text_html_output_1.png
import matplotlib.pyplot as plt # data visualization library

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

import seaborn as sns # data visualization library

df = pd.read_csv('/kaggle/input/sudan-food-and-agriculture/prices_oct_nov_2022.csv', index_col=0, parse_dates=['Date'])

df.duplicated().sum()

df.isnull().sum()

df.isnull().sum()

df.nunique()

top_10_markets = df['Market'].value_counts().nlargest(10)

plt.xticks(rotation=60)

plt.figure(figsize=(15, 6))
sns.countplot(data=df, x='Pricing')
plt.title('Markets Quantities ')
plt.xlabel('Quantities')
plt.show()