Quartile calculator
Click to upload or drag and drop
Accepts csv, parquet, tsv and json
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Calculate quartiles and visualize data distribution
The quartile calculator helps you analyze your data by dividing it into four equal parts. It calculates the first quartile (Q1), second quartile (median/Q2), third quartile (Q3), and the interquartile range (IQR). Upload your data file to calculate quartiles and visualize the distribution with quartile markers. This tool helps you understand the spread and central tendency of your data.
Calculate Q1, Q2 (median), Q3, and IQR
Visualize data distribution with quartile markers
Handle large datasets efficiently
Identify data spread and central tendency
How to use the quartile calculator
- Upload data
Upload a data file containing numerical values - Select column
Select the column you want to analyze - View results
View the calculated quartiles (Q1, Q2, Q3) and IQR - Analyze visualization
Examine the quartile markers visualization to understand data distribution
Examples and use cases
Analyzing test scores
Use quartiles to understand the distribution of test scores in a class. Q1 shows the 25th percentile, Q2 (median) shows the middle score, and Q3 shows the 75th percentile.
Example statistics:
- Q1 (25th percentile): 68.6
- Q2 (Median): 74.7
- Q3 (75th percentile): 81.4
- IQR: 12.8
Salary distribution
Analyze salary distributions in a company or industry. The IQR helps identify the typical range of salaries, while outliers indicate unusually high or low values.
Example statistics:
- Q1: $55119
- Q2 (Median): $65804
- Q3: $76362
- IQR: $21243
Product measurements
Quality control in manufacturing by analyzing the distribution of product measurements. Quartiles help identify if products fall within acceptable ranges.
Example statistics:
- Q1: 9.86 mm
- Q2 (Median): 10.00 mm
- Q3: 10.13 mm
- IQR: 0.27 mm
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