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Project title: Statistical Data Analysis in Python
Type of cooperation: One-time project
Section: Other / Miscellaneous
Prepayment: without prepayment
Payment methods: Bank transfer
Acceptance of requests: closed
Type of cooperation: One-time project
Section: Other / Miscellaneous
Prepayment: without prepayment
Payment methods: Bank transfer
Acceptance of requests: closed
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.
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.
