debruine / ddcreator Goto Github PK

.Rdata for the "fixed up" file
.csv of the data dictionary
Readme human form
JSON format

Tables disappear after editing. This is a bug.

In Category Labels tab, let user add or delete factor levels

Set drop-down menu in category labels tab to only show factors. Update when variable types are changed.

Fix sort order for variable labels when numbers are read as characters

put sections into separate files

Figure out how to scope the data for saving attributes back to the file.

#2 related to this issue. @ajhmohr

unique_desc <- unique_vals
# TODO: get unique_desc from attributes if they exist

Currently we pulling from the raw data and then saving in attribute_storage. This resets to raw data if you change columns and come back (re-editing). Instead we should populate attribute_storage on the raw data load, and pull the levels tables from attribute storage to edit.

So function that takes attribute storage and turns it in to the attributes for the original data to create .Rdata output (which can be used for json, etc.).

Scrape metadata from SPSS data and add to the default displays for description in the variables table and value labels in the category labels table.

• Add code to write out edited label table to variable label attributes (that match haven attributes)
• Add code have the table grab any existing attributes and pre-populate the label table with them

Change the levels to print in the variable table only for factors.

Change the min and max to display for integer/numeric variables.

Add button and read in for SPSS