How to connect KAWO to R

Discover how to get data from KAWO (and from other sources) into R by locating it into your data warehouse that is connected to R.
Load your KAWO data into your central data warehouse to analyze it with R.
To analyze KAWO data with R, Pipes provides you with fast and easy access to all your data by automatically loading it in your data warehouse. Always up-top-date, no performance issues, without writing a single line of code.
1

Connect your data warehouse

It will be the central database for your KAWO data. Pipes supports the most popular relational data warehouses in the cloud and on-premises.
2

Connect to KAWO

You just need to enter the associated credentials to allow Pipes access to the KAWO API.
3

Create a data pipeline

Create a pipeline from KAWO to your central data warehouse. The pipeline will run automatically on your defined schedule, so you will always have fresh data available.
4

Access your KAWO data with R

Connect R to your data warehouse. You will see your KAWO data there in form of standardized tables. Now you can analyze your data without performance issues!

About KAWO

KAWO is a platform for brands & agencies to manage all of their Chinese social media accounts in one place. Founded in Shanghai, China in 2013, KAWO is the built in China for China solution used by global brands to manage their WeChat, Weibo, Douyin & Kuaishou.

About R

R is a software environment and programming language supported by the R Foundation for statistical computing and for statistical graphics and computing. Data miners and statisticians use the language R for developing statistical software. Source code for the R software environment is primarily written in Fortran, C, and R.

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