Null Finder

Program that takes in a CSV file and outputs a list of potential null-equivalent words in the file.

Intended to be used for uncleaned or semi-cleaned data sets where the different words that may indicate a null value are unknown. Inevitably there is some noise in the results, nonetheless they are rather helpful as a guide to help you clean your data!

Compilation

Simply make in root directory. You will need to clone libcsv and install or compile library's source code (see Dependency).

Usage

./find_null null_file csv_file rows_num

where null_file should be resources/nulls, csv_file is the uncleaned dataset, and rows_num is number of rows of data in the dataset.

Examples

Running on steam_support_info.csv:

COLUMN 1:

COLUMN 2:
<empty>,
COLUMN 3:
N/A, NULL, <empty>,
COLUMN 4:
NA., n/a, <empty>,

No changes were made to this data set; all credits to original author. See link for author & license info.

Running on USVideos.csv:

COLUMN 1:

COLUMN 2:

COLUMN 3:

COLUMN 4:

COLUMN 5:

COLUMN 6:

COLUMN 7:
[none],
COLUMN 8:

COLUMN 9:

COLUMN 10:

COLUMN 11:

COLUMN 12:

COLUMN 13:

COLUMN 14:
True,
COLUMN 15:
True,
COLUMN 16:
<empty>, 

Output

As above, output shows column number (starting at 1) and a list of possible null-equivalent words in that column if any, separated by commas. <empty> indicates a blank field.

Dependency

See libcsv submodule for the libcsv library (license info & source code). This library is NOT MINE in any way; I simply used it in the project.