เพ มภาพตามเน อหาของแต ละบท. Microsoft Excel Benjamas Panyangam and Dr. Dussadee Praserttitipong. Adapted in English by Prakarn Unachak
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1 เพ มภาพตามเน อหาของแต ละบท Microsoft Excel 2016 Benjamas Panyangam and Dr. Dussadee Praserttitipong Adapted in English by Prakarn Unachak IT AND MODERN LIFE
2 1. Excel Basics 2. Calculation and Formula 3. Charts 4. Other Spreadsheet Works on Excel IT AND MODERN LIFE
3 4. Other Spreadsheet Works on Excel 1) Sorting 2) Filtering 3) Basic Data Analysis Preparing Tools for Data Analysis Analyzing Frequency of the Data Using Descriptive Statistics 4) Conditional Formatting The following files are used in this slide. Grading Example: Survey Example: IT AND MODERN LIFE 3
4 4.1 Sorting We ll use the following score data as an example We want to sort the data, first by Grade (Smallest (A) to Largest (B)), and if grades are equal, we then sort by Score (Largest (100) to Smallest (0)) We need to sort by 2 conditions, in this order: 1) Sort by Grade, from smallest to largest 2) Then by Score, from largest to smallest IT AND MODERN LIFE 4
5 4.1 Sorting Steps in Sorting (1) Select the data range to be sorted By drag the mouse to cover the range of the data OR just click select column A, B and C OR Click cell A1, press 1. Ctrl-Shift- 2. Then Ctrl-Shift- This should select the entire block of data IT AND MODERN LIFE 5
6 4.1 Sorting Steps in Sorting (cont.) (2) Under Data tab Sort & Filter group, click Sort Sort by first column, from smallest to largest Sort by first column, from largest to smallest Define how you want to sort IT AND MODERN LIFE 6
7 Steps in Sorting (cont.) Add extra column for tie-breaking 4.1 Sorting (3) Select the column to be consider first (Sort by) Sorting by Your Own Conditions Remove a column from sorting conditions Select main column for sorting conditions Select how to sort In case the first row contains headers (3.1) Sort By: We will set the main column to be Grade (3.2) Order: We will sort from Smallest grade (A) to Largest grade (F) 7
8 Steps in Sorting (cont.) 4.1 Sorting Sorting by Your Own Conditions (4) Click Add Level to define secondary (tie-breaking) column (Then by) (5) Click OK (4.1) Then By: We will set the main column to be Score (4.2) Order: We will sort the rows with equal grade from Largest to Smallest 8
9 The Result 4.1 Sorting We want to sort the data, first by Grade (Smallest (A) to Largest (B)), and if grades are equal, we then sort by Score (Largest (100) to Smallest (0)) IT AND MODERN LIFE 9
10 4.2 Filtering Filtering is limiting rows to be displayed to only those that match a certain condition We filter the data to only show the rows with grade B IT AND MODERN LIFE 10
11 1) Using Filtering 4.2 Filtering Under Data tab, select Filter command Filter (and sorting) tools will appear IT AND MODERN LIFE 11
12 4.2 Filtering 2) Example: Filter the rows to only those with grade B (1) Click the button at Grade header (Cell C1) (2) Check Only Grade B (3) Click OK IT AND MODERN LIFE 12
13 4.2 Filtering 3) 3 Ways to cancel filtering (1) Under Data tab Sort & Filter group, click Clear OR (2) Click Clear Filter From Grade OR (3) Check at (Select All), then click OK IT AND MODERN LIFE 13
14 4.2 Filtering 4) Example of using number filters to show only rows with score from 61 to 69. (1) Click button at Score header (Cell B1) (2) Click Number Filters (3) Click Between IT AND MODERN LIFE 14
15 4.2 Filtering 4) Example of using number filters (cont.) (3) Specify the conditions The Result (4) Click OK IT AND MODERN LIFE 15
16 Preparing Analysis ToolPak for Data Analysis in Excel Under File tab select Options to activate the add-ins. 4.3 Basic Data Analysis (2) Select Analysis ToolPak (1) Add-Ins (3) Click Go IT AND MODERN LIFE 16
17 4.3 Basic Data Analysis Preparing Analysis ToolPak for Data Analysis in Excel (cont.) (4) Check at Analysis ToolPak (5) Click OK Under Data tab, Data Analysis command will appear IT AND MODERN LIFE 17
18 4.3.1 Frequency Analysis with Histogram 1) Example of frequency analysis from survey response data Survey Example Gender Age Range (1-3) 1-20 yr yr yr. Computer Proficiency (1-5) Need improve in all area Need improve in some area Adequate Good Very Good (1) Preparing data in Excel Gender data is in the range of 1-2 Age data is in the range of 1-3 Proficiency data is in the range of 1-5 Response data from 5 respondents IT AND MODERN LIFE 18
19 4.3.1 Frequency Analysis with Histogram 1) Example of frequency analysis from survey response data (cont.) (2) Under Data tab, click Data Analysis (4) The click OK Histogram dialog will appear (3) Click Histogram IT AND MODERN LIFE 19
20 4.3.1 Frequency Analysis with Histogram 1) Example of frequency analysis from survey response data (cont.) (5) Set the data range to C5:C10 (10) Click OK (6) Set the Bin Range to Age possible values in cells A2 to D2 (7) Indicate that there is a label (at cell C5) (8) Set the starting cell to display the frequency and the histogram to cell H2 (9) Check to display the histogram IT AND MODERN LIFE 20
21 4.3.1 Frequency Analysis with Histogram 1) Example of frequency analysis from survey response data (cont.) the Result From the range of Age data (1-3), the frequency we get 5 responses are: Age Number of Responses 1 (1-20 yr.) 1 2 (21-30 yr.) 3 3 (31-60 yr.) IT AND MODERN LIFE 21
22 4.3.1 Frequency Analysis with Histogram Example of Frequency Analysis and Histogram on Proficiency data proficiency proficiency Frequency Analysis on Proficiency proficiency proficiency IT AND MODERN LIFE 22
23 4.3.1 Frequency Analysis with Histogram 2) Example of Frequency Analysis on score data in cells B2 to B71 The result will be on Score_Histogram worksheet IT AND MODERN LIFE 23
24 4.3.1 Frequency Analysis with Histogram 2) Example of Frequency Analysis on score data in cells B2 to B71 (cont.) You can format the From 70 Score data entries chart as you see fit. We get the following frequency data of specified ranges: 49 8 entries 49 and entries 66 and entries entries IT AND MODERN LIFE 24
25 4.3.2 Data Analysis Using Descriptive Statistics Descriptive Statistics is a set of statistics values used to describe or summary data of interest Examples of statistics calculated by descriptive statistics Percentage Arithmetic mean (average) Standard deviation Variance IT AND MODERN LIFE 25
26 4.3.2 Data Analysis Using Descriptive Statistics Example: Preparing Descriptive Statistic for Score Data (1) Select Data (2) Under Data tab, click Data Analysis (4) Click OK (3) Select Descriptive Statistics IT AND MODERN LIFE 26
27 4.3.2 Data Analysis Using Descriptive Statistics Example: Preparing Descriptive Statistic for Score Data (cont.) (5) Define Input Range (10) Click OK (6) Specify data in Column (7) Specify that the first row is the label (8) Display result starting at cell E2 (9) Check to display summary statistics IT AND MODERN LIFE 27
28 4.3.2 Data Analysis Using Descriptive Statistics Example: Preparing Descriptive Statistic for Score Data (cont.) The Result IT AND MODERN LIFE 28
29 4.4 Conditional Formatting You can use conditional formatting so that the cell will be formatted only when certain conditions are met. Set cell text to red if the cell value is less than 50 Set cell fill color to blue and text to white if the cell value is A (Advance) Set cell fill color to grey if cell is on odd row IT AND MODERN LIFE 29
30 4.4 Conditional Formatting Steps in Conditional Formatting 1. Select cells you want to apply conditional formatting to. 2. Go to Home tab Styles group Conditional Formatting. 3. Select type of formatting you want. 4. Fill in threshold values, if needed IT AND MODERN LIFE 30
31 4.4 Conditional Formatting Types of Conditional Formatting Highlight certain cells Highlight cells rules Highlight if condition is met. Top/bottom rules (top 10% percentile, for example) Highlight cells in group/range Data bar Color scale Icon sets IT AND MODERN LIFE 31
32 4.4 Conditional Formatting Highlight Cells Rules IT AND MODERN LIFE 32
33 Data Bar 4.4 Conditional Formatting Select cells, then select the type of data bar you want IT AND MODERN LIFE 33
34 4.4 Conditional Formatting Example: Highlight score cell with score less than IT AND MODERN LIFE 34
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