Data Cleansing - Handling CSV files
If you read the entire file without skipping jumbled lines, does it stil work? What values appear in those jumbled cells?

You could go down the road of imputation, i.e. filling the missing gaps, based on something you can deduce from the data that is there.

Example are:


fill-forward: fill will preceding non-missing value
fill-backwards: fill with following non-missing value
average-filling: if numerical, fill gaps with the mean/median etc. of that column. You could also use something like a moving average.
model-based: fill missing values using e.g. a regression model on available values (this needs a target variable, or at least timestamps)


One last snity-check: I assume it isn't possible for you to try creating the CSV file again and addressing the problem at its source?