Excel20 13 fast data analysis course;
Fast data analysis step 1: Start Excel20 13, as shown in the following table.
Fast Data Analysis Step 2: Select a set of data and the "Quick Analysis" button will appear.
Of course, you can also select the data first, then right-click and select Quick Analysis.
Step 3 of Quick Data Analysis: Click the "Quick Analysis" button, and the options shown in the following figure will appear. There are five tools that can assist rapid analysis, namely format, chart, summary, table and mini-chart.
Step 4 of Fast Data Analysis: Data Column: If Format-Data Column is selected, the effect is shown in the following figure.
Step 5 of Fast Data Analysis: Color Scale: If you select Format-Color Scale, the effect is shown in the following figure.
Step 6 of Fast Data Analysis: Icon Set: If Format-Icon Set is selected, the effect is shown in the following figure.
Step 7 of Fast Data Analysis: Greater than: If you select the format-greater than, the greater than dialog box will open, set the value and format of greater than, and then click OK to see the effect.
Step 8 of Fast Data Analysis: Front 10%: If the format-Front 10% is selected, the effect is shown in the following figure.
Fast Data Analysis Step 9: Chart: Select the corresponding column, then quickly analyze it, select the Chart tab, and select the chart you need. Cluster column chart is shown in the figure below.
Quick data analysis steps 10: Summary: Here you can sum, average, count, summarize percentage, summarize, etc. For example, after selecting data and clicking Summary-Sum, the sum item will be displayed below the selected data.
General steps of spss data analysis SPSS software is mainly used for some statistical analysis and testing of data, and it is used for some basic processing, analysis and statistical testing of data.
So, do you know what steps spss usually takes to analyze data? Generally, the whole system is divided into four steps: importing data-; Basic data processing-"; Data analysis-"; Summarize and draw a conclusion. What is it? Let's have a look!
The steps are as follows:
1. After opening the SPSS software, two interfaces will appear, as shown below.
Figure 1: is the data processing and analysis area, including data view (data processing area) and variable view (data includes editing area of each field).
Figure 2: The analysis result area shows various analysis results.
2. We import data; Select a file in the upper left of the data processing area; Find the imported data and import the data in the corresponding format. Here I take the csv file format as an example.
3. After clicking, the following dialog box will appear. Select the data to be processed, click Open, preprocess the data to be imported as needed, and then click OK.
4. Wait a moment and wait for the data to load.
Figure 1: data view.
Figure 2: It is a variable view. (You can check whether each variable type is correct and modify it as needed. The example here does not need to be modified. )
5, data processing and analysis:
(1), which can realize data processing operation in data and conversion; Statistical analysis is under analysis (frequently used items are in the red box); If drawing is needed, the icon generator is in the drawing.
(2) Before dealing with it, you'd better define your analysis objectives. For example, I just want to know the correlation between movie rankings and movie ratings in sample data. (Refer to the picture to see the correlation coefficient and scatter plot) (Note: try not to change the original data when processing, and you can create a new column)
(3) Then, we set it in binary correlation, and then click OK.
(4) At this time, we can see the relevant data of correlation.
(5) Below, we find a graph. In the submenu, we find the icon generator and click it.
(6) Finally, we can make relevant settings.
Well, this is the complete step of spss data analysis. Have you learned? Let's call it a day. See you next time!
The following hardware models are used in this paper: Lenovo Xiao Xin air15; System version: win10; Software version: spss2 1 version.
Excel20 10 data analysis-univariate solution course needs to analyze data after inputting data in excel, and data analysis-univariate solution also plays an important role in analyzing data. Maybe some friends don't know how to operate data analysis-univariate solution. If you don't know, please come and discuss. Next, I brought you the data analysis tutorial of excel20 10-univariate solution for your reference.
Excel 20 10- univariate solution course for data analysis;
Data Analysis-Univariate Step 1: Set the formula. Enter "=b4-b3" in b5, "=b2*b5*b6" in b7, "=b8*b2" in b9 and "=b7+b9+b2" in b 10. The setting formula is shown in Figure 2 below.
Data Analysis-Univariate Step 2: To realize the display in Figure 2, you can select the table shown in Figure 1, click Formula in the menu, and then select Show Formula. The menu shown in Figure 3.
Data analysis-univariate Step 3: Set univariate solution. First, select the table shown in Figure 4.
Data Analysis-Univariate Step 4: Next, click the data on the menu, select simulation analysis on the function module panel that appears, and then select the following univariate solution. The operation is shown in Figure 5.
Data Analysis-Univariate Step 5: Specific Settings. Fill in the information as shown in Figure 6. Fill in the total tax amount in the target cell "b 10". The target value shall be filled in according to the application requirements, and it is tentatively set as 1000000 yuan. The variable cell is the cell b2 where the tax amount we need is located. After clicking OK,
Data analysis-univariate Step 6: The univariate solution result is shown in Figure 7.
Data analysis-univariate Step 7: With the help of univariate solution method, enterprises can use excel20 10 to quickly evaluate their own tax risks and financial risks, and even make certain decisions according to different situations.