By Laura Boudreau-Munroe, NGV staff writerThe average amount of data you collect from Facebook is a big deal.
But, as a data scientist, the data you create is your biggest contribution.
Here’s how you can make the most of it.1.
Don’t rely on a spreadsheet and don’t rely entirely on an Excel spreadsheetYou can make a good Excel spreadsheet for Facebook data, but you’ll likely have to create some extra variables for Facebook analytics, as Facebook only allows you to do this for your own data.2.
Use Facebook’s custom toolsFor the most part, Facebook’s analytics tools are pretty straightforward.
Just fill out the required fields, and then Facebook’s data science experts will work with you to create custom data visualization templates that will help you with your data visualization.3.
Choose a metricYou can create data visualization charts that use Facebook data metrics to analyze the data, and that can be very helpful in understanding what’s happening in your audience.
You can then use those charts to create charts that tell a story that better aligns with the content you’re presenting.4.
Use custom tools to get data visualization metricsYou’ll need to figure out the type of data that you want to use for your Facebook data visualizations.
Some Facebook data analysis tools will allow you to select multiple metrics and then share them among multiple people or groups.
Others will let you select multiple data types, like Facebook Likes and Likes from users, and Facebook Connections and Connections from Facebook users.
There are also tools that let you import data from other sources, like Flickr or other social networks.5.
Create a Facebook data-visualization templateFacebook data visualization tools aren’t perfect, but they can be a good starting point.
And once you create a template, you can quickly get to work.1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |