import jovian

import pandas as pd
pd.plotting.register_matplotlib_converters()
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns

# Path of the file to read
fifa_filepath = "data/fifa.csv"

# Read the file into a variable fifa_data
fifa_data = pd.read_csv(fifa_filepath, index_col="Date", parse_dates=True)

fifa_data.head()

# Set the width and height of the figure
plt.figure(figsize=(16,6))

# Line chart showing how FIFA rankings evolved over time
sns.lineplot(data=fifa_data)

##################### exercise
# Path of the file to read
spotify_filepath = "data/spotify.csv"

# Read the file into a variable spotify_data
spotify_data = pd.read_csv(spotify_filepath, index_col="Date", parse_dates=True)
spotify_data.head()

# Path of the file to read
museum_filepath = "data/museum_visitors.csv"

# Fill in the line below to read the file into a variable museum_data
museum_data = pd.read_csv(museum_filepath, index_col="Date", parse_dates=True)
museum_data.head()