Data surrounding an Instagram page’s engagement during the month of July was imported and manipulated to plot a colour-encoded matrix that revealed general patterns in their dataset. The final heatmap displays data from Instagram that identifies the best time of the day and day of the week to run social media marketing campaigns.

Modelling the relationship between a player’s first-time eligible arbitration salary and multiple variables.

Loan analysis is an evaluation method that determines if loans are made on feasible terms and if potential borrowers can and are willing to pay back the loan. It checks the eligibility of the potential borrower against the criteria set forth for lending.Loan analysis is an evaluation method that determines if loans are made on feasible terms and…

Made a heat map for agriculture data

FreeCodeCamp data analysis challenge: Medical Data Visualizer 📊

Determining ideal vacation spots by analyzing weather data around the world.

We are trying to plot an advance heatmap plot here which can be broken into hourly and monthly basis for multiple years for 24 hours in a given day

Flywheel gear for generating heatmaps of cortical thickness abnormalities in aging patients.

A heatmap generator for sixel-capable terminals.

Data analysis and modeling (Clustering) on the Imtiaz mall electronics dataset using statistical and mathematical techniques and Python programming language.

Software pipeline for generating heatmaps of cortical thickness abnormalities in patients across the age spectrum.

Visualização com a biblioteca folium de todas as escolas de Santa Catarina

Heatmap visualization for Spotify listening activity using Spotify Web API

This code will help you to create and customize seaborn heatmaps using python.

The dataset contains students last three year exam results combined with other data such as their sex, family size, father and mother job and some of their personal and social life properties. The goal is to train ML models to predict student performance in their last year exams.

This AutoHotkey script tracks and logs left, right, and middle mouse clicks along with the date time and their x and y coordinates. It features automatic GUI updates and generates a visual heatmap via a Python script accessible from the system tray. Ideal for analyzing user interaction and creating detailed mouse activity maps.

Created a heatmap to showcase the avg. tips left by groups during lunch & dinner

Performs Cohort Analysis on a given dataset using Jupyter notebook which includes libraries like pandas,matplotlib and seaborn to get details about a retail store and see which products is being sold repeatedly and which are not

Spatial and calendar heatmaps from Garmin data