To fix a histogram where almost all the values are concentrated in one spot, you can consider using logarithmic scaling for the histogram bins. This is particularly helpful when you have a few extreme values that are skewing the distribution and making it hard to visualize the rest of the data.
Here's a simple example using D3.js library for creating a histogram with logarithmic scaling:
index.tsx1282 chars48 lines
This code snippet uses D3.js to create a histogram with logarithmic scaling for the x-axis, which can help spread out the distribution and make it easier to visualize the data.
Remember to adjust the thresholds
value in the histogram
function to suit your data and visualization needs.
gistlibby LogSnag