Paginated reports different values but not for all categories

[savulesc]

So, I was trying to replicate a matrix visual from a report to a paginated report so I can use Python to import the data in a database.

I have one column(categories) and 3 measures. The measures shows different values from the live report, but the weird thing is that this thing is not happening for all the categories. What could be the reason for this?

Is there a better way to import data from PowerBi to a mysql db without using excels?

[SaiTejaTalasila]

Hi @savulesc ,

If you have a fabric capacity then you can use semantic link.

https://learn.microsoft.com/en-us/fabric/data-science/semantic-link-overview

Thanks,

Sai Teja 

[hackcrr]

Hi, @savulesc 

Data Refresh Issues: Ensure that the data is refreshed in both the paged and live reports at the same time. If one report refreshes and the other does not, data discrepancies may occur.
Filter Context: Verify that the filter context is the same in both reports. Filters applied in Power BI (report-level, page-level, or visual object-level filters) may not be applied in the same way to paged reports.
DAX Indicators: Check the DAX indicators used in both reports. Ensure that they are defined and used in the same way. subtle differences in DAX calculations may lead to different results.
Data Model Differences: Confirm that both reports use the same data model. Differences in relationships, hierarchies, or calculated columns may result in differences.
Data Aggregation: Ensure that the data aggregation in the paged report matches the aggregation in the Power BI Matrix visual object. Different aggregation methods may lead to different results.
Pagination report design:
Check the design and layout of the paging report. Ensure that the report is configured correctly to display the metrics and categories as expected

Instead of using Excel as an intermediary, you can use a variety of methods to import data directly from Power BI to MySQL:
Use the Power BI REST API to export data from Power BI and then import it into MySQL.This method requires programming knowledge but provides flexibility and automation.
Use Python to connect to Power BI and MySQL. libraries such as pandas, pyodbc, and sqlalchemy can help with this process. You can use Python to retrieve data from Power BI and then insert it into MySQL.

import pandas as pd
from sqlalchemy import create_engine

# Retrieve data from Power BI
# This step depends on your Power BI setup, e.g., using Power BI REST API or exporting to CSV

# Example: Load data from CSV
df = pd.read_csv('path_to_your_csv_file.csv')

# Connect to MySQL
engine = create_engine('mysql+pymysql://username:password@host/dbname')

# Insert data into MySQL
df.to_sql('your_table_name', con=engine, if_exists='replace', index=False)

Use ETL (Extract, Transform, Load) tools such as SSIS (SQL Server Integration Services), Talend, or Apache Nifi to automate the process of data transfer between Power BI and MySQL.

hackcrr

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[Anonymous]

Hi, @savulesc 

In addition to using the default export feature in Power BI desktop, you can also export your data with the help of DAX studio.

You mentioned that some of the table of contents in your paginated report have different data than your normal report, probably because the external context (filter criteria) of the paginated report is different. You should check the row labels, column labels, etc., that your normal report metrics rely on.

Best Regards

Jianpeng Li

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.