Youtube Analytics Channel Visualization Results Using Google Data Studio and Klipfolio

Demonstrate the power of Big Data Analytics using Google Analytics as a platform work flow. First open the YouTube channel, then start recording of the channel analytics is done here automatically by Google. This data is exported from YouTube Analytics to Google sheets and then is fed to Google Analytics. After analyzes the data, it is now integrated with Google Data Studio and Klipfolio. Google Data Studio makes use of AI (Artificial Intelligence) insights techniques that can generate artificial intelligence and prediction-based report graphs which can be analyzed by the end user. In the future, not only YouTube, but any Google products or Google service data can be fed to Google Analytics and integrated in Google Data Studio for artificial intelligence based on Big Data Analytics.


INTRODUCTION
Big data deals with data sets that are too large or complex to be dealt with by traditional dataprocessing application software.Traditional databases offer greater statistical power, while data cubes and data with higher dimensions may lead to a higher false discovery rate.Big data includes capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source, these are some attributes of big data.Big data has the following characteristics like volume, variety, and velocity.Therefore, big data involves data with sizes that exceed the capacity of traditional software to process within an acceptable timeand value.Big Data analytics, refer to the application of analytics principles to Big Data, to make better business intelligence and proper result outcomes from the examined data or data sets.on the Google platform.In the literature view, the boom for market due to Big Data Analytics is reviewed.Also, how Google Analytics products are making these dreams come true.The literature on the recent Hadoop platform, by Google is also discussed.Using these technologies, Big Data Analytics is possible in a simpler and efficient way.

Review of literature,
Problem definition, The data analytics here, is restricted to Google account holders and those who want the analytics of the Google data.
Therefore, in this project, we aim to implement the big data analytics principles to a sample big data platform based on YouTube.
Scope of the problem, In the present scenario only YouTube Analytics is discussed, where the users need a Google and YouTube account.

System Block Diagram
As explained in the figure 3.0, first we go to YouTube, then click YouTube Studio, after that click Analytics to see the Channel analytics.Then we export this data into Google Analytics in the form of Google sheets.This is given as input to Google data studio, where the AI analytics report is generated.Make AI analytics to generate graphs and analytics report finally.Some data was also accessed through a third-party service (30.8%), that was acquired earlier and the remaining was related to subscriptions.

CONCLUSION
The activities history of the entire YouTube analytics data were included.Then all the data imported to Google Data Studio through Google Analytics.Then through AI (Artificial Intelligence) work and insights, the corresponding reports on YouTube analytics was created and analyzed using Google Data Studio.Future work, Google Data Studio is a very powerful tool, using it not only YouTube, but any Google product and Supported platforms.Data can be analyzed and the result of corresponding AI insights reports can be created.That is the future scope and the usefulness of this experiment.

Figure 2 .
Figure 2. Shows the Data on Google Sheets

Figure 4 .
Figure 4. My YouTube Channel Google Analytics and Google Data Studio When the YouTube data is fed into Google Analytics platform, figure 5., is the first analytics that Google shows.It shows my lifetime history, the various traffic modes that we used to view the videos and the various impressions from the audience.

Figure 8 .
Figure 8. YouTube Analytics Subscribers Report On the figure 9., most of the traffic source statistics were related to YouTube API's available.

Figure 11 .
Figure 11.YouTube Analytics Views by Device Types Report On the figure 12. it have shows that how YouTube data can be views by playback location over time (daily).Here the result can be seen.

Figure 12 .
Figure 12.YouTube Analytics Playback Location Report On this figure 13. shows how YouTube data was also viewed by typical views like from Live streams, Videos that i uploaded and Shorts.The statistical data is shown for Top performing videos and Bottom performing videos.

Figure 13 .
Figure 13.YouTube Analytics Typical Views Report The literature is based on IEEE papers that deal with Big Data Analytics Youtube Analytics Channel Visualization Results Using Google Data Studio and Klipfolio, Tangang Qisthina Handayani Zatadini, Achmad Farid Wadjdi, I Made Wiryana, Cahya Maharani Badzlina Zataamani 10915