forked from extern/nushell
93 lines
9.2 KiB
Markdown
93 lines
9.2 KiB
Markdown
# histogram
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Creates a new table with a histogram based on the column name passed in.
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Syntax: `histogram <column_name> ...args`
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## Parameters
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* `<column-name>`: name of the column to graph by
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* `args`: column name to give the histogram's frequency column
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## Examples
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Let's say we have this file `random_numers.csv` which contains 50 random numbers.
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**Note**: The input doesn't have to be numbers it works on strings too. Try it out.
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```shell
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> open random_numbers.csv
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────┬────────────────
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# │ random numbers
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────┼────────────────
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0 │ 5
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1 │ 2
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2 │ 0
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...
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47 │ 1
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48 │ 1
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49 │ 2
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────┴────────────────
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```
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If we now want to see how often the different numbers were generated, we can use the `histogram` function:
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```shell
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> open random_numbers.csv | histogram "random numbers"
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───┬────────────────┬─────────────┬────────────┬──────────────────────────────────────────────────────────────────────────────────────────────────────
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# │ random numbers │ count │ percentage │ frequency
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───┼────────────────┼─────────────┼────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────
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0 │ 0 │ 8 │ 57.14% │ *********************************************************
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1 │ 1 │ 14 │ 100.00% │ ****************************************************************************************************
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2 │ 2 │ 9 │ 64.29% │ ****************************************************************
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3 │ 3 │ 6 │ 42.86% │ ******************************************
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4 │ 4 │ 3 │ 21.43% │ *********************
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5 │ 5 │ 10 │ 71.43% │ ***********************************************************************
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───┴────────────────┴─────────────┴────────────┴──────────────────────────────────────────────────────────────────────────────────────────────────────
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```
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We can also set the name of the second column or sort the table:
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```shell
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> open random_numbers.csv | histogram "random numbers" probability
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───┬────────────────┬─────────────┬────────────┬──────────────────────────────────────────────────────────────────────────────────────────────────────
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# │ random numbers │ count │ percentage │ probability
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───┼────────────────┼─────────────┼────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────
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0 │ 0 │ 8 │ 57.14% │ *********************************************************
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1 │ 1 │ 14 │ 100.00% │ ****************************************************************************************************
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2 │ 2 │ 9 │ 64.29% │ ****************************************************************
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3 │ 3 │ 6 │ 42.86% │ ******************************************
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4 │ 4 │ 3 │ 21.43% │ *********************
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5 │ 5 │ 10 │ 71.43% │ ***********************************************************************
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───┴────────────────┴─────────────┴────────────┴──────────────────────────────────────────────────────────────────────────────────────────────────────
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```
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```shell
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> open random_numbers.csv | histogram "random numbers" probability | sort-by probability
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───┬────────────────┬─────────────┬────────────┬──────────────────────────────────────────────────────────────────────────────────────────────────────
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# │ random numbers │ count │ percentage │ probability
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───┼────────────────┼─────────────┼────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────
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0 │ 4 │ 3 │ 21.43% │ *********************
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1 │ 3 │ 6 │ 42.86% │ ******************************************
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2 │ 0 │ 8 │ 57.14% │ *********************************************************
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3 │ 2 │ 9 │ 64.29% │ ****************************************************************
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4 │ 5 │ 10 │ 71.43% │ ***********************************************************************
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5 │ 1 │ 14 │ 100.00% │ ****************************************************************************************************
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───┴────────────────┴─────────────┴────────────┴──────────────────────────────────────────────────────────────────────────────────────────────────────
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```
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Of course, histogram operations are not restricted to just analyzing numbers in files, you can also analyze your directories
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```shell
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> ls -la | histogram type | sort-by count
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───┬─────────┬─────────────┬────────────┬──────────────────────────────────────────────────────────────────────────────────────────────────────
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# │ type │ count │ percentage │ frequency
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───┼─────────┼─────────────┼────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────
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0 │ Dir │ 5 │ 4.76% │ ****
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1 │ Symlink │ 28 │ 26.67% │ **************************
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2 │ File │ 105 │ 100.00% │ ****************************************************************************************************
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───┴─────────┴─────────────┴────────────┴──────────────────────────────────────────────────────────────────────────────────────────────────────
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```
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