Da Mean Median Mode — Free Data Analytics Tutorial
Learn Da Mean Median Mode in Data Analytics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Da Mean Median Mode in Data Analytics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
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Da Mean Median Mode in Data Analytics
Measures of central tendency describe where the "centre" of a dataset is. The three main measures are mean, median, and mode — each tells a slightly different story about the data.
Mean (Average): Sum of all values ÷ count. Good for symmetric data without outliers. Problem: one extreme value (outlier) can distort the mean heavily. Example: if 9 students score 60 and 1 scores 600, mean = 114 — misleading!
Median: Middle value when data is sorted. Robust to outliers. Use median for income data (a few billionaires shouldn't represent "typical" income). If even number of values, median = average of two middle values.
Mode: Most frequent value. Used for categorical data and to find what's most popular. A dataset can have no mode, one mode (unimodal), or multiple modes (bimodal/multimodal).
When to use which: Symmetric data → Mean. Skewed data or outliers → Median. Most frequent category → Mode. For marks/scores: usually mean. For income: usually median. For favourite subject: mode.
Da Mean Median Mode — Syntax
# Formulas: # Mean = Σx / n (sum of all values / count) # Median = middle value (sort first!) # Mode = most frequent value
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