How To Export Data from Google Data Studio to CSV
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Introduction
Exporting data from Google Data Studio to CSV allows you to manipulate and analyze your reports with ease. Understanding the export process is essential for efficient data management and reporting.
This guide will walk you through the steps needed to export your data. We will also explore how Sourcetable lets you analyze your exported data with AI in a simple to use spreadsheet.
Exporting Data to CSV from Google Data Studio
- To export data from Google Data Studio to CSV, first hover over the chart you wish to export. Click on the three vertical dots located at the top right corner of the chart and select "Export." Alternatively, right-clicking the chart and selecting "Export" achieves the same result. In the export window, you can rename the export file under the Name field and choose CSV as the file type.
- Once you have clicked on the "Export" option, a window will appear allowing you to rename the export file. This is done under the Name field. Ensure you choose CSV as the exported file type to complete the process. This ensures that the data used to create the graphs is exported in the correct format.
- Exporting large tables to CSV from Google Data Studio may take a significant amount of time. This is due to the extensive volume of data being processed. For more efficient handling of large datasets, it is recommended to export to CSV first and then upload the file to Google Sheets. This process tends to be faster.
- Google Data Studio has a limitation of 1 million rows when fetching data from BigQuery. It is generally more efficient to extract data as CSV directly from BigQuery for large datasets. Data Studio is primarily designed as a data exploration tool on top of BigQuery, making direct extraction preferable for extensive data operations.
- Google Data Studio exports only the data used to create the graphs, not images of the charts. This means the exported CSV file will contain the raw data values displayed in the charts. Users should be mindful of this when exporting data for further analysis or reporting purposes.
Steps to Export Data
File Naming and Type Selection
Considerations for Large Tables
Limitation and Best Practices
Exporting Data Tables
How to Export Your Data to CSV Format from Google Data Studio
Step-by-Step Guide to Export Data
You can easily export data from Google Data Studio to CSV. To begin, hover on the chart you want to export and click on the three vertical dots located in the top right corner of the chart.
Once you click the three vertical dots, a menu will appear. Click on "Export" from this menu.
After clicking on "Export," select CSV as the file type. The file will then be exported in CSV format.
Supported File Types
Google Data Studio supports exporting data to three different file types: CSV, Google Sheets, and Excel. CSV is recommended for exporting data that you intend to use with Excel.
CSV and CSV (Excel)
CSV creates a comma-separated text file. CSV (Excel) also creates a comma-separated text file but encodes non-ASCII characters for use in Excel.
Exporting to Google Sheets
The Google Sheets file type creates a new spreadsheet with the exported data stored in Google Drive.
Exportable Chart Types
Data Studio allows exporting data from individual charts. Exportable charts include Pie Chart, Bar Chart, Table Chart, Pivot Chart, and more.
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Google Data Studio Use Cases
Ad-Hoc Reporting |
Google Data Studio facilitates seamless ad-hoc reporting, allowing users to create reports as needed without pre-defined templates. This flexibility supports varied reporting requirements and provides timely insights based on the latest data. |
Dashboard and Report Building |
Users can leverage Google Data Studio to build comprehensive dashboards and reports. These tools integrate data from multiple sources, simplifying the monitoring and analysis processes and enabling data-driven decision-making. |
Data Mashups and Blending |
Google Data Studio excels at data mashups by blending Looker-governed data with data from over 500 sources. This capability allows businesses to generate deeper insights and derive value from diverse datasets. |
Interactive Visualizations |
Create interactive data visualizations with Google Data Studio. These visualizations can update in real-time, helping users tell compelling stories with their data and presenting information in diverse and engaging ways. |
Collaboration and Sharing |
Sharing and collaboration are simplified with Google Data Studio. Dashboards and reports can be shared within and outside the company, facilitating teamwork and external collaborations efficiently. |
E-Commerce Insights |
E-commerce businesses can utilize Google Data Studio to visualize real-time data. Dashboards, such as PPC and Product Performance dashboards, help track essential metrics and optimize operations continuously. |
Marketing Data Analysis |
Marketing and advertising agencies benefit from Google Data Studio by analyzing data from various sources. This capability enhances campaign monitoring and effectiveness, driving better marketing strategies and results. |
Education Reporting |
Education management companies use Google Data Studio to create detailed reports. This functionality supports tracking and analyzing academic performance, resource allocation, and other critical educational data metrics. |
Why Choose Sourcetable Over Google Data Studio?
Sourcetable offers a seamless way to collect all your data in one place by connecting to various data sources. This integration allows for real-time queries and data manipulation within a familiar spreadsheet-like interface, making data analysis more intuitive.
Unlike Google Data Studio, Sourcetable empowers users with a direct and efficient access to databases. This enables immediate and updated insights, crucial for data-driven decision-making. The spreadsheet-like environment reduces the learning curve for new users, enhancing productivity.
Sourcetable's unique strength lies in combining the robust querying capabilities of databases with the simplicity of a spreadsheet interface. This integration ensures that users can perform comprehensive data analysis without switching between multiple platforms.
With Sourcetable, you benefit from real-time data updates, which streamline workflows and improve accuracy. The platform's ability to handle diverse data sources in a single interface sets it apart as a powerful alternative to Google Data Studio.
For a more efficient, intuitive, and integrated data analysis experience, switch to Sourcetable, where real-time insights and ease of use come together seamlessly.
Frequently Asked Questions
How can I export data from Google Data Studio to CSV?
To export data from Google Data Studio to CSV, hover over the chart, click on the three vertical dots in the top right corner, select 'Export', and choose CSV as the file type.
Which individual charts in Google Data Studio can be exported to CSV?
You can export Pie Chart, Bar Chart, Table Chart, and Pivot Chart to CSV in Google Data Studio.
What should I do if I cannot find the export option in Google Data Studio?
If the export option is unavailable, the report editor may have prevented users from exporting data.
Can I export Google Data Studio data to file types other than CSV?
Yes, you can also export data to Google Sheets, Excel, and PDF files.
Is it possible to rename the export file in Google Data Studio?
Yes, you can rename the exported file during the export process.
Conclusion
Exporting data from Google Data Studio to CSV is a straightforward process that enables further analysis and sharing.
By following the steps outlined above, you can efficiently convert your reports into a more versatile format.
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Get insights into your CSV data
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