Overview

1/ Project Objective:

Develop a visualization dashboard based on a series of credit card payment data about my spending habits from Oct 2020 to Oct 2021.

2/ Data Collection Methods:

Using my credit card company’s statements, I could collect my data. Using R (such as lubridate::floor_date function), I transformed the data sets that has unwanted rows and columns. After all, there are three data points remained: 1) Transaction Date 2) Category, and 3) Amount. Then I add one more column where it shows each month between Oct 2020 and Oct 2021.

3/ The 5 Big Questions:

  1. How often do I use my credit card each month?
  2. Which category did I spend the most?
  3. Does transactions (month-year) predict amount?
  4. Compare shopping and groceries expenses, is there any interesting pattern?
  5. How was my spending habit in each category? Any interesting relationship?

Question 1

Column

Table

Month

Question 2

Column

Chart

Question 3

Column

Date

Question 4

Column

Grocery

Shopping

Question 5

Column

Spending Habit