Visualization software designed to explore large amouts of data. (this is the read-only mirror of https://gitlab.com/squey/squey)

Simple statistical functions that are useful for exploratory spatial data analysis (ESDA) on-the-fly in JavaScript

The aim of this project is to perform Exploratory Data Analysis (EDA) of the London housing dataset. The analysis includes data loading, cleaning and visualization to find key trends and patterns in housing prices, houses sold, and crime rates across various areas in London over time.

Data Analytics Projects using SQL, Python, Power BI, Tableau and more.

This repository is where I share and organize my data analyses, covering a range of topics from descriptive to predictive analytics, using mostly large, real-world datasets gathered from various sources.

Unified, flexible and extensible visual toolkit for eye tracking data analysis

Measurement invariance explorer - R package to explore measurement invariance

Projeto de análise exploratória de dados sobre criminalidade e violência contra minorias no estado do Ceará.

Welcome to the Time Series repository. This space is dedicated to the study, analysis and application of techniques related to time series analysis. From basic models to advanced approaches, this repository provides resources, tools, and examples for understanding and working with temporal data.

Playing with data science by taking a look at the proportions of flour, sugar, butter, and eggs in 147 Madeleine recipes (the traditional French sponge cake).

This contains EDA and Feature Engineering implementation to uncover patterns and identify outliers to transform raw data into informative features for machine learning.

Prediction of students' dropout using classification models. Data visualisation, feature selection, dimensionality reduction, model selection and interpretation, parameters tuning.

In-Depth Exploratory Data Analysis on Airbnb Listings NYC 2019 Dataset

In-Depth Exploratory Data Analysis on 12 Months of Sales Dataset

Statistical learning repository

Report of key indicatior in Brazilian aviation market.

Explored and visualized COVID’s most affected countries, highest death rates, and fastest vaccination rates with LiftedViz interns to teach best practices and tips in SQL data cleansing and Tableau dashboard creation.

Objective, create an intuitive and user-friendly web-based application for visualizing and exploring NHANES data. This dashboard will enable users, including those with limited or no Python programming experience, to interact with NHANES data and generate informative visualizations to gain insights into various health-related aspects.

Through this exercise, we do a detailed analysis of modeling the response to an upselling campaign by using testing and predictive analysis to target the "right" customers.