You must demonstrate following $5$ matplotlib related skills for data visualisation. To complete this task, write a

function called task$4($data$),$ where data contains all records from the dataset. The function should display

the following plots. The presentation of the visualisations $($e$.$g$.,$ customising labels, points etc.$)$ will determine

your fluency in data visualisation skills.

i$.$ Plot Amount values using bar plot for transactions where IP$\_$validity$\_$score is below $2$ and

Authentication$\_$score is below $1\mathrm{.}5.$ Use different colours for normal and malicious

transactions.

ii$.$ Extract data from malicious transactions for different Type$\_$of$\_$card separately and display their

total Amount using a pie plot. Number of different Type$\_$of$\_$card will vary.iii. Extract data from all transactions for different Entry$\_$mode separately and display the

IP$\_$validity$\_$score values using a boxplot. Number of different Entry$\_$mode will vary.

iv$.$ Create a N X $2$ matrix where N is number of transactions in the dataset, $2$ is the index for

Authentication$\_$score and IP$\_$validity$\_$score values. Plot the matrix using scatter plot.

v$.$ Create a colour code using the values in the matrix created in QV $$ Task $1($pca$).$ Plot

Authentication$\_$score values where values are over $8$ as a bar plot using the corresponding

colour codes. $[$You can use the rounded value of pca to create the colours$].$