https://github.com/gowhale/daily-spend-analysis

Python script to analyse spending habits.
https://github.com/gowhale/daily-spend-analysis

data-visualization pandas python

Last synced: about 10 hours ago
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Python script to analyse spending habits.

• Host: GitHub
• URL: https://github.com/gowhale/daily-spend-analysis
• Owner: gowhale
• Created: 2021-07-02T08:44:51.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-07-02T10:39:05.000Z (over 3 years ago)
• Last Synced: 2024-04-17T17:12:03.468Z (7 months ago)
• Topics: data-visualization, pandas, python
• Language: Python
• Homepage:
• Size: 9.77 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# daily-spend-analysis

The aim of this script is to process a CSV of transactions, and output a graph and a value for the CSV's daily spending average.

## Source Data

This script takes in a CSV called "data.csv" and it has the following headings:

    Transaction ID,Date,Time,Type,Name,Emoji,Category,Amount,Currency,Local amount,Local currency,Notes and #tags,Address,Receipt,Description,Category split,Money Out,Money In

    

## Process

The following steps are taken to process the data:

1. Date variables are entered to specify wanted date range

2. CSV is loaded into dataframe

3. dataframe is trimmed to be between wanted dates

4. unwanted transactions taken from "unwanted_transactions.txt" are removed from the dataframe

5. A daily expenses is created and saved to .csv

6. Daily expenses dataframe is visualised on a graph

7. Avarage daily spend is printed to terminal

## Example Graph Output 

This script generates an interactive graph which looks like this:



## Example Terminal Output

    The average daily spend between 25/06/2021 and 01/07/2021 is £23.09

    

## Requirements

This script was last executed using Pyhton 3.8.5 and requires pandas and plotly modules. Use the following command to install needed modules:

    pip3 install -r requirements.txt