Automate the process of visualization.
Udacity Data Analyst Nanodegree - Project III
Samples for Azure Databricks Orientation
This repository contains project materials for the Spring 2024 STAT 208 class, specifically for Team 8. All materials are the property of Team 8, University of California, Riverside, A. Gary Anderson School of Management. Thank you for viewing our repository.
Udacity Data Analyst Nanodegree - Project V
Data Analyst Nanodegree - Data Visualization
This repo consist of projects on: Data Wrangling, Data Visualization and Machine Learning
Data Analyst Nanodegree - Data Visualization project
Statistical exploration, analysis, and visualization of 2012 PISA international education survey
Predicting Sales and Demand of Walmart Data
we aim to predict trends in the Canadian market basket using sentiment analysis techniques. Sentiment analysis involves analyzing text data to determine the sentiment expressed, whether positive, negative, or neutral.
HHA507 / Data Science / Assignment 3 / Exploratory Data Analysis
Personal financial record keeping and analysis app made in python with statistics and visual summaries.
A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these.
Perform data analysis of service request (311) calls from New York City. I have utilized data wrangling techniques to understand the pattern in the data and visualize the major types of complaints.
Swiggy data analysis-Bangalore outlet
This is a web application that gets user's input location and find shortest path to the nearest hospital using A* algorithm and also show it visually through graph by networkx library
Udacity Data Analyst Nanodegree Project II
This data set contains 113,937 loans with 81 variables on each loan, including loan amount, borrower rate (or interest rate), current loan status, borrower income, and many others. The analysis explore the factors and patterns in the creditworthiness of borrowers and the borrowing trend of Prosper Loan Business.
Este projeto foi desenvolvido durante 7DaysOfCode da Alura, onde são propostos desafios durante sete dias. Este se trata do desafio do primeiro dia onde foi proposto a visualização e o storytelling dos dados disponíveis do CEAPS
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