numdenom

Converter from CSV files that have particularly named columns into interactive HTML tables.

Example

$ cat sample.csv
a,b,x_num,x_denom,y_num,y_denom
qqq,t0,3,4,2,5
qqq,t1,3,5,1,2
qqq,t2,1,3,0,6
qqq,t3,4,4,2,4
qqq,t4,0,3,2,9
www,t0,0,0,3,3
www,t1,0,0,3,4
www,t2,0,1,4,4
www,t3,0,0,2,3
www,t5,1,1,4,5
$ ./numdenom.py sample.csv sample.html

Algorithm

1. Read a CSV file and divide all its columns in two types: filter columns and value columns.
2. Value columns are pairs of columns named x_num and x_denom. They should only contain numbers. Filter columns are all columns not named like *_num or *_denom. Alternatively, there can be just x_num and a common, shared denom column. In the latter case the denom column becomes N column in the output table.
3. Output a HTML file that contains input file in a compressed form, along with some JavaScript code. The file is self-contained and can be opened using file:// links.
4. Within the generated page, render all filter columns as combo-boxes on the left side. Each change of the filter settings recalculate the table.
5. For each value column, calculate the cell value by summing all _num values, then dividing it by the sum of _denom values. Rows not matching the filter settings are excluded from the sums. Special filter setting value _COL promotes filter column to show all its values separately as individual rows.

Value columns are sorted lexicographically. Content of filter columns is also sorted lexicographically. Order of the columns or rows within the CSV file does not matter.

Additional features

• Cell values are subtly colorised to indicate where the value stands from column minimum to column maximum. Checking the checkbox near value column's name makes colorisation bright instead of subtle.
• When filtering some rows out, percentage above value column headers indicates share of remaining denominators.
• When _COL mode is used, averages are displayed at the top.
• Tool-tip shows specific aggregated numerators and denominators for each cell.
• Dark theme is supported (should trigger automatically when needed).
• You can set minimal denominator value to hide cells where aggregated denominator is too low.
• You can use URL fragment specifier like #b=_COL to provide initial filter settings (and other settings). URL fragment is updated automatically when you change settings.
• There is a feature to quickly display a chart of some column.
• Source CSV data can be extracted from the page.
• You can include additional information into the table as a collapsible section.
• Special _CHK mode to select multiple filter values using checkboxes.
• Special _DIST mode to see distribution of N (i.e. denom) as columns.

Limitations

• Data is assumed to be not big enough. All rows are iterated every time you click on some setting on the page, so the more data you have, the bigger and slower would the resulting html be. Megabyte-sized files do work reasonably well though.
• Data are assumed to be reasonable, e.g. filter values should not be literally _COL or *. Quotation marks or commas can lead to problems with CSV round-trip.
• Missing value numbers are turned into 0s.
• Additional command line arguments (table title and description file) are assumed to be trusted. You can include raw HTML there.
• In _DIST mode it would be a mess if you select multiple _DIST filters and their values do intersect.

Building and running.

You can download a pre-built numdenom.py from Github releases. The script is self-contained and is expected to depend only on Python's standard library.

Building numdenom.py requires Make and Typescript to be available and is performed by running make in the source code directory.