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!pip install jovian --upgrade --quiet
!pip install numpy seaborn pandas matplotlib
Requirement already satisfied: numpy in /srv/conda/envs/notebook/lib/python3.8/site-packages (1.19.1) Requirement already satisfied: seaborn in /srv/conda/envs/notebook/lib/python3.8/site-packages (0.10.1) Requirement already satisfied: pandas in /srv/conda/envs/notebook/lib/python3.8/site-packages (1.1.2) Requirement already satisfied: matplotlib in /srv/conda/envs/notebook/lib/python3.8/site-packages (3.3.0) Requirement already satisfied: scipy>=1.0.1 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from seaborn) (1.5.2) Requirement already satisfied: pytz>=2017.2 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from pandas) (2020.1) Requirement already satisfied: python-dateutil>=2.7.3 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from pandas) (2.8.1) Requirement already satisfied: kiwisolver>=1.0.1 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from matplotlib) (1.2.0) Requirement already satisfied: cycler>=0.10 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from matplotlib) (0.10.0) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from matplotlib) (2.4.7) Requirement already satisfied: pillow>=6.2.0 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from matplotlib) (7.2.0) Requirement already satisfied: six>=1.5 in /srv/conda/envs/notebook/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas) (1.15.0)
#we import the relevant packages.

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import jovian
%matplotlib inline
jovian.commit()

[jovian] Attempting to save notebook.. [jovian] Please enter your API key ( from https://jovian.ml/ ): API KEY: ········ [jovian] Uploading notebook.. [jovian] Capturing environment.. [jovian] Committed successfully! https://jovian.ml/aanchalsaini0007/zerotopandas-course-project-starter-adc67

TODO - Explore one or more columns by plotting a graph below, and add some explanation about it