$2.$ Tasks

To begin, you need to define a main$($filename$,$ filter$\_$value, type$\_$of$\_$card$)$ function that will

read the dataset and store the transaction records in data and call the below functions to display appropriate

results.

Sample Input:

main$(\text{'}$CreditCard$\_2024\_$Project$2.$csv$\text{'},$ 'Port Lincoln', 'ANZ'$)$

Task $1$: Data Analysis using NumPy Mark: $15$

Answer the following $5$ NumPy related tasks for data analysis. These will require use of NumPy functions and

methods, matrix manipulations, vectorized computations, NumPy statistics, NumPy where function, etc. To

complete this task, write a function called task$1($data$,$ filter$\_$value, type$\_$of$\_$card$),$ where

CITS $2401$

Computer Analysis

and Visualisation

Page $2$ of $6$

data contains all records from the dataset and filter$\_$value is an area name and type$\_$of$\_$card is the

name of the card provider. The function should return a list containing values from the following questions.

Return all results rounded to two decimal points.

Input:

cos$\_$dist, var, median, corr, pca $=$ task$1($data$,$ 'Port Lincoln $\text{'},$ 'ANZ $\text{'})$

output:

$[0\mathrm{.}06,1337142\mathrm{.}45,[5\mathrm{.}75,7\mathrm{.}21],-0\mathrm{.}06,[0\mathrm{.}73,0\mathrm{.}81,0\mathrm{.}7,0\mathrm{.}93,0\mathrm{.}72,...]]$

i$.$ cos$\_$dist: Calculate cosine distance between normal and malicious transactions based on

IP$\_$validity$\_$score.

Formula:

$=1$

$(,)=$

Output:

print$($cos$\_$dist$)=0\mathrm{.}06$

ii$.$ var: Filter transactions based on certain geographical area e$.$g$.$ Port Lincoln and calculate and displ