Commit 7aefc741 authored by Jean-Karim Heriche's avatar Jean-Karim Heriche

Updated README and screenshot.

parent 430edcf3
......@@ -92,7 +92,9 @@ Clicking on the image selects the corresponding row in the data table and highli
* **A data table** area at the bottom of the screen. The data table shows the content of the uploaded data file. A tab allows switching to a second image viewer where images selected under image 2 in the data input section will appear. This second image viewer behaves like the one described above. Clicking on a table row selects it and highlights the corresponding point in the plot. No image is shown when selecting multiple rows. The table is searchable globally using the 'Search' box in the top right corner above the table or by column using the boxes atop each column. Searches filter the rows to be displayed in the table. To select all the rows and highlight them in the plot, click the button labeled 'Show filtered rows in plot' above the table. To deselect all selected rows, click the 'Clear selection' button. To annotate the selected rows, click the 'Annotate selection' button. This is only available if an annotation column has been chosen in the 'Annotate' section.
#### Data annotation
Individual data points, i.e. rows of the data table, can be associated with a label. Annotation starts by visiting the 'Annotate' section (accessible from the sidebar). There, a column to hold the annotations can be selected and labels defined. If an existing column is selected, its distinct values will be available as labels. New labels can also be added. Alternatively, a new column can be created, in which case, new labels must be provided. New labels must be entered as a comma-separated list. Once done, choices must be confirmed by clicking the 'Apply' button. Annotations can then be performed using the 'Annotate selection' button in the 'Explore' section.
#### Dimensionality reduction
To help visualize the overall structure of the data, several numerical variables can be combined into a 2d projection. The numerical columns and method to use can be selected in the 'Dimensionality reduction' section. Application of a dimensionality reduction method results in the creation of two new columns containing new coordinates for all data points. When running the same method multiple times, coordinates columns are re-used (i.e. new columns are not created for each new run). Upon successful completion of the dimensionality reduction, the new columns are automatically selected for plotting and the view switches to the 'Explore' section.
#### Screenshot
<img src="screenshots/image_data_explorer_v0.2.screenshot.png"/>
<img src="screenshots/image_data_explorer_v0.3.screenshot.png"/>
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