Connect Data from Twitter to Excel Power Query
You can get your Twitter data into Excel Power Query to make more informed business decisions. This simple and quick guide gives you easy instructions on how you can extract your data from Twitter and then analyze it in Excel Power Query. Our Twitter to Excel Power Query connector allows you to access your Twitter data so you can easily manage various media objects, view metadata, and comments, and get reliable insights and metrics, such as reach, impressions, follower-like ratio, and likes. Integrate your Twitter with Excel Power Query to turn your Twitter data into actionable insights.
Twitter is a popular online social networking as well as news service. It enables users to read, post and send short messages (140 characters in length) called "tweets". People frequently post Tweets, which can contain photographs, links, videos, and text. Note that these messages are posted to your Twitter profile, sent to your Twitter followers, and are also easily searchable on Twitter search. Although registered users can both read and post tweets, unregistered users only have access to read.
Twitter allows its users access through the website interface, the mobile app, and SMS. Twitter also allows marketers and business brands to advertise on its incredibly popular platform. You can capture data about popular retweets, content, social shares and a lot more for advanced analytics.
Power Query is a great Excel add-in that you can use for data discovery, combining data coming from multiple sources and reshaping your Facebook Ads data. It is an add-in that was introduced in MS Excel 2013 by Microsoft. When you get your data from a file, an external data source, or a data dump/import it comes into MS Excel in a messy and unworkable format.
Excel Power Query is a great way to access, clean and transform all that messy data and then display it in a way that MS Excel prefers and can work with. Power Query also allows you to search and discover valuable data across the enterprise or from several public data sources that are available online and from a variety of other data sources.
Before loading your data into Excel Power Query, you will have to prep it first. If you don't already have a data structure in which to store the data you retrieve, you'll have to create a schema for your data tables. Then, for each value in the response, you'll need to identify a predefined datatype (INTEGER, DATETIME, etc.) and build a table that can receive them.
Twitter's documentation should tell you what fields are provided by each endpoint, along with their corresponding datatypes. Complicating things is the fact that the records retrieved from the source may not always be "flat" – some of the objects may actually be lists. In these cases you'll likely have to create additional tables to capture the unpredictable cardinality in each record.
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Note that Twitter makes its data available to its users through its Standard search API. This API offers data on several things, such as ad insights, estimated positions, estimated bids, and many other types of data.
The first thing that you have to do is import your data. All you have to do is go to the Data tab and then press the Get Data command. Now choose From File and in the resulting menu choose from Workbook. You will now see a file picker menu, and you can navigate to the MS Excel file with the data that you would like to import.
Once you have selected the file that you want to import, you will be presented with a Navigator window. The window will allow you to select the relevant sheets from your workbook which contains the data you want to import. You can see a preview of the data on the right-hand side when you are selecting the sheets. If your workbook has more than one data sheet, which you wanted to import, you can easily select more than one sheet using the Select multiple items checkbox.
Note that this will create a separate query for each sheet that you have selected. This will save you from going through the first couple of steps individually. You can now either choose to Load your data or Edit it. Keep in mind that if you decide to load the data, then it would load into an Excel Table without any transformations applied. You can also edit the data, and this is where you will be able to apply your data cleaning transformations.
Keeping data up to date
The key is building your script so that it can sense incremental updates made to the data. Thankfully, Twitter’s Standard search API results include fields so that you can identify those records which are new since the last update you made (or since the most recent record you have copied). Once you have taken new data into consideration, you can easily set your script either as a continuous loop or cron job to pull down new data as soon as it appears.
The Easiest And Fastest Way To Do It
If all this sounds a bit overwhelming, don't worry -- there is an easier way to get this done!
Thankfully, products like Improvado were developed to move data from Twitter to Excel Power Query automatically. Using Improvado, you can easily combine the most crucial and relevant data from your ad campaign into a dashboard. You can then connect this data to Excel Power Query.