Four New Features Added to SEAD Project Spaces

Posted on: 
Aug 19, 2014

We've just added four new features to SEAD Project Spaces that will make managing and working with data easier! As always, let us know what you think and/or if you run into any difficulties by contacting us. 1. Data Import Bookmarklet The data import bookmarklet makes it easy to import data from other sources on the web. All you need to do is visit the "upload" page of your project space. Under "Capture Data from the Web" you'll see a link that you should save as a bookmark in your browser (we recommend saving it to the toolbar so that it's always visible). You can do this by dragging and dropping the link to the bookmark toolbar. Now, as long as you're logged in to your project space, when you see data on the web, you can import directly from the site by clicking on the bookmarklet. You will see options at the top of the web page for "add this URL" (for use when the data are actually on the page) and "add a link" (for use when the dataset is listed as a link on the page). 2. Google Viewer The Google Document Viewer in SEAD expands the list of file types that we support for previewing and scrolling. Where Google preview is an option, you will see the link directly above the preview pane on the dataset information page. 3. Time Series Visualizations of CSV files The time series visualization takes in your csv file and plots one column against all the other columns in the file. When you go to the dataset information page for a csv file, click on the "time series" option above the dataset preview pane. The pull-down menu at the top labeled "x-axis" represents the column picked for the x-axis. By default this will be the first column in your csv file. The visualization tools attempt to detect if this is a date and adjust the labels on the x-axis accordingly. You can pick a different column for the x-axis if this is not the case or if you would like to plot the data in a different way. The legend shows the remaining columns and is interactive. Click any of the legend labels on or off to see only what you're interested in. You'll also see two graphs. In the top graph, hovering your mouse over the lines displays the raw numbers for the points being plotted. With the bottom graph you can zoom into a specific range by clicking and dragging. Then the graph on top adjusts accordingly.

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4. Autocomplete for Tags Consistent use of tags will make your datasets easier to find. As you begin to type a new tag, our new autocomplete feature shows you the list of similar tags that already are in use on your space.

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