From the course: Data Science on Google Cloud Platform: Exploratory Data Analytics

Introduction to the charting API - Google Cloud Tutorial

From the course: Data Science on Google Cloud Platform: Exploratory Data Analytics

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Introduction to the charting API

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- [Instructor] I want to show you how to use the Charting API in Datalab in order to build graphs and visualizations. We will do so with data from both BigQuery and Cloud Storage. The exercise file for this, and the following videos in the module, will be available under "05_XX_Visualizations_with_Datalab." First, let me take a look at the Charting API. It can be accessed through the command "%%chart." Doing "--help" on this command shows all the different types of charts that can be created. This includes common types, like bar, line, histogram and pie. You can also do complex charts, like treemap, candlestick, heatmap and org. You can add descriptions, like titles, and also control the size of the charts. Combining charts with data from BigQuery and Cloud Storage provides a unique platform on GCP to do exploratory analysis and share this data with other stakeholders through Notebooks.

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