Data Handling using Pandas - II — Syllabus
CBSE · Class 12 · Informatics Practices
What Data Handling using Pandas - II covers in CBSE Class 12 Informatics Practices: 4 topics, for the 2026-27 session.
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Topics in Data Handling using Pandas - II
1. Descriptive Statistics
- Descriptive statistics summarize data quickly and clearly.
- The main methods are max, min, count, sum, mean, median, mode, quartiles, and variance.
- DataFrame.max() calculates maximum values regardless of data type.
2. Data Aggregations
- Aggregation means to transform the dataset and produce a single numeric value from an array.
- Aggregate functions are max(), min(), sum(), count(), std(), and var().
- Aggregation can be applied to one or more columns together.
3. Sorting a DataFrame
- Sorting refers to the arrangement of data elements in a specified order, which can either be ascending or descending.
- Pandas provides sort_values() to sort DataFrame data values.
- By default, sort_values() sorts in ascending order on row indexes.
4. GROUP BY Functions
- GROUP BY splits data into groups based on some criteria.
- The process works in three steps: split, apply, combine.
- Groups can be formed using one column or multiple columns.
Key Concepts
Central concept: Advanced DataFrame analysis and management in Pandas
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Sources & Official References
- NCERT Official — ncert.nic.in
- CBSE Academic — cbseacademic.nic.in
- CBSE Official — cbse.gov.in
- National Education Policy 2020 — education.gov.in
Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.
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