Study materials - Data science : R, tidyverse, python when undergraduate student

In this project, I will use R and apply exploratory data analysis techniques in a selected dataset about "White Wine Quality" to discover relationships among multiple variables and the influence each of these on the quality, and create explanatory visualizations illuminating distributions, outliers, and anomalies.

EDA and model fitting work for the TMDB Box Office Prediction Kaggle Competition. The goal of the competition is to predict the amount of box office revenue for a movie. Would be in the 58th percentile (top 42%) in the competition, if the competition was open still.

Analysis of crimes occuring in Boston and then trying to predict the monthly crime count

Data Cleaning and Exploratory Data Analysis using R programing Language

Brain-stroke is a kind of disease that is known from so many years but, majority of the people is not aware about the disease itself, it’s causes and its immediate symptoms.

A data visualization tool, so you can Nsight in your data

This is a presentation of a covid19 dataset to track the history and trends of the coronavirus from December 2019 to September 2020 for all continents or specific countries. We show some simple graphs using mostly the "ggplot2" library.

This project shows the data analysis of economic data using Fred API (Federal Reserve Economic Data) by cleaning the data, fetching data from the API, exploring and analyzing.

Cardiovascular diseases (CVDs) are the leading cause of mortality worldwide, responsible for a significant number of premature deaths. Heart failure, often a consequence of CVDs, can be effectively managed with early detection and treatment. This dataset contains 11 features that can be utilized to predict the likelihood of heart disease, aiding in

Perform an exploratory data analysis and provide actionable insights for a food aggregator company to get a fair idea about the demand of different restaurants and cuisines, which will help them enhance their customer experience and improve the business

Customer Analytics: Explore and analyze data related to bikeshare systems for three major cities

Using exploration data analysis (EDA) techniques to predict wine quality rating from their chemical properties. Created multivariate plots to illustrate relationships between attributes and quality in R.

kaggle forest cover prediction challenge data analysis and Random forrest model

探索性分析红酒品质的相关性因素

Webscraping and analysing games of Hikaru Nakamura

Exploratory Data Analysis on Students Performance Dataset

EDA and Logistic Regression on demographic factors influence patient appointment booking

The project focuses on data visualisation of the FordGoBike August 2019 data.

My portfolio, made with Bootstrap.