In this project, we have a set of data related to cyclists, which we intend to analyze, and it should be known that cyclists are very sensitive to air temperature.
for getting knowleg about our dataset Click Here!
The steps of this analysis include the following steps:
- Importing Modules.
- Loading DataSet.
- Missing Value Management.
- Data Exploration.
In the bikes_borrowed.csv file, the information of bicycles rented in a city on that day is stored. The columns of this collection are explained in the table below. This set is downloaded from the file and stored in the df database.
| Group Number | Description |
|---|---|
CNT |
Number of rented bicycles per day |
T1 |
The actual temperature measured that day |
T2 |
The average temperature that cyclists feel |
Humidity |
Air moisture on that day |
Wind_Speed |
Wind speed on that day |
is_weekend |
Is it a non -working day (weekend) |
Season |
Many Season of the Year |
Cloud |
Is the weather cloudy on that day |