Udacity Webpage DataPopulation
Project of the Udacity Machine Learning Engineer Nanodegree Program. Webpage with Dashboards of the distribution of the Brazilian population in rural and urban.
Overview
The Data dashboard with worldbank data project is part of the Udacity Machine Learning Engineer Nanodegree Program. It involves the creation of a webpage with dashboards displaying the distribution of the Brazilian population in rural and urban areas from 2000 to 2019. The project utilizes various programming technologies including Python, Pandas, Flask, Jinja, Plotly, and Bootstrap.
Features
- Webpage Dashboards: The project includes interactive dashboards displaying the distribution of the Brazilian population in rural and urban areas. Users can explore the data from different years and view the population distribution visually.
- Python Programming: The project utilizes Python as the primary programming language for data analysis, data visualization, and web development.
- Pandas: Pandas is used as a data manipulation and analysis library to handle the dataset and perform calculations.
- Flask: Flask is utilized as a web framework to build the backend of the data dashboard.
- Jinja: Jinja is used as a templating engine to dynamically render HTML templates for the webpage.
- Plotly: Plotly is used for creating interactive visualizations and charts for the data dashboard.
- Bootstrap: Bootstrap is the CSS framework used for styling the webpage and making it responsive.
Summary
The Data dashboard with worldbank data project is an interactive webpage that displays the distribution of the Brazilian population in rural and urban areas from 2000 to 2019. It makes use of Python, Pandas, Flask, Jinja, Plotly, and Bootstrap to create an engaging and visually appealing dashboard. Users can explore the population data through interactive charts and visualizations, providing valuable insights into the demographic trends in Brazil over the years.