ab-testing

In the model, we define the dependent variable (total_visitors or total_carts) and the independent variable (absent_factor), using C() to specify it as a categorical variable. We then perform ANOVA on these models using anova_lm(), and print the results.

covid19

ds_salary_proj

Repo for Salary prediction project

parkingbay

real-estate-data-analysis

This project includes data loading, preliminary data exploration, checking for missing values, correlation matrix visualization, distribution of housing prices, and relationship between average number of rooms and house price.

rentcpt

Easily find an average rent per area given different variables

sales-data-analysis

This involves analyzing a company's sales data to extract meaningful insights. It includes data loading, preliminary data exploration, checking for missing values, analyzing sales trend over the years, finding top 10 profitable products, and analyzing sales and profit in different regions.

twitter-sentiment

In this project, we are searching for tweets about Bitcoin and then printing each tweet's text and sentiment. Sentiment is a value between -1 (negative sentiment) and 1 (positive sentiment).

website