In the framework of the project, the following tasks were completed:
1 . From the site of the State Property Fund, statistical data on the subjects of the assessment activity in the field of real estate were downloaded and aggregated in CSV format.
The 2nd The data was analyzed using the Python Pandas library in a number of cuts - by region, by months, by TOP SODs, etc.
3 . A telephone call was made to the top of the subjects of the assessment activity with the aim of determining the prices of services and the deadlines for the performance of services.
and 4. The data received was visualized in the form of tables and graphs.
1 . From the site of the State Property Fund, statistical data on the subjects of the assessment activity in the field of real estate were downloaded and aggregated in CSV format.
The 2nd The data was analyzed using the Python Pandas library in a number of cuts - by region, by months, by TOP SODs, etc.
3 . A telephone call was made to the top of the subjects of the assessment activity with the aim of determining the prices of services and the deadlines for the performance of services.
and 4. The data received was visualized in the form of tables and graphs.