Bug: wrong dynamic typing when first rows are of a different type

[nonodev96]

I am having problems with papaparse and danfojs, the dynamic typing fails, because it detects wrong the data type of the series if the first elements are of type number, and then they are of type float or text.

Users can upload any type of csv and dynamic typing fails, and I cannot hardcode anything.

Is there any way to increase the number of rows to read to define the data type?
Users can upload any type of csv and dynamic typing fails, and I cannot hardcode anything.

Is there any way to increase the number of rows to read to define the data type?

An example happens with this dataset with FAF column. The column must be float32, but it detects it as integer, it happens in other cases also with numbers that must be categorical (string).

const df = await dfd.readCSV(path, paparseConfig);
console.log(df)