Choropleth maps are a great way to represent geographical data. I have done a basic implementation of two different data sets. I have used jupyter notebook to show the plots. World Power Consumption 2014 First do Plotly imports import plotly.graph_objs as go from plotly.offline import init_notebook_mode,iplot init_notebook_mode(connected=True) Next step is to fetch the dataset, we’ll use… Read More »
Personal notes which I made during Andrew NG’s Stanford Machine learning class. Check this: https://github.com/ppant/MI-Class-Standord/blob/master/personal_notes.txt I am updating notes weekly. Stay tuned.
Brief notes of my learning from course project of getting and cleaning data course from John Hopkins University. The purpose of this project is to demonstrate the ability to collect, work with, and clean a data set. Final goal here is to prepare tidy data that can be used for later analysis. One of the most exciting areas… Read More »
Modern API provided by Google, Twitter, Facebook, Github etc uses OAuth for authentication and authorization. In this example, I am using GitHub API. We get a JSON response which can be used to fetch specific information. In this code I have used my Github account.Code is written R programming languages. Here are the steps: 1.… Read More »