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from pymongo import MongoClient

import pandas as pd

import seaborn as sns

import matplotlib.pyplot as plt

# Connect to MongoDB Atlas

connection_string = "mongodb+srv://<username>:<password>@<cluster-address>/test?retryWrites=true&w=majority"

client = MongoClient(connection_string)

# Access the "movies" collection in the "sample_mflix" database

db = client['sample_mflix']

collection = db['movies']

# Retrieve the data from MongoDB

documents = collection.find({})

# Convert MongoDB documents to a pandas DataFrame

df = pd.DataFrame(list(documents))

# Perform any necessary data cleaning and transformation here

# For example, you might need to handle missing values, convert data types, etc.

# Use Seaborn to create visualizations

sns.scatterplot(data=df, x='year', y='imdb.rating')

# Customize the plot as desired

# For example, you can add labels, titles, change the color palette, etc.

# Show the plot

plt.show()