Data analysis and processing: Refers to operations such as sorting, filtering, sorting and summarizing tables.
There are a lot of pictures in the article. If you think the picture is too small, you can click on the picture and the picture will be enlarged.
1. Data List
1. Add a record to the data list
2. Delete a data list and add a record
3. Find a record in the data list
The first step: the original table, data analysis operations on the data are all under the data tab.
Step 2: Open the record sheet and add data to the worksheet
Step 3: Click New to add data
Step 4: After inputting, click close
In the record sheet, you can click the previous one, the next one to search, and you can click delete to delete
Search function
Step 1: Open the record sheet and click on conditions
Step 2: Enter the search content, click the previous one, and the next one to view the result
2. Data sorting
1. Sort by single condition
2. Sort
by multiple conditions 3. Sort by stroke
4. Custom sort
1. Single condition sort
The first step: If we sort by the basic salary, click any cell of the basic salary
Step 2: Data tab, click Sort, there are ascending or descending buttons next to sort
result
2. Multi-condition sorting
Step 1: Data tab, click the sort button
Step 2: Click Add Condition, etc. to add secondary conditions.
result
3. Sort by stroke or pinyin
Step 1: Under the Data tab, click Sort
Step 2: Click the option and select the stroke
Step 3: Sort the strokes of names
As a result, the result shows that the first character strokes are sorted first
4. Custom sorting
Step 1: In sorting, select custom sorting in order
The second step:
The third step: box select the area to be sorted, do not box select the field, the result is as follows
3. Data screening
1. Auto filter
2. Search filter
3. Custom filter
4. Advanced filter
1. Automatic filtering
Step 1: Data tab, click on automatic filtering, and then a drop-down arrow will appear in the data field
Step 2: Click the gender drop-down and select male.
Result: The ones that meet the conditions will be displayed, and those that do not meet the conditions will be hidden.
2. Search and filter
When the amount of table data is relatively large
Step 1: Data tab, automatic filtering
Step 2: Select a data automatically, input text
directly I directly input master
Result: If automatic filtering is used, if there is too much data in the table, it is difficult to find what you want, such as master.
3. Custom filter
As shown in the figure, you can filter by number, color, etc.
4. Advanced filtering The
previous filtering is single field filtering.
Here is an explanation of multi-field filtering
Step 1: Write the screening criteria next to the form.
As shown in the figure, I wrote gender, age, and education. The first line is the field, and the following is the condition. If the conditions are on one line, it means that the conditions are AND relationships, and if they are not on a line, it means that the conditions are OR relationships.
The figure is and the relationship
Step 2: Data tab, advanced filtering. If the advanced filter is not displayed, please use the search function.
Or start tab, filter, advanced filter
The third step: The filter area is the column of the original table field, and the condition area is the area where the gender, age, and education level added in the first step. The mode can be displayed on the original table and can be copied to other tables.
result:
4. Classification and summary of data
1. Create a hierarchical display
2. Create a simple subtotal
3. Multi-level subtotals
4. Create a nested subtotal
1. Create a hierarchical display The
original table is as follows:
The first step: select the area data tab, create a group
My selected row
Result: 12 appears on the left, click-to hide, + to show
All the lines I selected are hidden
If you select some rows, the
hidden data is shown below, the data is less than the original
Click 12 on the left to see different levels of information, you can add more groups, 3.
2. Create a simple subtotal. The
first step: select data area plus fields, data tab, subtotal
Step 2: Parameter setting, select product in my category field, sum up the summation method, and unit price of the summation item
result:
Click on the left 123
1
2
3
3. Multi-level sub-summarization
On the basis of the previous article, box-
select the area again, this time choose not to replace the current summary
result
Cancel subtotals
Click subtotals, select delete all
4. Create nested subtotals
Nested subtotals means that the two summaries are not for the same field.
Example
First summary: for sale date, sum, unit price
The second summary is for product, sum, unit price
5. Consolidated calculation of data
Consolidation calculation can combine multiple tables into one table
1. Combine calculation by location
2. Combine calculation by classification
1. Consolidate calculation according to the position. The
original table has 3 sales tables of one style as
shown in the figure, and a quarterly empty table . The positions of the tables in the figure correspond to each other.
The first step: select a cell in the quarter table, data tab, data tab, combined calculation
Step 2: Select the data of 123 months by reference location and add it to the reference location. Because we already have a label in the general table, you don’t need to tick the first row of the dart flag
Result: summary table data
2. Combine calculation
according to classification. Combine calculation according to classification. Fields need to be identified. The field position of each table can be different, but the data fields must be the same
The tables are as follows:
Step 1: Select the total table area A2: B7
Step 2: Click the Data tab to combine calculations
Step 3: Select the reference area A2: B7
result
Six. Conditional format
Conditional format, through the conditional format, some eligible data are highlighted
1. Set the conditional format according to the feature
2. Built-in cell graphics effect
3. Customize the conditional format
1. Set conditional format according to characteristics
The first step: select the area, start the selection card, the conditional format highlights the cell
Step 2: I choose between
Result:
Can be set multiple times
Ctil+Z cancel
Item selection rules, highlight the top 10 items in the data or above the average.
Above average result
2. Built-in cell graphic effects. In the
conditional format, data bars, color levels, and icon sets can highlight the data that meet the conditions
Data bar: the larger the value, the longer the data bar length
Color scale:
Icon set
7. Data validity
Data validity: It can prevent us from entering data that does not conform to the format. It's a bit like key constraints in a database.
You can set the integer decimal type, sequence type, time and date type, long data information, and set prompt information.
The first step: select area, data tab, data validity
Step 2: Parameter setting, the allowable value is set to an integer, between 0-30
result:
Setting parameters, etc.
Custom validity
1 uniqueness
2Sequence The
input data can only be derived from the sequence, and input other content will report an error
Input information prompt
Error warning
Circle invalid data.
Validity is generally entered before data entry. If the data is entered first, we can circle invalid data and circle the wrong data.
Step 1: The data has been entered.
Step 2: Set the validity
Step 3: Circle the wrong data
8. Import external data
Other types of data can be imported into the table file
You can import text files,
access file data, and
web page data
The first step: Data tab, import external data
The second step:
The new computer in electrical engineering: Yu Dengwu. Writing blog posts is not easy. If you think this article is useful to you, please give me a thumbs up and support, thank you.
