To perform Exploratory Data Analysis in the given data set to understand the operations done on data analysis.
Perform both the types of EDA(i.e.,Between Numerical & Numerical and Between Numerical & Categorial).
Use plots like barplot.boxplot,scatterplot,etc.

 Upload the Dataset provided in Google Colab

 Print the data.Use head(),info(),describe(),tail() functions.

 Use scatterplots(between Numerical values) to display the informations in graphs.

 Use box,barplots(between Numerical and categorial) to display in graphs.

Print the whole page of your operatios done in colab and convert to a pdf.

    import pandas as pd 
    import seaborn as sns
    df = pd.read_csv("FlightInformation.csv")
    print(df)
    
    sns.scatterplot(x = df['Price'], y=df['Total_Stops'])
    
    df.info()
    
    df.describe()
    
    sns.barplot(x = "Price",y="Destination",data=df)
    
    sns.barplot(x = "Price",y="Source",data=df)
    
    Decor=df.loc[:,["Source","Price"]]
    Decor=Decor.groupby(by=["Source"]).sum().sort_values(by="Price")
    sns.barplot(x=Decor.index,y="Price",data=Decor)
    
    Decor=df.loc[:,["Airline","Price"]]
    Decor=Decor.groupby(by=["Airline"]).sum().sort_values(by="Price")
    sns.barplot(x=Decor.index,y="Price",data=Decor)
    
    sns.barplot(x = df['Price'], y=df['Source'],hue = df['Airline'])
    
    df.head()
    
    df.tail()

  Both the types of the Bivariate/Multivariate Analysis is done using the given dataset and graphs are received as outcomes.