[Data cleaning using pandas (Titanic
Abdullah Musa
[Data cleaning using pandas (Titanic dataset) ]
Before analysis, I cleaned the Titanic dataset:
1. Filled missing Age values with the median age (177 missing → 0)
2.Dropped the Cabin column (687 missing values, too sparse)
3.Filled missing Embarked with the most common port (2 missing → 0)
Result: 891 rows, 11 columns, no missing values in critical fields. Clean, consistent data ready for AI processing.
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Posted Apr 26, 2026
[Data cleaning using pandas (Titanic dataset) ] Before analysis, I cleaned the Titanic dataset: 1. Filled missing Age values with the median age (177 missi...
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