Return to Answer

I just released version 2.0, which now allows you to export the data to a CSV format from your browser.

Now you can set up your "query," run it to get the "generic" stats I generate, and then export the data to the data analysis/charting/statistics package of your choice to run arbitrary other data manipulation steps on it.

For instance, you can copy and paste into a text file, and upload this to say, Google Docs, and then filter/sort/chart the data through there.

The columns available in the data exported are:

question_id, question_creation_date, tags, question_score, question_up_vote_count, question_down_vote_count, view_count, question_user_id, question_user_rep,answer_id,answer_creation_date, answer_score, answer_up_vote_count, answer_down_vote_count, is_accepted, answer_user_id, answer_user_rep

There is one row per question + answer pair (so question_id's may be duplicated if there is more than one answer). If a question is unanswered, it will have one row in the exported set, with all 0's for the answer data. (note that "answer_id" == 0 is invalid, so you can use this to filter for unanswered questions or invalid answer data).

Dates are in Unix timestamp format (which is the SE API standard). Multiple tags use | as a separator.

I just released version 2.0, which now allows you to export the data to a CSV format from your browser.

Now you can set up your "query," run it to get the "generic" stats I generate, and then export the data to the data analysis/charting/statistics package of your choice to run arbitrary other data manipulation steps on it.

For instance, you can copy and paste into a text file, and upload this to say, Google Docs, and then filter/sort/chart the data through there.

The columns available in the data exported are:

question_id, question_creation_date, tags, question_score, question_up_vote_count, question_down_vote_count, view_count, question_user_id, question_user_rep,answer_id,answer_creation_date, answer_score, answer_up_vote_count, answer_down_vote_count, is_accepted, answer_user_id, answer_user_rep

There is one row per question + answer pair (so question_id's may be duplicated if there is more than one answer). If a question is unanswered, it will have one row in the exported set, with all 0's for the answer data. (note that "answer_id" == 0 is invalid, so you can use this to filter for unanswered questions or invalid answer data).

Dates are in Unix timestamp format (which is the SE API standard). Multiple tags use | as a separator.

I just released version 2.0, which now allows you to export the data to a CSV format from your browser.

Now you can set up your "query," run it to get the "generic" stats I generate, and then export the data to the data analysis/charting/statistics package of your choice to run arbitrary other data manipulation steps on it.

For instance, you can copy and paste into a text file, and upload this to say, Google Docs, and then filter/sort/chart the data through there.

The columns available in the data exported are:

question_id, question_creation_date, tags, question_score, question_up_vote_count, question_down_vote_count, view_count, question_user_id, question_user_rep,answer_id,answer_creation_date, answer_score, answer_up_vote_count, answer_down_vote_count, is_accepted, answer_user_id, answer_user_rep

There is one row per question + answer pair (so question_id's may be duplicated if there is more than one answer). If a question is unanswered, it will have one row in the exported set, with all 0's for the answer data. (note that "answer_id" == 0 is invalid, so you can use this to filter for unaswered questions or invalid answer data).

Dates are in Unix timestamp format (which is the SE API standard). Multiple tags use | as a separator.

I just released version 2.0, which now allows you to export the data to a CSV format from your browser.

Now you can set up your "query," run it to get the "generic" stats I generate, and then export the data to the data analysis/charting/statistics package of your choice to run arbitrary other data manipulation steps on it.

For instance, you can copy and paste into a text file, and upload this to say, Google Docs, and then filter/sort/chart the data through there.

The columns available in the data exported are:

question_id, question_creation_date, tags, question_score, question_up_vote_count, question_down_vote_count, view_count, question_user_id, question_user_rep,answer_id,answer_creation_date, answer_score, answer_up_vote_count, answer_down_vote_count, is_accepted, answer_user_id, answer_user_rep

There is one row per question + answer pair (so question_id's may be duplicated if there is more than one answer). If a question is unanswered, it will have one row in the exported set, with all 0's for the answer data. (note that "answer_id" == 0 is invalid, so you can use this to filter for unanswered questions or invalid answer data).

Dates are in Unix timestamp format (which is the SE API standard). Multiple tags use | as a separator.

I just released version 2.0, which now allows you to export the data to a CSV format from your browser.

Now you can set up your "query," run it to get the "generic" stats I generate, and then export the data to the data analysis/charting/statistics package of your choice to run arbitrary other data manipulation steps on it.

For instance, you can copy and paste into a text file, and upload this to say, Google Docs, and then filter/sort/chart the data through there.

The columns available in the data exported are:

question_id, question_creation_date, tags, question_score, question_up_vote_count, question_down_vote_count, view_count, question_user_id, question_user_rep,answer_id,answer_creation_date, answer_score, answer_up_vote_count, answer_down_vote_count, is_accepted, answer_user_id, answer_user_rep

There is one row per question + answer pair (so question_id's may be duplicated if there is more than one answer). If a question is unanswered, it will have one row in the exported set, with all 0's for the answer data. (note that "answer_id" == 0 is invalid, so you can use this to filter for unaswered questions or invalid answer data).

I just released version 2.0, which now allows you to export the data to a CSV format from your browser.

Now you can set up your "query," run it to get the "generic" stats I generate, and then export the data to the data analysis/charting/statistics package of your choice to run arbitrary other data manipulation steps on it.

For instance, you can copy and paste into a text file, and upload this to say, Google Docs, and then filter/sort/chart the data through there.

The columns available in the data exported are:

question_id, question_creation_date, tags, question_score, question_up_vote_count, question_down_vote_count, view_count, question_user_id, question_user_rep,answer_id,answer_creation_date, answer_score, answer_up_vote_count, answer_down_vote_count, is_accepted, answer_user_id, answer_user_rep

There is one row per question + answer pair (so question_id's may be duplicated if there is more than one answer). If a question is unanswered, it will have one row in the exported set, with all 0's for the answer data. (note that "answer_id" == 0 is invalid, so you can use this to filter for unaswered questions or invalid answer data).

Dates are in Unix timestamp format (which is the SE API standard). Multiple tags use | as a separator.