Welcome to Phase 2.2: Getting Your Real Data!
We have set up our local workspace and explored the basics of web analytics. Now let us connect your live website performance to your local project. In this phase we will focus on getting the actual real user data from your live website www.sankalandtech.com out of Google Analytics 4 GA4. We will put it into a format you can easily use on your own computer. This format is a CSV file.
Think of this as gathering all the raw ingredients of your website performance. Once you have this data right there on your laptop you can clean it up. You can dig into it. You can build custom dashboards without constantly logging into GA4.
Total Control When your data is in a CSV file on your laptop you are in charge. You can use tools like Python with Pandas or SQL to analyze it offline in your own way.
Custom Insights GA4 reports are helpful but sometimes you need to go deeper. You might want to run special calculations or combine data in ways that GA4 does not support. A CSV file gives you that flexibility.
Time Travel for Data You can save snapshots of your data on different dates. This helps you track changes over time or compare performance before and after updates to your website.
Ready for Your Tools The CSV file is what you will use to fill your local database. It is the exact format your Streamlit dashboard will connect to so you can begin your analysis.
Getting your GA4 data into a CSV is simple and can be done directly from the GA4 reporting area. You can choose standard reports or create your own custom explorations to get exactly the data you need.
Step 1 Log In to Google Analytics 4
Visit analytics.google.com and log in using the Google account that has access to your sankalandtech dot com GA4 property.
Step 2 Choose Your Report or Exploration
Decide which data you want to export.
For standard reports click on Reports in the left menu.
Try Engagement then Pages and screens to get page view data.
Or try Acquisition then Traffic acquisition to see where your visitors are coming from.
For more detailed or custom data go to Explore and create a new Exploration report.
Here you can choose your own dimensions like Date Page path or Event name and metrics like Users or Sessions.
Step 3 Set Your Date Range and Filters
Before exporting always check that your date range is correct.
You can also apply filters to see only certain pages devices or user types.
This helps make sure you only download useful data.
Step 4 Find the Export Button
When you are viewing the report or exploration look for the Export icon.
In standard reports this is usually in the top right corner of the table.
In explorations it is in the top right of the canvas.
Step 5 Select Export Data and CSV
Click the export icon and choose Export data.
Then choose the option for CSV.
Sometimes it may say CSV for Excel which also works fine.
Step 6 Save Your CSV File
Your browser will download the file automatically
Save it in a folder that is easy to find
You can create a folder like E:/SankalanAnalytics/ and save the file as ga4_export_data.csv or any name that helps you remember what the data contains
You can repeat these steps for any other GA4 reports or explorations you want to bring into your local project.
For example you might export data for page views user demographics event tracking or traffic sources.
Once all your GA4 data is saved as CSV files on your computer you will be ready for the next step. That is building your local database to hold and analyze this valuable information.
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