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.

Plot Matplotlib graphs effortlessly with Django-Pyplot! This Django web application simplifies data visualization, allowing users to create various graphs by entering data without any coding. Enjoy a user-friendly interface, diverse graph types, and seamless integration with Django and Matplotlib.

Udacity Data Analyst Nanodegree - Project V

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

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.

Data Analyst Nanodegree - Data Visualization

Predicting Sales and Demand of Walmart Data

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.

An in-depth book covering essential topics for AI, ML and DL.

Udacity Data Analyst Nanodegree Project II

HHA507 / Data Science / Assignment 3 / Exploratory Data Analysis

This is a wine dataset containing 1599 rows and 12 columns with factors like alcohol, color, PH, residual sugar, sulfur-dioxide was used to determine the quality of wine varying with color.

Personal financial record keeping and analysis app made in python with statistics and visual summaries.

A data analysis project that entails using the data from a fictional loan company known as Prosper to perform exploratory data analysis using univariate, bivariate and multivariate visualizations to produce insights that answers questions asked from the data

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