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  • python - How can I group by category and sum total sales by month . . .
    You can use pd Grouper to define months to group by Note that for this purpose the Date column needs to be your index
  • Credit Card Transactions Analysis Project - GitHub
    The project involves analyzing credit card transactions in India using SQL in Python to derive insights such as top spending cities, expense types, and cardholder behavior from a dataset containing over 26,000 transactions
  • Month-over-Month (MoM) Growth | Ntropy Developer Portal
    In this example we will use the Ntropy API to easily track the month-over-month growth for any account automatically, using only the transaction data for that account This example will use the Python Ntropy SDK, as well as some common Python libraries
  • Exploratory data analysis using supermarket sales data in Python
    The dataset consists of historical sales data of a supermarket company from 3 different branches over 3 months from Jan-March 2019 Following table provides a summary of the variables and the variable description
  • Using Pandas to Analyze Sales Data - Atmosera
    In this blog tutorial you will learn how can use pandas, a popular data analysis package for Python, to load and work with data Check out the blog now
  • Sales Trend Analysis With Pandas - DEV Community
    You are to go through and analyze the sales data from 2015-2017 in order to generate the requested report The report should capture the following; The most productive sales Rep in the respective years From your analysis, give 3 recommendations you think would help the company increase revenue in the following year
  • How to calculate highest total sales for the last month of data in python
    How to calculate which store highest total sales for the last month of data in python? What have you tried so far? What is your expected output? First create DatetimeIndex: Store1 Store2 Store3 Store4 dtype='datetime64[ns]', name='Date', freq=None) Then convert to month period by to_period: Store1 Store2 Store3 Store4
  • Retail Sales Analysis and Insights Using SQL - GitHub
    This project focuses on analyzing retail sales data to extract valuable business insights using SQL The analysis helps identify top-selling products, revenue trends, month-over-month growth, and profit growth across different product categories and regions


















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