings > summarise by … sum4.Order results by size by selecting the filter button to sort > descending > sort by “sumof AmountUSDmillion”(eg. banks from largest financier to smallest).Creating graphsExample 3.Pie chartsGood for summaries such as global investment by forest-risk basin, or MUFG credit by sector1.Select the data you want to use for the pie chart, there must be 2 variables, eg. Forest riskbasin and Amount USD Millions.2.Click Insert>Insert Pie or Doughnut Chart, and then pick the chart you want.e the toolbar to Add chart elements such as data labels (eg. values orpercentages) or to change coloursExample 4.Bar chart (single)Good for trends by year1.Select the data you want to use for the pie chart, there must be 2 variables, eg. Year andAmount USD Millions.2.Click Insert>Insert Bar chart(eg. 2D column), and then pick the chart you want.e the toolbar to Add chart elements such as data labels (eg. values orpercentages) or to change colours4.If the data displays incorrectly, go to Chart design>Select data>then check if thecorrect data is highlighted for the X and Y axes. If not, you can manually selectthese by adding/removing your own Legend EntryExample 5.Bar chart (multi)-Good for mutli-variable charts such as, top 10 investors globally by sector1.Select the data you want to use for the pie chart, there must be 2 variables, eg. Forest riskbasin and Amount USD Millions.2.Click Insert>Insert Bar Chart (2D stacked bar),and then pick the chart youwant.e the toolbar to Add chart elements such as data labels (eg. values orpercentages) or to change colours4.If you want to show the top 10 investors with the largest on top you need to changethe order from this:To this:Click on the bank/investor names to pull up the Format Axis box and go to Axis options>Axis positions>Categories in reverse order.。

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MINI DIAPHRAGM VACUUM PUMPS AND COMPRESSORS
DATA SHEET E 008
N 85.3 KNE
N 86 KNDC
N 86 KNDCB
Concept
Features
Areas of use
The Mini Diaphragm Vacuum Pumps from KNF are based on a simple principal - an elastic diaphragm, fixed on its edge, moves up and down its central point by means of an eccentric. In this way the medium is transferred using automatic valves.
Ready for assembly
Can operate in any installed position
The Mini Diaphragm Vacuum Pumps offer a high level of performance despite their small size, as well as an excellent price performance ratio. They are required especially in the fields of analysis, medicine and production technology.
IP 00 230/50
65 0.65
PERFORMANCE DATA
Type and Order No.2)
Delivery at atm. pressure
(l/min)1)
N 85.3 KNDC
5
N 85.3 KTDC
5.5
1) Litre at STP
Max. operating pressure (bar g)
Type and Order No.2) N 86 KNE Chemically resistant version N 86 KTE
Pump head Ryton 4)
Ryton 4)
Diaphragm EPDM
PTFE-coated
Valves FPM
FFPM
MODEL CODES AND MATERIALS
Type and Order No.2)
Delivery at atm. pressure
(l/min)1)
N 86 KNDCB
6
N 86 KTDCB
5.5
1) Litre at STP
Max. operating pressure (bar g)
2,4
2.5
Ultimate vacuum (mbar abs.)
PERFORMANCE DATA
Type and Order No.2)
Delivery at atm. pressure
(l/min) 1)
Max. operating pressure (bar g) 3)
0.3
0.3
Ultimate vacuum (mbar abs.)
25
35
MOTOR DATA
DC Motor
12V
24V
Operating current (A)
1.4
0.7
MODEL CODES AND MATERIALS
Type and Order No.2) N 85.3 KNE Chemically resistant version N 85.3 KTE
Vacuum
N 86 KTE atm. Press.
Pressure
Vacuum
N 86 KTDCB atm. Press.
Pressure
Flow capacity l/min (Litre at STP)
Flow capacity l/min (Litre at STP)
N 86 KNDC N 86 KTDC
PERFORMANCE DATA
Type and Order No.2)
Delivery at atm. pressure
(l/min)1)
N 86 KNE
6
N 86 KTE
5.5
1) Litre at STP
Max. operating pressure (bar g)
2.4
2.5
Ultimate vacuum (mbar abs.)
100
160
MOTOR DATA
Protection class
Voltage/Frequencies (V/Hz)
Power P1
(W)
Operating current (A)
IP 00 230/50
60 0.65
VERSION WITH BRUSHLESS DC MOTOR
PERFORMANCE DATA
Pump head Ryton 4)
Ryton 4)
Diaphragm EPDM
PTFE-coated
2) See also „MODEL CODES FOR EASY ORDERING“ 4) Phillips Petroleum, registered trade mark
Dimensions 5) (mm)
Flow capacity l/min (Litre at STP)
Vacuum
N 86 KNE atm. Press.
Pressure
direction of rotation
Vacuum
N 86 KNDCB atm. Press.
Pressure
Flow capacity l/min (Litre at STP)
direction of rotation
Valves CR
FFPM
MODEL CODES AND MATERIALS
Type and Order No.2) N 85.3 KNDC Chemically resistant version N 85.3 KTDC
Pump head Ryton 4)
Vacuum
atm. Press.
10 61
M4 40
Vacuum
N 85.3 KNDC
atm. Press.
49 24.5 48 60 G1/8 18
Flow capacity l/min (Litre at STP)
Flow capacity l/min (Litre at STP)
Vacuum
N 85.3 KNE N 85.3 KTE
N 85.3 KNDC N 85.3 KTDC
PERFORMANCE DATA
Type and Order No.2)
Delivery at atm. pressure
(l/min)1)
N 85.3 KNE
5
N 85.3 KTE
5
1) Litre at STP
The pumps are used for sucking gases, taking samples (even liquids in a vacuum) and evacuating vessels.
The AC models are suited for use in machinery which is permanent or mains-operated. Mini Diaphragm Pumps for portable and stand-alone equipment require DC power supplies.
PERFORMANCE DATA
Type N 85.3 KNE
Delivery (l/min)
{{{{{{{{ 5
N 85.3 KNDC {{{{{{{{ 5
N 86 KNE
{{{{{{{{ 6
N 86 KNDCB {{{{{{{{ 6
N 86 KNDC {{{{{{{{6.5
Vacuum (mbar abs)
atm. Press.
25 {{{{{{{{{{{{{{{{
{ 0.3
Pressure (bar g)
25 {{{{{{{{{{{{{{{{
{ 0.3
100 {{{{{{{{
{{{{{{{{{ 2.4
100 {{{{{{{{
{{{{{{{{{ 2.4
100 {{{{{{{{
{{{{{{{ 1.5
Weight (kg) 1.25 0.72 1.1 0.56 0.58
100
160
MOTOR DATA
DC Motor Operating current a) (A) Operating current b) (A)
12 V 1.1 1.0
24 V 0.65 0.6
a) for Type N 86 KNDCB b) for Type N 86 KTDCB
MODEL CODES AND MATERIALS
The pumps are equipped with the patented stress-optimized structured diaphragm, resulting in a high pneumatic performance, a durable product and compact size. Special valves ensure that the product can cope easily with vapour and condensation.
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