[scientific research data processing] [practice] frequency analysis chart of category variables, distribution chart of numerical variables and normality test (including lognormal)

0 Data sets

Take the personnel income and consumption data as an example

1 Frequency analysis of category variables

1.1 Category variable frequency table

For example, the source of personnel in the statistical data , Yes “ source ” Variable to plot the frequency table .
Operation steps ：【 analysis 】→【 Describe statistics 】→【 frequency 】

Then drag the variable to be processed into “ Variable ” window , Click... After verification 【 determine 】 Button （ The display frequency table is checked by default in the window , If it is not checked, you can manually check it and click 【 determine 】 Button ）

The results are as follows . The first table is the statistics of missing value information , The second variable is the frequency table of category variables , The first column shows the frequency , The second column shows the proportion of each category , The third column is the effective proportion （ Because there is no missing value , So the second column is consistent with the third column ）, The last column is the cumulative percentage .

1.2 Pareto Diagram

There are a large number of categories in the highest education variables in the data , It is suitable to use Pareto Diagram for analysis and display .
Operation steps ：【 analysis 】→【 Quality control