humanitiesplusdesign/breve

Breve

breve's Issues

Feedback link?

special char pills

(Food permit sample data set)
"FoodItems" dimension: After review and assigning delimiter, they stay "hot"
"Schedule" dimension has some gray, some not when opened. Why?

Fix situation in the "About" box

Long dimensions push symbols out of the picture

Make the sizing more flexible?

"Tweet @hdstanford"

http://twitter.com/home/?status=@hdstanford%20

@cncoleman

Use grey background from dimension for the full row

Shows how long the full row is.

Sort by value/frequency is broken again

Beginning of Breve design doc added

You'll see "search" in the new design doc for Breve. I hope the distinctions are clear, too.

One think we'll want to fix soon for Breve-view (actually for AHR's version) is the label "Map gaps and errors". That should be only map gaps.

Support import/export of Data Packages

Breve allows for the assignment of data type per column and immediate validation against those types. This is excellent! However, once the dataset has been cleaned, the only output seems to be the cleaned CSV. I believe this tool would be even more useful if the type information created through Breve were recorded using JSON Table Schema and the data exported as a Tabular Data Package. Likewise, on import, the type information could be automatically set using validation rules expressed via the Data Package format.

A Data Package provides a minimal "container" for transporting any kind of data. It is designed for extension to allow publishers to add additional constraints on the format and type of data and metadata.

Concretely, you can create a Data Package by placing a specially formatted file, datapackage.json, in the directory containing the files that comprise your dataset. Given a dataset called dataset.csv that looks like this:

a,b,c
1,2,3
4,5,6

A very simple example of a datapackage.json that would accompany the unaltered CSV would look like this:

{
  "name": "my-first-dataset",
  "title": "My First Dataset",
  "resources": [
    {
      "path": "dataset.csv",
      "format": "csv",
      "schema": {
        "fields": [
          {
            "name": "a",
            "type": "integer"
          },
          {
            "name": "b",
            "type": "integer"
          },
          {
            "name": "c",
            "type": "integer"
          }
        ]
      }
    }
  ]
}

The data types you support would all be expressible via the JSON Table Schema language using a combination of type, format, and constraints per field:

http://specs.frictionlessdata.io/json-table-schema/#field-descriptors

We're building an ecosystem of tools and integrations that allow the reading of Data Packages in tools already in use today: http://frictionlessdata.io/about/ . We can definitely assist in supporting this integration.

In dimension edit view, values do not appear in the list

A count of values appears as do special characters, but the values themselves do not.

Add metrics download

Quick numbers on total number of records + number of missing values for each field + unique values for each field.

Edit Dimension "Sort" field offers search, too

This should just default to sort by value and give the option to sort by frequency. Instead, a search option pops up.

Default (opening view) should be gaps & errors

Let's not show our full hand. It's more exciting to discover Map by data types

Once a data type has been specified, that should apply to all values in the dimension

If I apply "Unique numeric" to a dimension, I should not see "date" data type assigned to all of the 4 digit numbers when I map by data type.

Edit dimension verify special chars does not filter