ssi-dk / beone-dashboard Goto Github PK

It should be possible to associate values with colors, both in the tabular overview and in the graphic components.

Perform a basic test of the installation procedure described in the README file.

Leaflet + React Leaflet?
Open Street Map?

Save tree image as .png
See example.

It should be possible to filter fields on values.

For numeric values, we can have all of these operators: ==, !=, <, > <=, >=.

For text values, we can have ==, !=, in , not in

It would probably be nice to have filtering on id's also using in , not in , so we can import a list of id's simply by copy-pasting it into a text field.

A basic epicurve component with a flexible timeline as the x axis and user selectable data fields on the y axis.

If an items is present in the tree but not it sample files or vice versa it should be marked with a special color.

Use output from ReporTree as input.

https://github.com/insapathogenomics/ReporTree

The tree should have some settings so the user can adjust its appearance, for ex. in relation to coloring and tree type.

The tree view should be able to show distances taken from the Newick file.

Form feedback:
In the section: Install dependency packages
Make sure to add that it is necessary to cd into the repository directory.

Make it possible to connect arbitrary data fields from the JSON files to the tablular data view.

Form feedback:
Users get stuck with npm install. @finngl
An option could be find the requirements with npm list to show the installed packages in the current project as a dependency tree.

When a sample is selected in the data view it should automatically be show as selected in the tree and vice versa.

Form feedback:
For now the instructions are windows based, but I think it would be nice if there would be a manual for all supported platforms.

Form feedback:
Give the selected field a colored background or outline, so that its more clear which field is currently selected when you filter on multiple fields.

Make it more clear what part is clickable to initiate the filtering, for example create a button out of the text, or underline it with a border.

Allow user to adjust the size of each of the fields to their own likings (the field editor part of the website was relatively small at first, but expanded in size when the user opened the details of the test data).