What is the limit on the amount of input data (in CSV or JSON format) that can be used to create a

Attempting to visualize a large dataset using D3.js has posed a challenge for me. The data size is 261 MB with approximately 400,000 rows in CSV format. Even when I attempt to run it with just 100,000 rows, the visualization does not appear on the browser. Instead, I receive a WARNING message indicating an unresponsive script - suggesting that the script may be busy or have stopped responding.

The script in question can be found here:

Interestingly, when I use a smaller sample of around 1000 rows, the visualization works perfectly fine. This raises the question of what the actual data limit is when attempting to visualize a dataset using D3.

Answer №1

D3 does not have any built-in constraints when it comes to the volume of data you can handle, process, or display. Any limitations you face are dependent on your specific browser and hardware configuration.

In this scenario, the sheer quantity of data you are trying to showcase exceeds what a regular browser can handle efficiently -- just loading the CSV file online would result in an extended wait time. It might be advisable to either pare down the dataset significantly or create pre-generated visualizations that can be shared as static images.

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