There are 0 repository under boxplots topic.
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.
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.
Python EDA and Visualization Using , Matplotlib, Seaborn,Plotly and Bokeh. Map visualization using Folium
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:
An app to select movies for streaming services
Miscellaneous scripts...
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.
Analytical comparison of different theatrical campaigns regarding their launch dates and their funding goals.
This repository contains my data analysis to determine the key influences that increases or decreases insurance rates.
Statistical study of various health related questions
Data Activist Project on Gender Pay Gap using boxplot data visualizations
Exploratory Data Analysis using python.
Dataset analysis as a final exercise to test the various concepts learned throughout the semester in the subject 'Statistics for DataSc', and its application using python
An urban restaurant delivery service assesses its delivery performance as it looks to grow its business.
Create barplots or boxplots with significant level annotations.
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.
These are the solutions to the supplementary exercises for STA258. I automated the questions with things like pdf readers and functions built to answer all the questions. Please enjoy the fruit of my work. I maintain all "intellectual" property. All questions belong to Alison Weir.
Using boxplots to investigate US hospitals healthcare costs
Stats and bootstrapping of gene categories
It has been a few days since you sent your boxplot to the senior scientist at Pymaceuticals and today they finally got back to you with feedback. They said your inital For this, I will leverage the same drug regimen data from last class and utilize subplots to create an advanced visualization that is packed with insightful information!
Missing values imputation using KNN and visualization with Boxplots and Violin plots in R
A less-code variant of Joachim Goedhart's "Leaving the bar in five steps"
Exploring univariate statistics in R, summarising data and finding patterns in the data.
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.