Enhancing Customer Insights Through Data Structure Analysis

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The dataset titled "Jomar imnida" consists of 301 rows and 30 columns, featuring a combination of object and numeric/categorical data types. Key columns include "Thesis Title" and "Cultural Practices," with unnamed columns spanning across numeric and categorical data. Data is structured with metadata in the first row, headers in the second, and respondent data from the third row onwards. Challenges include unlabeled columns, mixed data types, and missing values. Recommended cleaning steps...