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Learn Python by Case Studies (Practical Python Training: Titanic Dataset Analysis ) Part 4

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Objective: Titanic dataset analysis
What you will learn in this case study?
1. Read csv data using pandas
2. Obtain statistical information (such as Count, Mean, Standard Deviation, minimum, maximum, and the percentiles, the 25th, 50th, and 75th) on all the numeric columns in the dataset
3. Correlation matrix (Table)
4. Group dataset by gender
5. Plot Pie chart
6. Total Passengers Survived and Died
7. Group by gender passenger survived or died
8. Group passenger by ticket class
9. Group passenger survived or died by ticket class
10. Ages of passenger boarded
11. Passengers Survived or Died based on their age
What you will learn in this case study?
1. Read csv data using pandas
2. Obtain statistical information (such as Count, Mean, Standard Deviation, minimum, maximum, and the percentiles, the 25th, 50th, and 75th) on all the numeric columns in the dataset
3. Correlation matrix (Table)
4. Group dataset by gender
5. Plot Pie chart
6. Total Passengers Survived and Died
7. Group by gender passenger survived or died
8. Group passenger by ticket class
9. Group passenger survived or died by ticket class
10. Ages of passenger boarded
11. Passengers Survived or Died based on their age