The file OECD.csv contains information about the gross domestic prod.pdf

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The file OECD.csv contains information about the gross domestic product (GDP) per capita for different countries belonging to the OECD. The table shows the current GDP per capita from 1991 to 2021 of each country. (Data from: https://data.oecd.org/gdp/gross-domestic-product- gdp.htm#indicator-chart) Task1 Import the pandas module. Load the data from OECD.csv into a Pandas dataframe called as "OECD". The country name should show up as the row labels. Display the dataframe contents, summary of columns, and basic statistical description of the data. In [95]: Task2 Run the below cell first which randomly selects a 10 year span. In a new cell, sort the data by the current GDP per capita. Then plot a horizontal bar chart of the current GDP for each country. In [ ]: In [98]: Task3 Compute the difference between GDP per capita for the 10 year interval. Place this data as a new column in the same dataframe. Sort the dataframe by the GDP growth and display the contents. Which country has the highest growth in GDP per capita? Which had the smallest? In [ ]: Task4 Create a dataframe that contains a subset of the countries that had negative growth of their GDP per capita. You should use Pandas comparisons and selection operators. Display the resulting dataframe contents. In [99]: Task5 Compute the Pearson correlation index between the GDP in 2012 and in 2022. Are the columns correlated? If so, how (weakly, strongly, etc.)?.

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