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instead of hard coded values. Produce a clean csv and a csv with all the removed values and columns with reason for removal. Add script for running cleaning for each project |
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| .. | ||
| raw | ||
| sample_admin_data.csv | ||
| sample_demographics.csv | ||
| sample_districts_and_schools.csv | ||
| sample_enrollment_data.csv | ||
| sample_four_d_data.csv | ||
| sample_sqm_framework.csv | ||
| sample_staffing_data.csv | ||
| secondary_test_2020-21_student_survey_responses.csv | ||
| test_2020-21_student_survey_responses.csv | ||
| test_2020-21_teacher_survey_responses.csv | ||
| test_2022-23_butler_student_survey_responses.csv | ||