Chapter 4 – Histograms and Box Plots in Plotly
By Ankit Srivastava — Data Analytics Trainer Chapter Objective In this chapter, you will learn how to visualize data distribution […]
Chapter 3 – Bar and Pie Charts in Plotly
By Ankit Srivastava – Lead Digital Marketing Analyst & IT Trainer, Slidescope Institute 🎯 Objective In this chapter, you’ll master
Pandas crosstab() Method
🧩 What is Crosstab? pandas.crosstab() is a frequency table tool that summarizes the relationship between two or more categorical variables.It
Python Pandas Tutorial
Connecting MySQL Database with Python Pandas
Working with data stored in relational databases is a crucial skill in data analysis. MySQL is one of the most
String Functions in Python Pandas
Working with text data is one of the most common and essential parts of data analysis. In real-world datasets—whether it’s
Chapter 2 – Creating Basic Line and Scatter Plots
By Ankit Srivastava – Lead Digital Marketing Analyst & IT Trainer, Slidescope Institute 🎯 Objective In this chapter, we’ll learn
Chapter 1 – Introduction to Plotly
🎯 Objective In this chapter, you’ll understand what Plotly is, why it’s widely used for interactive data visualization, and how
Chapter 9 – Customizing Plots in Matplotlib
So far, we’ve learned how to create various types of plots — lines, bars, histograms, scatter, pie, and subplots. Now
Chapter 8 – Subplots in Matplotlib
So far, we have been creating one plot per figure. But in real-world data analysis, it’s often useful to display
Chapter 7 – Stack Plots in Matplotlib
In the previous chapters, we explored line plots, bar plots, histograms, scatter plots, and pie charts. Another powerful visualization tool