기술 통계
기술 통계 및 데이터 요약 이해
Interactive Descriptive Statistics Visualization
Welcome to the Descriptive Statistics Explorer
This interactive visualization helps you understand descriptive statistics including measures of central tendency, measures of spread, and data visualizations. Explore how different statistics describe your data.
What you can explore:
- Central Tendency: Mean, median, mode
- Spread: Range, variance, standard deviation, IQR
- Visualizations: Histogram, box plot, scatter plot
- Distribution Shape: Skewness and distribution characteristics
How to Use This Visualization
Interactive Features:
- • Enter Data - Input comma-separated values
- • Select Visualization - Choose histogram, box plot, or scatter plot
- • Adjust Bins - Control histogram granularity
- • View Statistics - See all calculated measures
What You'll See:
- • Histogram - Frequency distribution with mean line
- • Box Plot - Five-number summary visualization
- • Scatter Plot - Data points with mean line
- • Statistics Panel - All calculated measures
Enter numbers separated by commas. Current: 14 data points
Measures of Central Tendency
Mean (x̄)
8.500
Average value: Σx / n
Median
8.500
Middle value when sorted
Mode
2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0
Most frequent value(s)
Measures of Spread
Range
13.000
Max - Min
Variance (σ²)
16.250
Σ(x - x̄)² / n
Std Dev (σ)
4.031
√Variance
IQR
7.000
Q3 - Q1
Five-Number Summary
Minimum
2.00
Q1 (25%)
5.00
Median (50%)
8.50
Q3 (75%)
12.00
Maximum
15.00
Additional Statistics
Sample Size (n)
14
Skewness
0.000
Approximately symmetric
Key Concepts
Mean: Average of all values. Sensitive to outliers.
Median: Middle value when data is sorted. Robust to outliers.
Mode: Most frequently occurring value(s).
IQR: Interquartile Range (Q3 - Q1). Measures spread of middle 50% of data.
Visualization Types
Histogram: Shows frequency distribution. Bars represent frequency in each bin.
Box Plot: Shows five-number summary. Box represents IQR, line is median, whiskers extend to 1.5×IQR.
Scatter Plot: Shows individual data points. Useful for seeing distribution and outliers.
수업
개별 학습 단위
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