Content with Code -

Dealing with missing data

Imputation, deletion, or machine learning are used to handle missing data, ensuring unbiased and accurate analyses.

Data Analysis

Statistics

Dealing with missing data is an essential step in data analysis and modeling. Missing data can arise due to various reasons, such as incomplete surveys, data entry errors…

Process data using apply function

Use apply function to process data row-wise or column-wise efficiently.

python

Data analysis

R Code

Statistics

Apply function one of the most important to row or column…

Configure multiple SSH keys for different GitHub accounts in Git.

Generate two SSH keys, add them to the GitHub accounts, and set up ~/.ssh/config to associate each key with the corresponding account.

Data Science

github

git

To connect SSH keys for two separate GitHub accounts (one personal and another professional) on your local desktop, we can follow these steps:

EasyTask

Custom application transforms CSV data into actionable insights with just a few clicks

python

Data Analysis

Streamlit

As a data analyst, working with a data set involves several important steps to gain insights and make informed decisions some important or crucial aspects are -

Tableau Lite

Custom application using python streamlit and pygwalker

python

Data analysis

Tableau is used for data visualization and business intelligence, helping users analyze and explore data through interactive visualizations. Its user-friendly interface and…