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I am not the best at coding. Particulary w.r.t code for interviews. SO I've decided to make a concious effort to become better and do Unstop's 100 days of code challenge . On each of the 100 days, I'll update this table with the challenges I've solved. If anyone is particulary interesting I',ll write a separate post and link it Problem Topics Notes Chessboard Arrays Nothing much
This blog is fourth in a series of (unofficial) course notes for the Data Visualization with React and D3 series by Curran Kelleher. Read the introductory blog post here . The next chart in the series is a simple map of the world. In this chart Curran actually uses a Topojson file, then converts it into Geojson and then plots it. I am not planning to do that as it seems complicated and also for…
This blog is second in a series of (unofficial) course notes for the Data Visualization with React and D3 series by Curran Kelleher. Read the introductory blog post here . The next chart type in the course is a line-chart based on San Francisco temperature data, available here . We will use the scatter plot code from the last chart here . Some interesting things about the dataset , its temporal in…
This blog is second in a series of (unofficial) course notes for the Data Visualization with React and D3 series by Curran Kelleher. Read the introductory blog post here . The next chart in the series is a scatter plot based on the Iris Flowers Dataset . I figured we could reuse a lot of the code from earlier examples than rewiriting everything from scratch. A properly cleaned version of the…
This blog is part of (unofficial) course notes for the Data Visualization with React and D3 series by Curran Kelleher. Read the introductory blog post here . The first chart Curran explores is a simple horizontal bar chart. The data used for the chart is United Nations World Population Prospects data available here on their website . I am going to be using a (badly cleaned 😬) slice of the data .…
Curran Kelleher's Data Visualization With React and D3 is probably the most comprehensive course on D3 on the Internet. For some time I have been curious about D3 and data visualization in general. While I have worked with Python libraries like Matplotlib , Seaborn and Plotly and they are fantastic for most kinds of exploratory and scientifc plots they have limitations on the web particularly in…