explore_your_own_dataset
Differences
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explore_your_own_dataset [2015/05/11 13:25] venturini |
explore_your_own_dataset [2015/06/18 13:33] (current) venturini |
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| * When the value of "source" is different from the value of "target", then VizAssist interprets this as an edge (example: "Node0" in the source column and "Node1" in the target column means that an edge "Node0->Node1" will be created). | * When the value of "source" is different from the value of "target", then VizAssist interprets this as an edge (example: "Node0" in the source column and "Node1" in the target column means that an edge "Node0->Node1" will be created). | ||
| * When the value of "source" is equal to the value of "target", then VizAssist interprets this as a node (example: "Node0" in the source column and "Node0" in the target column). All nodes should be represented. | * When the value of "source" is equal to the value of "target", then VizAssist interprets this as a node (example: "Node0" in the source column and "Node0" in the target column). All nodes should be represented. | ||
| - | * For trees, the encountered node node is considered as the root | + | * For trees, the first encountered node is considered as the root |
| * The CSV file for a graph contains two contiguous parts: one is about the edges, and the other is about the nodes. | * The CSV file for a graph contains two contiguous parts: one is about the edges, and the other is about the nodes. | ||
| * Columns of type "nodenumeric" or "nodenominal" denote the properties of the nodes (their values are taken into account when "source=target"). | * Columns of type "nodenumeric" or "nodenominal" denote the properties of the nodes (their values are taken into account when "source=target"). | ||
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| * the visualizations in D3 and in a web interface can handle only a limited number of data items, | * the visualizations in D3 and in a web interface can handle only a limited number of data items, | ||
| - | * the loaded dataset should not exceed a few thousands lines (but several hundred of columns seem to be possible), | + | * the loaded dataset should not exceed a 2000 lines and several tens of columns. |
| - | * In the demo files, we limited the number of data items to a maximum of 2000. | + | |
| ===Using other tabular file formats=== | ===Using other tabular file formats=== | ||
| - | The latest version of VizAssist includes a pre-processing for files that would not be in VizAssist format. This functionnality allows you to work directly with other file format: VizAssist tries to automatically convert them to VizAssist format. These files can be loaded from an URL, a file on your computer or with copy/paste in a text box (see the "Load your data" page of VizAssist). This conversion works as follows: | + | The latest version of VizAssist includes a pre-processing step for files that would not be in VizAssist format. This functionnality allows you to work directly with other file format: VizAssist tries to automatically convert them to VizAssist format. These files can be loaded from an URL, a file on your computer or with copy/paste in a text box (see the "Load your data" page of VizAssist). This conversion works as follows: |
| * The file should be in tabular format (cells organized by lines and columns) | * The file should be in tabular format (cells organized by lines and columns) | ||
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| ===Saving the visualizations=== | ===Saving the visualizations=== | ||
| - | Once you have found a convenient visualization, you can save them in SVG format with the Download button. The legends are generally in a separated SVG in VizAssist, so they will not be downloaded in general. | + | Once you have found a convenient visualization, you can save it in SVG format with the Download button. The legends are generally in a separated SVG in VizAssist, so they will not be downloaded in general. |
explore_your_own_dataset.1431343505.txt.gz · Last modified: 2015/05/11 13:25 by venturini
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