November 8, 2023
Understanding CSV data structure
A CSV (Comma-Separated Values) file stores tabular data in plain text, with each line representing a row and each value within the row separated by a comma. It's crucial to ensure that the CSV data is well-formatted to avoid parsing errors.
Reading the CSV file
FileReader API. It allows you to read the contents of a file asynchronously.
Parsing CSV to an array
Once you have the CSV data as a string, you can convert it to an array. You might use a library like
PapaParse, or for simpler use-cases, split the text into lines and values manually.
Handling quotes and commas
Be aware that values in CSV may contain commas or quotes. To handle these cases, a more robust parsing function is needed that respects quoted sections of the CSV.
Asynchronous file loading and parsing
For larger files, consider parsing the CSV data asynchronously to avoid freezing the UI. Web Workers or asynchronous iterators can be useful for this purpose.
Testing and validation
Before using the array in your application, test the parsing process with various CSV files and validate the output to ensure that all data is correctly formatted and structured.
fs for file system access.
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