📉 Create Diminutive Distribution Charts

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.

This repository is my collection of various projects involving Data Visualization of various datasets using Python

This repository presents analyses that can be run using my code for exported Facebook Analytics Post data.

A simple boxplot Javascript library with various quantiles options (like R)

An app to select movies for streaming services

O objetivo desse repositório é mostrar o uso e a importância de histogramas e box plots no contexto de Data Science.

Web scraping additional data to building a model to predict football coaches' salaries

R program to analyze and calculate statistical values given a dataset of home prices that include information about the number of baths, bedrooms, year, square-feet, taxes, and other features. Learn more:

Python EDA and Visualization Using , Matplotlib, Seaborn,Plotly and Bokeh. Map visualization using Folium

Miscellaneous scripts...

Predicting Online News Popularity

Stats and bootstrapping of gene categories

A less-code variant of Joachim Goedhart's "Leaving the bar in five steps"

Create barplots or boxplots with significant level annotations.

Statistical study of various health related questions

Exploratory Data Analysis using python.

Perform an analysis on Kickstarter Campaign data to uncover trends like finding outliers while using Excel Pivot Tables, VLOOKUP, Descriptive Statistics, and visualizations with Box Plots.

A collection of useful implementations to perform EDA on a new dataset in order to understand preliminary patterns in the dataset and gain a high-level grasp of the dataset using plots and visualizations.