Receipt example

atb
18.07.2023 18:23:33
243.71
=
молоко
батон
морозиво
=
image=image_name_of_receipt_example_atb.26.09.2022.15.29.32.jpg
category=лікування

First 3 lines is required,
all next, from line separetion(symbol =), is optional.

Image of receipt must be saved to project_directory/receipts_images directory.
The best image name is: shop_name.date.time, like in example above.

To link the photo and the check together, write keyword image=
and write name of the photo(example above).

For add category to the check, write keyword category=
and write category name as in example above.

Install

Run script ./install.bash with sudo to see
steps + create simlynk + shell completion(bash/zsh).

• Add to yout shell config file:
  "SPENDING_INSTALL=path_to_this_directory"
• Then add "export PATH=$PATH:$SPENDING_INSTALL"
• Save and reload config file.
• Now you have 'spending' application.

Service web server Node.js

You can run web server as systemd service.
The service file is spending.service

Commands for use service

web_server_start - start web server as service web_server_stop - stop web server as service

systemctl commands

• Make systemd aware of the new service: sudo systemctl daemon-reload
• Make the service start on boot: sudo systemctl enable spending
• Start it with: systemctl start spending
• See logs with: journalctl -u spending

Usage

See usage

Additional functions

Validation

• store name
• date and time
• price
• chunk delimeter

Run only from this project directory

show_last_n_days.bash - Show last added
receipts n days ago

Use R programming language

Show list of installed libraries: installed.packages()
Install dplyr library use: install.packages("tidyverse") in R REPL.
Description of library: https://cran.r-project.org/web/packages/dplyr/vignettes/base.html Example of graph: https://r-graph-gallery.com/37-barplot-with-number-of-observation.html Example of R code: https://github.com/PacktPublishing/R-Programming-By-Example/blob/master/Chapter03/vectorized_vs_unvectorized.R

• price min mean max values for all period
• price min mean max values for all each month in selected year
• count for each month hom much time go to shop(spend money) and total in selected year
• count what shop is most visited
• what category of stuff most buy // after all receipts have category // check for this condition
• price count range for each month in selected year
• for each shop count min max mean of price for each month and total in selected year

Statistics description(how to understand)

Frequency table

Frequency means the number of times a value
appears in the data. A table can quickly show us
how many times each value appears.

Relative frequency table

Relative frequency means the number of times a
value appears in the data compared to the total
amount. A percentage is a relative frequency.

Cumulative frequency table

Cumulative frequency counts up to a particular
value.

Mean

The mean is usually referred to as 'the average'.

Median

The median is the middle value in a data set
ordered from low to high.

Range

The range is the difference between the smallest
and the largest value of the data.
Range is the simplest measure of variation.