Predication of Wine Quality with removing Outliers
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Updated
Jun 23, 2018 - R
Predication of Wine Quality with removing Outliers
Data Analytics Programs
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.
A data warehouse and business intelligence project on Stock market dataset to answer non-trivial BI queries.
R-Script for EDA of Travel Diary Data and developing Mode Choice Models based on Utility Functions.
A summary dashboard of the Covid-19 cases in Italy (online version)
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.
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…
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…
Our entry for the "Big Mart Sales Prediction" hackathon by Analytics Vindhya
Capstone Project for the Google Data Analytics Professional Certificate (Coursera)
Exploratory Data Analysis on Bellabeat Fitness Tracker App using R
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.
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
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).
Pre-processing of data related to Treasury auctions in R.
An interactive shiny-based data analysis tool.
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