📉 Create Diminutive Distribution Charts
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Updated
Jul 23, 2019 - R
📉 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
A simple boxplot Javascript library with various quantiles options (like R)
An app to select movies for streaming services
Web scraping additional data to building a model to predict football coaches' salaries
O objetivo desse repositório é mostrar o uso e a importância de histogramas e box plots no contexto de Data Science.
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...
Stats and bootstrapping of gene categories
Conducting one-factor analysis of variance and its assumptions (normality and homogeneity of variance) with R if two groups of data show statistically different behavior. Visualizing data with boxplots to understand if the given state of the fly (fed/starved) affects the feeding and resting pattern.
his task involved performing Exploratory Data Analysis (EDA) on the Titanic dataset using various visualizations such as bar plots, scatter plots, box plots, and distribution plots. The goal was to uncover patterns and relationships between passenger attributes (Age, Sex, Fare, Family Size, Class, etc.) and survival outcomes.
Exploratory Data Analysis using python.
Statistical study of various health related questions
Create barplots or boxplots with significant level annotations.
Building Plotly plots in Python, displaying those plots via Flask.
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