Your aim is to create two data visualisation dashboards that can be viewed by the marking tutors through

a web browser: one using Tableau Public and one using Power BI$.$

Make sure that each dashboard includes your name, student ID$,$ and student group.

Reproduce the analysis that you have performed when solving task $4$P$,$ i$.$e$.,$ of the nycflights$13\_$weather.csv$.$gz $($manually decompress the file first$)$ dataset, which gives the hourly

meteorological data for three airports in New York: LGA, JFK$,$ and EWR for the whole year of $2013.$

This includes:

$1.$ Converting all columns so that they use metric $($International System of Units, SI$)$ or derived units

$($replace old or add new columns$).$

All data transformations must be done using PowerBI and Tableau! Do not pre$-$process

the datasets in pandas.

$2.$ Computing daily mean wind speeds for the LGA airport.

$3.$ Presenting the daily mean wind speeds at LGA on a plot $($a line graph, whatever is more readable$).$

$4.$ Identify the $10$ windiest days at LGA. Present them in a table $($dates and the corresponding total

precipitation$).$

$5.$ Visualise the monthly mean wind speeds at the three airports $($on a single plot$).$