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https://github.com/backplane/avg
writes a summary of numeric data
https://github.com/backplane/avg
Last synced: about 2 months ago
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writes a summary of numeric data
- Host: GitHub
- URL: https://github.com/backplane/avg
- Owner: backplane
- Created: 2021-12-31T10:49:27.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-03-02T13:40:19.000Z (almost 2 years ago)
- Last Synced: 2024-08-02T15:47:36.699Z (5 months ago)
- Language: Go
- Size: 11.7 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# avg
utility which reads lines from the standard input and writes a summary of the numeric data found therein
It was inspired by the pandas ["DataFrame describe"](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.describe.html) method.
## Output
This is an example of the output generated when the input is the sequence of numbers from 1 to 10:
```
count: 10
sum: 55
min: 1
max: 10
mean: 5.5
median: 5.5
stddev: 2.872281
iqr: 4.5
25%: 3.25
50%: 5.5
75%: 7.75
95%: 9.55
99%: 9.91
```
## Usage
This text is displayed when the program is invoked with the `-h` or `--help` arguments:
```
usage: avg [-h|--help]
This utility reads lines from the standard input and writes a summary of the
numeric data found therein.
-findall
find all numbers on each input line, rather than just the first
-template string
the template to use when printing the summary (in golang text/template format)
```
## Output Format
The program uses the go [text/template package](https://golang.org/pkg/text/template/) to generate its output report. You can override the output format using the `-template` option. This is the default template used:
```
count: {{len .Numbers | printf "%d"}}
sum: {{Sum .Numbers | TrimZeros}}
min: {{TrimZeros .Min}}
max: {{TrimZeros .Max}}
mean: {{Mean .Numbers | TrimZeros}}
median: {{Median .Numbers | TrimZeros}}
stddev: {{StdDev .Numbers | TrimZeros}}
iqr: {{Iqr .Numbers | TrimZeros}}
25%: {{Percentile .Numbers 0.25 | TrimZeros}}
50%: {{Percentile .Numbers 0.5 | TrimZeros}}
75%: {{Percentile .Numbers 0.75 | TrimZeros}}
95%: {{Percentile .Numbers 0.95 | TrimZeros}}
99%: {{Percentile .Numbers 0.99 | TrimZeros}}
```
The template is named `summary` and it has the following data items available:
* `.Numbers` - a pre-sorted slice of numbers in float64 format
* `.Min` - the value of the first item of the Numbers slice (smallest value)
* `.Max` - the value of the final item of the Numbers slice (largest value)
* `.Count` - the number of items in the Numbers slice in integer format
Additionally, the following functions are available to the template:
* `Iqr` - inter-quartile range (absolute value of difference between 25th and 75th percentiles)
* `Mean` - simple mean or "average" (sum of values divided by count of values)
* `Median` - value of the middle item in a sorted slice if there are an odd number of elements OR the mean of the middle pair if the slice has an even number of elements
* `Percentile` - the value of the member at the given percentage into the slice, includes fractional adjustment to final value (argument is a float64; the 25th precentile is available with the argument `0.25`)
* `StdDev` - standard deviation (note: it assumes the slice represents the entire population, not a population sample)
* `Sum` - the sum of all values in the slice
* `TrimZeros` - starts with `%f` and trims trailing zeros and trailing decimal point. This is similar to `%g` but will **not** express extreme values in exponential notation.
You may use backslash-quoted special characters like `\n` within the template.