Learn practical skills, build real-world projects, and advance your career
Created 5 years ago
Data for the month of May 2019
Exploratory Data Analysis and perdiction using simple sklearn models are being done
Various Libraries are being imported such as Numpy, Pandas, Matplotlib and Seaborn to extract statistical parameters
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
sns.set
<function seaborn.rcmod.set(context='notebook', style='darkgrid', palette='deep', font='sans-serif', font_scale=1, color_codes=True, rc=None)>
.JSOLN files are being imported from the system
df_1 = pd.read_json('2019-05-01.jsonl', lines = True)
df_2 = pd.read_json('2019-05-02.jsonl', lines = True)
df_3 = pd.read_json('2019-05-03.jsonl', lines = True)
df_4 = pd.read_json('2019-05-04.jsonl', lines = True)
df_5 = pd.read_json('2019-05-05.jsonl', lines = True)
df_6 = pd.read_json('2019-05-06.jsonl', lines = True)
df_7 = pd.read_json('2019-05-07.jsonl', lines = True)
df_8 = pd.read_json('2019-05-08.jsonl', lines = True)
df_9 = pd.read_json('2019-05-09.jsonl', lines = True)
df_10 = pd.read_json('2019-05-10.jsonl', lines = True)
df_11 = pd.read_json('2019-05-11.jsonl', lines = True)
df_12 = pd.read_json('2019-05-12.jsonl', lines = True)
df_13 = pd.read_json('2019-05-13.jsonl', lines = True)
df_14 = pd.read_json('2019-05-14.jsonl', lines = True)
df_15 = pd.read_json('2019-05-15.jsonl', lines = True)
df_16 = pd.read_json('2019-05-16.jsonl', lines = True)
df_17 = pd.read_json('2019-05-17.jsonl', lines = True)
df_18 = pd.read_json('2019-05-18.jsonl', lines = True)
df_19 = pd.read_json('2019-05-19.jsonl', lines = True)
df_20 = pd.read_json('2019-05-20.jsonl', lines = True)
df_21 = pd.read_json('2019-05-21.jsonl', lines = True)
df_22 = pd.read_json('2019-05-22.jsonl', lines = True)
df_23 = pd.read_json('2019-05-23.jsonl', lines = True)
df_24 = pd.read_json('2019-05-24.jsonl', lines = True)
df_25 = pd.read_json('2019-05-25.jsonl', lines = True)
df_26 = pd.read_json('2019-05-26.jsonl', lines = True)
df_27 = pd.read_json('2019-05-27.jsonl', lines = True)
df_28 = pd.read_json('2019-05-28.jsonl', lines = True)
df_29 = pd.read_json('2019-05-29.jsonl', lines = True)
df_30 = pd.read_json('2019-05-30.jsonl', lines = True)
df_31 = pd.read_json('2019-05-31.jsonl', lines = True)