Data, data and, data. Something that can be found everywhere, but what data is, and why it is a hot subject these days? Data, in summary, is information, information gathered by different sections of a company or different people in an organization, and the reason it is a hot subject these days is, businesses are using it to get insights about their performance in various fields. However, data by itself cannot do anything to keep a business afloat; it should be processed and analyzed in order to become suitable for reporting. Anyway, in this repo I want to share my insights derived from Hyper Star’s stores dataset. In this repo, you can have access to 4 notebooks and their details to see how I reached to some results.
-
What is the biggest increase rate in sales in different stores on the weekend?
-
Forecasting sales for the next month using ARIMA and SMA.
-
How to prepare our data for forecasting?
for the first question you can check out this notebook 1.weekend purchase.ipynb
to see how I modeled the sale behavior you can check out this notebook 2.modeling.ipynb
to see the pipeline preparation you can check out this notebook 3 pipeline for preparing data.ipynb
and finally, you can check out this notebook to see how I added some additional features like the order of weeks and the order of days in a week checking data.ipynb
GOOD LUCK!