https://github.com/hungrybluedev/statistics
An easy to use Statistics library in Java.
https://github.com/hungrybluedev/statistics
Last synced: about 2 months ago
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An easy to use Statistics library in Java.
- Host: GitHub
- URL: https://github.com/hungrybluedev/statistics
- Owner: hungrybluedev
- License: mit
- Created: 2020-03-01T09:04:49.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-05-09T18:46:12.000Z (about 2 years ago)
- Last Synced: 2025-02-14T18:36:24.999Z (4 months ago)
- Language: Java
- Size: 32.2 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 📈 Statistics
  [](https://app.codacy.com/manual/hungrybluedev/Statistics?utm_source=github.com&utm_medium=referral&utm_content=hungrybluedev/Statistics&utm_campaign=Badge_Grade_Dashboard)
## ✨ Introduction
An easy to use Statistics library in Java. It is meant to be as general as possible yet retain the usability and clean implementation.
## 🛠 Minimal Usage Example
```java
SampleBuilder builder = new SampleBuilder("Runtimes", "s");
for (int i = 0; i < ITERATION_LIMIT; i++) {
long timeStart = System.currentTimeMillis();
// The code to be timed goes here.
new BigInteger(1024, 2048, new Random());
long timeEnd = System.currentTimeMillis();
builder.addObservation((timeEnd - timeStart) / 1000.0);
}
Sample runtimes = builder.buildSample();
System.out.println(runtimes);
```
Output of the code will be something like:
```none
0.121 s
0.147 s
0.22 s
0.115 s
0.084 s
0.025 s
0.353 s
0.209 s
0.021 s
0.223 s
...
0.015 s
0.521 s
0.03 s
0.017 s
0.036 s
Summary Statistics for Sample: Runtimes
Count : 50
Sum : 4.757 s
Mean : 0.095 s
Variance: 0.011 s
Std Dev : 0.106 s
```
## 🔄 Status
Currently it is pre-alpha software. There _will_ be breaking changes as we move forward.
## Versions
### 0.0.1
The first exposure to Code Review was in [this post](https://codereview.stackexchange.com/questions/238062/statistics-library-with-sample-samplebuilder-and-tests). I realised that there are significant architectural changes that have to be made to make the code better.
The JavaDoc for Statistics v0.0.1 - [HungryBlueDev.in](https://hungrybluedev.in/docs/Statistics/0.0.1/)
## 📝 To Do
1. Make Sample completely immutable.
2. Replace the idea of state variables with initial parameters during sample build time.
3. Incorporate the use of Persistent Data Structures to improve performance.