sales_analysis: web application to view sales data

What is it?

sales_analysis is a lightweight tool for viewig sales data in web browser. Note: The input data must be in the same format, as the .csv files in sales_analysis/data_pipeline/data

Where to get it?

The package can be installed by running

pip install sales_analysis

Dependancies

• Pandas
• Flask
• pytest

License

BSD 3

How to run the app

After successfully installing sales_analysis. The app may be run without any modification to sales_analysis/data_pipeline/data. However, this will execute the sample data provided. In order to change the default behaviour, the data in sales_analysis/data_pipeline/data must be replaced with new data. Note: It is imperative that this folder contains data formatted in the same way as provided.

Once the data has been imported, then follow the steps below.

1. Open a terminal and enter python to launch an interactive python session.

> python
Python 3.7.7 (default, Mar 23 2020, 16:19:08) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>>

2. Then enter the following

>>> from sales_analysis import sales_app
>>> app.run()

This will output the following.

* Serving Flask app "sales_analysis" (lazy loading)
* Environment: production
  WARNING: This is a development server. Do not use it in a production deployment.
  Use a production WSGI server instead.
* Debug mode: off
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)

3. Then copy and paste http://127.0.0.1:5000/ into a browser. The default page will return the message below

Not Found

The requested URL was not found on the server. If you entered the URL manually please check your spelling and try again.

4. Add a valid date to the url. For example, add 2019-08-02 to the url i.e. http://127.0.0.1:5000/2019-08-02. This will output the following in the browser.

{"customers":10.0,
 "discount_rate_avg":0.12950211356271726,
 "items":3082.0,
 "order_total_avg":1341449.559055637,
 "total_discount_amount":20061245.64408109}

If an incorrectly formatted date is passed, the server will raise an error. For example, if 2019-08 is passed, the following error is raised.

ValueError: time data '2019-08' does not match format '%Y-%m-%d'