Cricket Match Dataset: Test Nations (1877–2025) Intro
This dataset offers a comprehensive record of international cricket matches played by all Test-playing nations from 1877 to 2025. It […]
Python Pandas Tutorial
Python Pandas Tutorial
Python Pandas Tutorial
Netflix Movies Life Impact Analysis Prediction with Python Libraries
In this notebook, we dive into the Netflix Life Impact Dataset to uncover patterns and insights into how certain movies might
Data Analytics, Python Pandas Tutorial
How to Run Jupyter Notebooks and Generate HTML Reports with Python Scripts
Here’s a simple guide on running Jupyter Notebooks and generating HTML reports using Python scripts. We’ll use the popular nbconvert
Python Pandas Tutorial
Analysis of Football Match Statistics Data of 25 Years – Python Pandas
Get code here : https://colab.research.google.com/drive/1AJRCZPX7AO85J9tRfGJUcaRzQ_sWWGIU#scrollTo=2CTJZb9D1hql Dataset is available on Kaggle Football Analytics Dataset Overview This dataset offers a rich foundation
Data Analytics, Python Pandas Tutorial
Create Interactive Dashboard using Python – Pandas, Dash and Plotly
To display the components (dropdowns and graphs) in one row with three columns, we can use Dash’s built-in layout structure
Python Pandas Tutorial
IPL Dataset for Sports Data Analysis
download matches csv download deliveries csv Read these conditions before downloading the file: Source of these files is Kaggle.com These
Python Pandas Tutorial
Sample Country Data for Exploratory Data Analysis
Code Name Continent Region SurfaceArea IndepYear Population LifeExpectancy GNP GNPOld LocalName GovernmentForm HeadOfState Capital Code2 ABW Aruba North America Caribbean
Python Pandas Tutorial
What is an Lmplot() in Seaborn ? With Example
What is an Lmplot() in Seaborn ? With Example It is a combination of Scatter Plot and Regression Line. A
What are Pivot Tables ? In SQL How to Create Pivot Tables ?
Pivot tables are used to generate table of statistics from a given table.
It is a table where we put some summary from a given table. In this summary we can put sums, averages, count or other statistics, which the pivot table groups together in a meaningful way.
Python Pandas Tutorial
date_range() Method in Python Pandas
Working With time Series - date_range() Method in Python Pandas *It is used to generate a range of date values.