Data visualizations of many datasets
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Updated
Sep 2, 2017
Data visualizations of many datasets
Creating a visualization dashboard website plotting weather data with Python and OpenWeatherAPI of over 500 cities showing how weather changes depending on latitude, including a responsive data table.
Vaccination tracking & visualization dashboard using Google Charts and Google Spreadsheets
This project intends to create a visualization dashboard website using visualizations of weather data.
We are trying to reinvent the digital book search. We want to change the book search and make it more engaging, visually appealing and easy to use.
Plataforma Web de Monitoreo de Puentes
A web scraper to retrieve country and city data statistics from the Worldometers.info web page.
Wenchang Liu - Repository for Homework and the Final Project for the ECS 272 information visualization course.
Visualisation dashboard for COVID-19
JADS group 3 - project done during the Data Consultancy in Action course
Using social media to determine the success of a startup
Je suis un grand fan de l'analyse des données avev PYTHON
Analyze Diwali Sales data using Pandas, NumPy, Matplotlib, and Seaborn Libraries to Improve customer experience and also sales.
Analyze Zomato restaurant data all the world and find the insights by using Python libaries and also visualize the dataset by using Power-bi
Analyze the company's sales performance in fashion products.
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
Dijkstra's & Prim's Algorithms Visualizer is a client-side web application that allows users to create and customize graphs as well as run Dijkstra's and Prim's algorithms on those graphs. Users can control speed of execution, number of nodes, and weihgt range for a given graph, and if the user wishes he can save the graph locally on his computer.
The Data Visualization Dashboard for Website Scoring is a project that visually presents website scoring data through charts and graphs.
The objective of this project is to analyze the performance of a Technical Support Centre by examining ticket volumes, resolution times, and customer satisfaction rates.
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