Exploratory Data Analysing using Python libraries pandas, NumPy and plotly
Step1: At first, if you do not have a python environment and jupyter notebook then download them and set up the environment. In place of jupyter notebook, google collab can also be used. You can install the used library one by one by typing in the terminal
pip install pandas==1.3.1
pip install numpy
pip install plotly==5.10.0
OR, you can Install all the required libraries in one go. download the requirements.txt file and run
pip install -r requirements.txt
Now, you have completed the environment setup part
Step2: Download the file named "benezDataReport.ipynb" and place the dataset that is "2022_02_08-02_30_31_AM.csv" in the same folder. Launch jupyter notebook and open the "benezDataReport.ipynb" file. You will get this type of interface shown in below image:
In the upside menu bar, you will get a Kernal. Click on that. Some options will be popped up, click on "Restart & Run All". You will get a popup message, click "Restart and Run all Cells". Now automatically all the visualizations and analyses will be done. Scroll down and check all the given work.
Thank you.