🌌 The R easystats-project
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Updated
Jun 9, 2024 - R
🌌 The R easystats-project
A data warehouse and business intelligence project on Stock market dataset to answer non-trivial BI queries.
This repository is a container of the material for the R-Ladies Rome talk of April 22, 2023. It contains infromation on how to make a deterministic SIR model with R.
Learning basics of R programming language with useful notes and practice codes
In this repository I'll show how to visualize tweets, re tweets for a Particular Twitter Handle on Google Maps using R in simple steps.
The analysis tackles the following: -Descriptive visualization; Histogram, Boxplot, and Bar plot. -Exploring the relationship in the data by doing hierarchical clustering, Linear Regression, Scatterplot, and Heatmap. -Data interrogation and analysis to determine the meaning of the data, which will be justified by visualisations (Geo-mapping).
The purpose of the study was to look at the causal relationships between lipid profiles (TG, HDL, and LDL) and diseases, drugs, and lifestyle choices. MR analysis was used and applied to GWAS from the UK Biobank to examine these associations using analysis software RStudio.
A dataset containing the prices and other attributes of almost 54,000 diamonds. The variables are as follows: Usage diamonds Format A data frame with 53940 rows and 10 variables: price price in US dollars (\$326–\$18,823) carat weight of the diamond (0.2–5.01) cut quality of the cut (Fair, Good, Very Good, Premium, Ideal) color diamond colour, f…
Performed Exploratory Data Analysis (EDA), Data Cleaning, Data Visualization such as bargraph, Histogram and Heatmap etc. using ggplot2 in R Programming (R studio)
This project is a case study to understand the effects of the Pandemic lockdown on Cycling activity in London. Read more in the link below.
Exploring some visualizations of sub-metered household data and then building predictive models that will demonstrate to the client how the data can be used to help a homeowner to make decisions about altering power consumption.
Data Analytics Programs
Our entry for the "Big Mart Sales Prediction" hackathon by Analytics Vindhya
Capstone Project for the Google Data Analytics Professional Certificate (Coursera)
An interactive shiny-based data analysis tool.
Predication of Wine Quality with removing Outliers
Post Graduation project in Data Analysis using R and Shiny dashboard. There is a strong need to monitor and analyze the suicide occurring across the country and India in addition to regulating them. With the help of the R Tool for visualization, it is easy to understand and interpret the result of the dataset produce by the various techniques us…
Exploratory Data Analysis on Bellabeat Fitness Tracker App using R
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