The error encountered is due to the use of an outdated parameter error_bad_lines in the pd.read_csv() function. This parameter has been deprecated and removed in recent versions of pandas. Instead, we should use the on_bad_lines parameter to handle lines with unexpected numbers of fields.

Let's adjust the code to use on_bad_lines='skip' to skip problematic lines and reload the data.

The distribution of voting methods in the provided dataset is as follows:

There are also some unexpected entries that appear to be errors or misclassifications, such as numeric values and slight variations of "IN-PERSON" like "IN-PERERSON" and "IN-P-PERSON". These might need further investigation or cleaning.

If you have any more questions or need further analysis, feel free to ask!