Ingest and manipulate the data using pandas dataframes. Your program should

include a function which takes a filename as argument, reads a dataframe in World$-$

bank format and returns two dataframes: one with years as columns and one with

countries as columns. Do not forget to clean the transposed dataframe.

$$ Explore the statistical properties of a few indicators, that are of interest to you, and

cross$-$compare between individual countries $($you do not have to do all the countries,

just a select few will do$)$ and produce appropriate summary statistics. You can also

use aggregated data for regions and other categories. You are expected to use the

$.$describe$()$ method to explore your data and two other statistical methods.

$$ Explore and understand any correlations $($or lack of$)$ between indicators $($e$.$g$.$ popu$-$

lation growth and energy consumption$).$ Does this vary between country, have any

correlations or trends changed with time?

$$ You are expected to use your initiative and $$tell a story$$ with the data. You should

use appropriate visualisation $($hint: time series could be useful$)$ and provide a text

narrative to communicate and explain your findings. Details of the implementation

and the coding do not belong in such a report. Your boss wants to see results and

interpretation. What are the key findings?

$$ You will be assessed on the overall quality of the report, good use of visualisation

tools and good use of the methods and tools available for dataframes. See mark

scheme for details. Good reports often combine information from graphs to draw

conclusions or follow up on insights$/$questions from one graph with another graph.