This repo contains projects on data analysis and visualization.
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Updated
Mar 29, 2023 - HTML
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
This repo contains projects on data analysis and visualization.
Optimize decision making for orders on Doordash platform through the analysis and processing of the data provided by the app
Group project for Northwestern Data Science and Visualization Bootcamp. Data analysis and visualization using World Happiness Report.
Data-driven insights from hotel bookings, unveiling trends and strategies for optimization.
Exploratory Data Analysis, Data Visualization, Statistics
Data Analysis Project: Investigating Factors Contributing to No-Show Appointments in Medical Records
Google Data Analytics Capstone Project, Case Study II (How Can a Wellness Technology Company Play It Smart?)
A case study that will analyze publicly available data sets, provided by the course, for a bike share program based in Chicago.
Analysis of StackExchange datasets concering users of this platform using various R libraries (base R, data.table, dplyr) and Python (numpy, pandas)
Exploratory Data Analysis of Titanic Passenger Dataset and Machine Learning Survival Prediction Model
This project aims to analyze a comprehensive GDP (Gross Domestic Product) dataset from various countries and time periods. By leveraging data visualization techniques, we have created and interpreted various graphs and charts to gain insights into the economic performance and trends of different nations.
Explore the impact of national culture (Using Hofstede's 6D model) on innovation by comparing GII which tracks most recent global innovation trends.
Python application using Streamlit for data analysis and visualization of statistics from the Christopher Newport University Men's Basketball team
Education Project 04 - HeadHunter.ru Data Cleaning, Visualization and Analysis
This repository will be containing all my projects submitted during Data Analyst Nanodegree program
combining info viz and data semantics for creating meaningful connected networks of episodes
Analysis of Survival Data of RMS Titanic to find factors that made passengers more likely to survive.
A random forest classifier to recognize handwritten digits