![]() The latter allows you to see what fields you have fixed and which ones are still unknown, but must be done manually. You can choose to either amend these issues using Excel methods in the CSV dataset and then reload it in your Tableau workspace, or you can alter the data within Tableau itself. Many of these stem from unclean data, such as cells that list a city and then a neighborhood in parentheses, like “New York (Manhattan),” or counties that have “(county)” after their names. This will fix most of the errors.Įven after this fix, you will see that there are still a number of issues with the City field. Once there, you can set the “State/Province” Geographic role to the “State” field of your dataset. A box will pop up to ask how you would like to rectify this issue. To fix this, click on the gray box listing the number of unknowns. cities with unique names are highlighted. Many of these are because the “City” column does not yet know that it depends on the “State” column, so only U.S. However, if you notice in the lower righthand corner, there is a small gray box indicating “375 Unknown,” meaning that Tableau cannot place 375 of the city names to a location. This will make every city or county where there was a mass shooting between 2013-2017 pop up on the map in equal size and color. To initialize your visualization as a map, drag the automatically generated longitude to the “Columns” line at the top of the page and the generated latitude to “Rows.”Īfter this, drag the “City or County” tab to the “Detail” box under the “Marks” tab. You’ll see that the page lists a number of dimensions and measures on the lefthand column for you to choose from. This is a platform for you to begin visualization. Once you have Tableau set up, open it and click “Text File” under the “Connect” tab to locate the CSV file stored on your computer.įrom there, Sheet 1 should open on the application. ![]() If not, there’s a simple, free download and account setup process for Tableau Public. Hopefully if you are reading this you have already downloaded Tableau or Tableau Public. We can also rename “# Killed” and “# Injured” to be “Victims Killed” or “People Killed” in order to make labels cleaner once we open the data in Tableau. To avoid Excel/CSV warnings about needing to paste the data into cell A1, don’t copy the header row after the first sheet.īecause the entire “Operations” row is N/A, we can delete that from our dataset. The simplest way to do this is just to copy and paste all of the results from each of the files into a single file. Since all the datasets are formatted the same way, they can easily be combined into one larger file. To download the datasets as CSV files, follow the link, click on each year, and click on “Export as CSV” in the top right corner.Ĭombine all datasets into one spreadsheet There are individual datasets tracking mass shootings for years 2013 through 2017, defining mass shootings as incidents where four or more people were shot and/or killed at the same general time and location, not including the shooter. To practice using Tableau’s visualization and filtering capabilities, let’s use the Gun Violence Archive’s shooting tracker datasets which track mass shootings in America. Filtering options are fairly simple to incorporate and extremely compelling. ![]() ![]() Tableau is an incredible tool to use for this purpose. So how can you make effective, interactive maps like these? And how can you make them even more interactive so readers can further explore the data for themselves and discover the stories that are most personal to them? Acquiring data ![]() From Slate’s 2016 “How many people have been shot in your neighborhood this year?” visualization mapping gun-related injuries and homicides, to the Gun Violence Archive’s yearly maps of mass shootings in America, these visualizations tell a chilling tale of where gun violence is most prevalent in the nation. A number of publications and organizations have created impressive interactive visualizations pertaining to gun violence in America. ![]()
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