Best Tools for Data Analysis to Buy in October 2025
Statistics: A Tool for Social Research and Data Analysis (MindTap Course List)
Data Analytics Essentials You Always Wanted To Know : A Practical Guide to Data Analysis Tools and Techniques, Big Data, and Real-World Application for Beginners (Self-Learning Management Series)
Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists
Advanced Data Analytics with AWS: Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources (English Edition)
Univariate, Bivariate, and Multivariate Statistics Using R: Quantitative Tools for Data Analysis and Data Science
Spatial Health Inequalities: Adapting GIS Tools and Data Analysis
A PRACTITIONER'S GUIDE TO BUSINESS ANALYTICS: Using Data Analysis Tools to Improve Your Organization’s Decision Making and Strategy
- HIGH-QUALITY USED BOOKS AT AFFORDABLE PRICES.
- COMPREHENSIVE CONDITION GRADING ENSURES RELIABILITY.
- ECO-FRIENDLY CHOICE: REDUCE WASTE, PROMOTE SUSTAINABILITY.
Data Analysis with LLMs: Text, tables, images and sound (In Action)
A Web Tool For Crime Data Analysis: Data Analysis - A Machine Learning Algorithm Approach
Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git (Addison-Wesley Data & Analytics Series)
To create reports in GA4 (Google Analytics 4), you can follow these steps:
- Start by logging into your GA4 account.
- Once you are logged in, select the appropriate property for which you want to create a report.
- In the left navigation panel, click on "Explore" to access the Analysis section.
- You will be directed to the Analysis Hub, where you can see the existing reports.
- To create a new report, click on the "New Analysis" button.
- In the "Data Source" section, select the desired data source for your report. You can choose between "App + Web" and "Web" data streams.
- After selecting the data source, you can now apply different dimensions and metrics to your report. Dimensions represent the attributes or characteristics of your data, while metrics are quantitative measurements.
- By default, you will see the 'Explorer' analysis type. You can select other analysis types like 'Funnel', 'Path', 'Segment Overlap', etc., to suit your reporting needs.
- Customize the report by adding filters, segments, and comparisons. Filters allow you to narrow down the data based on specific conditions. Segments help you analyze specific subsets of data. Comparisons allow you to compare data across different dimensions.
- Use the drag-and-drop interface to drag the desired dimensions, metrics, and filters to the corresponding sections.
- You can adjust the time range for your report at the top of the page to analyze data over specific periods.
- As you build your report, you can visualize the data using different chart types like line charts, pie charts, tables, etc.
- Click on the "Save" button at the top-right corner of the page to save your report for future use.
- You can also share the report with others by clicking on the "Share" button and entering the email addresses of the recipients.
- To access and view the saved reports later, click on the "Reports" tab in the Analysis Hub.
By following these steps, you can create customized reports in GA4 to gain insights into your website or app's performance.
What is a dimension in GA4 reporting?
In GA4 reporting, a dimension is a descriptive attribute or characteristic of the data that helps analyze and segment the metrics. It provides additional context to the metrics and allows for a deeper understanding of the data. Some common dimensions in GA4 reporting include:
- Device: This dimension categorizes data based on the device used, such as a desktop, mobile phone, or tablet.
- Traffic source: It provides information about where the traffic is coming from, such as organic search, paid search, social media, or referral.
- Geo: This dimension captures the geographical location of the user, including the country, region, or city.
- User type: It distinguishes between new users and returning users.
- Page: This dimension identifies specific pages on the website or app.
- Campaign: It tracks the performance and attribution of different marketing campaigns.
- Event name: It refers to specific events or actions taken by the user in the app or on the website.
Dimensions are essential for slicing and analyzing the data from different perspectives to gain insights and make informed decisions.
How to schedule automated reports in GA4?
As of September 2021, Google Analytics 4 (GA4) does not have a built-in feature to schedule automated reports. However, you can still achieve this functionality by utilizing the Google Analytics API and other tools like Google Apps Script or third-party applications.
Here is a general approach you can use to schedule automated reports in GA4:
- Create a service account: Set up a service account using the Google Cloud Platform (GCP) Console. This will allow you to programmatically access GA4 data.
- Enable the Reporting API: Enable the Google Analytics Reporting API for your project in the GCP Console. This API provides programmatic access to your GA4 data.
- Develop your script: If you prefer to use a programming language like Python or JavaScript, you can write a script that leverages the Google Analytics API to fetch the data you need. You'll need to authenticate using the service account credentials.
- Use Google Apps Script (optional): If you prefer a more beginner-friendly option, you can use Google Apps Script to automate the process. Write a script in Google Apps Script that utilizes the GA4 API to fetch the data and send it via email or save it to Google Drive.
- Set up a cron job (optional): If you want to schedule the script to run automatically at specific intervals, you can set up a cron job on a server or use third-party solutions like Zapier or Integromat.
- Determine report requirements: Define the specific metrics, dimensions, and filters you need to generate the desired reports. This will depend on your specific use case and reporting needs.
- Generate and distribute reports: Once your script is set up, run it manually initially to ensure everything works as expected. If using Google Apps Script, you can configure the script to send an email or save the report to Google Drive automatically. Alternatively, if using a cron job or third-party solution, set up the necessary actions to distribute the reports as desired.
Remember to abide by Google Analytics' policies and terms of service when accessing and distributing data.
Please note that as GA4 matures, Google may introduce native scheduling and automated reporting features, so it's always a good idea to check the latest updates and documentation from Google.
What is GA4 reporting?
GA4 reporting refers to the reporting interface and features provided by Google Analytics 4 (GA4), which is the latest version of Google Analytics. GA4 reporting offers powerful and enhanced analytics capabilities compared to the previous Universal Analytics version. It provides more data insights, tracking options, and data visualization tools to help businesses understand and analyze their website or app performance in greater detail. The GA4 reporting interface includes several features such as real-time data reporting, advanced machine learning-powered insights, cross-device tracking, event-based tracking, and more.