5 More Essential DAX Functions Tutorial on USA Retail Sales Data
Here are 5 More Essential DAX Functions in Power BI with Practical Examples: DAX (Data Analysis Expressions) offers powerful functions […]
5 Essential DAX Iterator and Counting Functions in Power BI on Retail Sales Data
Dataset used in this project is SlideScope Retails Sales Data, that you can get from here: https://slidescope.in/digital-store/retail-store-sales-dataset-for-ai-ml-and-data-analytics-2026/ Here is a
How to Create Custom Visuals in Power BI Using R Programming | Step-by-Step Tutorial
See the Dashboard Here: Power BI offers a wide range of built-in charts, including bar charts, line charts, pie charts,
German Fashion Apparel Supply Chain Analytics: A Dataset for Power BI, Excel, Tableau and Python
Supply chain management is an important part of the fashion and apparel industry. A manufacturing company must purchase raw materials,
Multi-PLC Production Data Analysis Using Power BI, Tableau and Python
Conceptualized by Ankit Srivastava, SlideScope Modern manufacturing environments generate data continuously through PLCs, sensors, machines, and production systems. Learning how
AI Usage & Impact Analytics Dashboard in Power BI: Complete Step-by-Step Tutorial
Artificial Intelligence has quickly become part of education, professional work, research, coding, writing, customer support, and everyday productivity. But simply
Full Stack Vibe Coding, From MySQL Database to Six Interactive Charts
See the chart here: This chart may look ordinary but it has been created using: SQL Data -> Python API
Read Data from APIs and Create Charts with JavaScript
In the previous chapter, we created our own SQL-to-JSON API using Python. Our Python program connects to the Northwind database,
Create Your Own SQL to JSON Data API with Python
APIs are one of the most common ways applications exchange data. A frontend application, mobile app, dashboard, or another backend
Audience Analysis Using Python Pandas: Part 2 — GroupBy and Audience Segmentation
Introduction In Part 1 of our Audience Analysis project, we loaded the Excel dataset, performed basic EDA, identified missing values,