Analyze your Twitter data in R
Getting your data from Twitter to R can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.
With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both Twitter and R with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.
It’s that simple: Unblock your data with Panoply.
How it works
Automatically sync and store the data you want with table-level control.
See the Twitter data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with Twitter in minutes
On Twitter’s social media platform, individuals and enterprises share photos and talk about almost anything they want to in 160 characters or less. Posts can include links to items for sale and to e-commerce or other websites. The platform collects data on views, likes, shares, clicks, and overall audience engagement. Sales aren’t the only way that businesses can benefit from their Twitter accounts. Analysis of Twitter engagement data can provide important marketing insights for planning campaigns targeted to specific demographics.
If you collect, process, and analyze Twitter data to grow your business, an enterprise-level ETL + Smart Data Warehouse can make the most of that data while keeping it safe. The one-click Panoply integration connects your Twitter account to a powerful, fast, and secure cloud data pipeline. With Panoply, you can automatically combine all your data sources with your Twitter data and connect to more than 100 BI tools for big-picture analysis.
Learn more:
Documentation
Twitter Data Warehousing
Twitter Business Intelligence
Other connectors with Twitter
Integrate with R in minutes
Let’s face it: R may be your preferred way to do to perform machine learning and analytics. It has everything: dplyr, gglot, and shiny—maybe your own packages. But your business users just can’t hang. Supporting both is no problem with Panoply. We make it easy to sync data from 30+ data sources to multiple analytics tools, no code required.
Along with eliminating tedious setup and maintenance, Panoply’s built-in storage makes your queries faster, your pipelines more robust, and ensures that all your reporting is based on a single source of truth. Don’t choose between R and the BI tool your coworkers rely on—power both with Panoply.
Learn more:
Documentation
Other connectors with R
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