This code takes the DataFrame from the user (it can be in the form of csv file or user can input the data by itself or can take a random data). Using the given data it plots graph (line, scatter, box, histogram, surface, bubble and bar).

Cohort analysis is a subset of behavioural analytics that takes the data from a given data set (e.g. an EMRS, an e-commerce platform, web application, or online game) and rather than looking at all users as one unit, it breaks them into related groups for analysis (Wikipedia)

Data Analysis for National Park Service. Analyzed data on Endangered species from several different parks.

My whole project of the Tech Treck of CMD Amsterdam. It's a 6-week cycle with focus on visualising data with code.

🎓 tech track 2020-2021

Wind Turbine Data Visualisation Interface developed at University of Strathclyde - Technology & Innovation Centre

Évaluation du cours de datavisualisation de Mr Antoine Courtin. Master 2 DEFI - Université Paris Nanterre

Data Visualization on Movie Shots in Toronto

Tableau software is becoming a powerful tool for data visualization then as all curious person who wants to build a great professional profile, I upgrade my ability with this software thank to the course offered by classrooms

This project includes analysis to identify trends and give insights into factors which affect default rates on LendingClub loans between 2007 - 2011. Data visualisations were created as well as a predictive model to help identify who LendingClub should lend to in the future. Data cleaning, analysis and modelling were carried out in Python.

Gives a histogram of percent change in the value of assets against US Dollar over a period of time & Time-frame. Requires MetaTrader-5 Terminal

Repo for the Frontend Applications subject, part of the Tech Track at CMD Amsterdam. Building a datavisualisation using Vue and D3 for the Dutch newspaper de Volkskrant.

CoWIN - X Check vaccination slot Availability & covid19 data Visualization.

Example of the WEB MAP Data used in Data visualization and Google map API

This repository contains steps taken to predict the marketing strategy for a smart device manufacturing company.

Create the Decision Tree classifier and visualize it graphically. The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.

Machine learning is a branch of computer science that studies the design of algorithms that can learn. Typical machine learning tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns. These tasks are learned through available data that were observed through experiences or instructions.

Project on data visualization performed on IMDB data set.