Statistical Data Analysis in Python
Employer
[no-member:pro]Yuliya[/no-member:pro]Yuliya
Project parameters
Type of cooperationOne-time project
SectionOther / Miscellaneous
Prepaymentwithout prepayment
Payment methodsBank transfer
Acceptance of requestsclosed
Project description
Data should be cleaned of erroneous values
Then you need to do a statistical analysis of the variables.
To begin with, descriptive statistics: calculation of the average value, errors, excess, asymmetry, minimum-maximum, median, fashion, expectation.
Then conduct cluster analysis, regression analysis and
Discriminant analysis is possible. Forecast.
In the process, it is desirable to output graphs, tables, anything that visualizes the results.
Then you need to do a statistical analysis of the variables.
To begin with, descriptive statistics: calculation of the average value, errors, excess, asymmetry, minimum-maximum, median, fashion, expectation.
Then conduct cluster analysis, regression analysis and
Discriminant analysis is possible. Forecast.
In the process, it is desirable to output graphs, tables, anything that visualizes the results.
