How you show the work is as important as how good you did the work!
You can reveal spectacular results out of the data, run the most complex Machine Learning algorithms on the data, but it does not matter, if you don't present it beautifully. That is what Easy-Heatmap do with the power of OpenCV and Qt5. If you're working on a dataset with features that can be expressed on a 2D surface Easy-Heatmap enables you to create beautiful visualizations.
Follow the steps to render a ordinary image to a painting canvas. This example uses Communities and Crime Data Set and visualize states crime rates. For a detailed explanation regarding the data set, check the data source
The image source for USA map: https://vividmaps.com/borders-united-states/
- Step 1: Upload raw image.
- Step 2: Select the fields you want to concatenate. You can save multiple fields and create seperate heatmaps on the same image! Note: You can leave some fields empty if you have no data.
- Step 3: After saving the fields, upload your preprocessed data and place each point on the fields.
- Step 4: Select a matplotlib colormap and adjust the affect radius! You can check all the colormaps from here
Note: Detailed tutorial will be added soon.