text_plain_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

df1 = pd.read_csv('/kaggle/input/big-data-derby-2022/nyra_start_table.csv')

df1.isna().sum()

ax=sns.barplot(x=list(df1['track_id'].unique()),y=list(df1['track_id'].value_counts()))
for i in ax.containers:
    ax.bar_label(i,)

ax = sns.barplot(x=list(df1['track_id'].unique()), y=list(df1.groupby(['track_id'])['program_number'].nunique()))
for i in ax.containers:
    ax.bar_label(i)