1、 Data Analysis with Excel i About the Tutorial Data Analysis with Excel is a comprehensive tutorial that provides a good insight into the latest and advanced features available in Microsoft Excel. It explains in detail how to perform various data analysis functions using the features available in MS
2、-Excel. The tutorial has plenty of screenshots that explain how to use a particular feature, in a step-by-step manner. Audience This tutorial has been designed for all those readers who depend heavily on MS-Excel to prepare charts, tables, and professional reports that involve complex data. It will
3、help all those readers who use MS-Excel regularly to analyze data. Prerequisites The readers of this tutorial are expected to have a good prior understanding of the basic features available in Microsoft Excel. Copyright & Disclaimer Copyright 2016 by Tutorials Point (I) Pvt. Ltd. All the content and
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6、ou discover any errors on our website or in this tutorial, please notify us at Data Analysis with Excel ii Table of Contents About the Tutorial . i Audience . i Prerequisites . i Copyright & Disclaimer . i Table of Contents . ii DATA ANALYSIS WITH EXCEL . 1 1. Data Analysis Overview . 2 Types of Da
7、ta Analysis . 2 Data Analysis with Excel . 4 2. Data Analysis Process . 5 3. Data Analysis with Excel Overview . 7 4. Working with Range Names . 10 Copying Name using Formula Autocomplete . 11 Range Name Syntax Rules . 11 Creating Range Names . 12 Creating Names for Constants . 15 Managing Names . 1
8、6 Scope of a Name . 18 Deleting Names with Error Values. 20 Editing Names . 21 Applying Names . 24 Using Names in a Formula . 26 Viewing Names in a Workbook . 27 Using Names for Range Intersections . 28 Copying Formulas with Names . 30 5. Tables . 31 Difference between Tables and Ranges . 31 Create
9、Table . 32 Table Name . 35 Managing Names in a Table . 36 Table Headers replacing Column Letters . 38 Propagation of a Formula in a Table . 39 Resize Table . 41 Remove Duplicates . 42 Convert to Range . 45 Table Style Options . 45 Table Styles . 46 Data Analysis with Excel iii 6. Cleaning Data with
10、Text Functions . 48 Removing Unwanted Characters from Text . 48 Extracting Data Values from Text . 50 Formatting Data with Text Functions . 57 7. Cleaning Data Containing Date Values . 59 Date Formats . 59 Converting Dates in Serial Format to Month-Day-Year Format . 60 Converting Dates in Month-Day-
11、Year Format to Serial Format . 61 Obtaining Todays Date . 62 Finding a Workday after Specified Days . 63 Customizing the Definition of a Weekend . 64 Number of Workdays between two given Dates . 65 Extracting Year, Month, Day from Date . 66 Extracting Day of the Week from Date . 67 Obtaining Date fr
12、om Year, Month and Day . 67 Calculating Years, Months and Days between two Dates . 68 8. Working with Time Values . 70 Time Formats . 70 Converting Times in Serial Format to Hour-Minute-Second Format . 71 Converting Times in Hour-Minute-Second Format to Serial Format . 72 Obtaining the Current Time
13、. 73 Obtaining Time from Hour, Minute and Second . 74 Extracting Hour, Minute and Second from Time . 74 Number of hours between Start Time and End Time . 74 9. Conditional Formatting . 75 Highlight Cells Rules . 76 Top / Bottom Rules . 78 Data Bars . 83 Color Scales . 85 Icon Sets . 87 New Rule . 89
14、 Clear Rules . 93 Manage Rules . 94 10. Sorting . 98 Sort by Text . 98 Sort by Numbers . 100 Sort by Dates or Times . 101 Sort by Cell Color . 102 Sort by Font Color . 104 Sort by Cell Icon . 105 Sort by a Custom List . 106 Sort by Rows . 112 Sort by more than one Column or Row . 112 11. Filtering. 115 Filter by Selected Values . 115 Filter by Text . 118 Filter by Date . 119 Data Analysis with Excel iv Filter by Numbers . 121 Filter by Cell Color . 123 Filter by Font Color .
