Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand
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Updated
Jan 24, 2018 - R
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.
An app to select movies for streaming services
📉 Create Diminutive Distribution Charts
This repository is my collection of various projects involving Data Visualization of various datasets using Python
O objetivo desse repositório é mostrar o uso e a importância de histogramas e box plots no contexto de Data Science.
Stats and bootstrapping of gene categories
A less-code variant of Joachim Goedhart's "Leaving the bar in five steps"
Exploratory Data Analysis using python.
Rstudio script to make make some of the figures displayed in Devos et al.2024
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.
Create barplots or boxplots with significant level annotations.
Statistical study of various health related questions
Exploring univariate statistics in R, summarising data and finding patterns in the data.
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.
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:
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