https://pawarbi.github.io/blog/
I am Sandeep Pawar and this is my blog
PawarBI
Home Page: https://pawarbi.github.io/blog/
License: Apache License 2.0
https://pawarbi.github.io/blog/
I am Sandeep Pawar and this is my blog
Functions to quickly check which of the data sources are folding
Solution to extract words from a sentence in each row using a pre-defined list in Power Query
https://pawarbi.github.io/blog/powerquery/m/list/2022/03/11/powerquery-M-extracting-words.html
I passed the DP-100 certification exam yesterday. Here are some of the resources I used and the tips for you to prepare well.
In this blog post I show how you can use Python to access datasets published to Power BI service using Python in Jupyter Notebook
Time series forecasting using various forecasting methods in Python & R in one notebook. In the first, part I cover Exploratory Data Analysis (EDA) of the time series using visualizations and statistical methods.
https://pawarbi.github.io/blog/forecasting/r/python/rpy2/altair/2020/04/21/timeseries-part1.html
Quick post on some things to keep in mind when using the RAND(), RANDBETWEEN() in Power BI to generate random numbers
https://pawarbi.github.io/blog/powerbi/dax/m/2020/06/03/powerbi-random-numbers.html
Passing parameters and lists to Value.NativeQuery to make queries foldable and dynamic
Exporting data in Power Query to a SQL server using Python
https://pawarbi.github.io/blog/powerbi/python/sql/export/2020/06/23/export-powerbi-sql-python.html
A very easy and effective way to dynamically and conditionally change the color transperancy in Power BI
https://pawarbi.github.io/blog/powerbi/dataviz/eda/2021/09/03/color-transperancy-powerbi.html
Embed link in Power BI reports for users to easily submit feedback via email
https://pawarbi.github.io/blog/usability/2022/06/10/submit-feedback-button-powerbi.html
In the second part of this blog series on forecasting I discuss forecasting steps, evaluation of forecasting methods, model selection, combinining models for robust and accurate forecasting and forecast uncertainty.
A quick PowerShell script to masss download Power BI reports based on a CSV file
Time series forecasting in PowerBI. (An Almost) Comprehensive Guide
I presented this session at Power Break on March 22, 2021. Topics coevered - limitations of using Python query in Power BI, importance of MLOps, deploying ML models in Azure ML and consuming them in Power BI
This blog shows how to select columns by data type. This is helpful if you have hundreds of columns and want to see, for example, only numerical or date columns.
The rss feed links to unstyled versions of your posts. For example, this post is linked as https://pawarbi.github.io/blog/2021/04/22/2021-04-05-operationalizing-ml-models-powerbi-azureml-mlops.html
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