Connect Data from Twitter to Chartio
You can get your Twitter data into Chartio 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 Chartio. Our Twitter to Chartio 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 Chartio 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.
Chartio is a great business intelligence tool that helps businesses analyze, review, and track their critical data, such as Facebook Ads data. You can leverage Chartio’s drag and drop interface, or SQL, in order to create in-depth and comprehensive analyses and valuable visualizations of your Facebook Ads data.
Focused on developing a robust interface for data, Chartio helps companies of all sizes make better and smarter business decisions via intuitive and real-time business analytics. The tool is simple to set up and easy to use.
Chartio’s amazing features include a drag and drop user interface that allows you to edit generated queries. Other features include quick visualizations, a single interface for all data sources, filters, funnel visualizations, chart creation on tablets and phones, and drill down and pivots.
Before loading your data into Chartio, 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.
As Chartio is a data analysis and visualization tool, your first step is to find your data. Once you have located your data, you can add it to your Chartio account. All you have to do is navigate to the Data Source tab. You will find it in the top Menu, and from this tab you can easily connect your database to Chartio.
It is quite simple. And the good thing is that Chartio will require read-only access to the database. You can upload your CSV file from your personal computer. And if you are not ready to connect your database to the tool, you can easily leverage Chartio in order to gain valuable insights from the spreadsheets on your computer. You should use the data sources to which you have been given access.
To upload a CSV file as a new data source to your Chartio account, you’ll have to ensure that it’s in a suitable format that Chartio can both read and import in the form of a table. When uploading your CSV data file, you’ll have to verify the date formats and data types that Chartio has auto-detected and then make suitable changes as needed.
After you have uploaded a CSV data file to your account, you may update your data in the following ways:
- Add a new CSV data table
- Replace your existing CSV data table
- Append to your existing CSV data table
If you’re joining your existing Chartio account, it is likely that your data is already connected. You can create interactive dashboards and insightful real-time reports with Chartio’s amazing visual, drag-and-drop interface with no SQL knowledge.
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 Chartio 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 Chartio.