Power BI
-Power BI helps analysts turn messy data into clear insights that support real business decisions.This involves keys like:
.Cleaning data
.Using Dax for analysis
.Building dashboards
-Power BI has many views which helps the analyst to analyze data:Table view,Report view ,Model view etc.
Messy Data to meaningful Data
-Real world data is far from perfect.Files may come from different sources,columns may be missing,and values may not follow a format.For example ,a sales dataset might list countries with different spellings or have empty values for revenue.
-Using power BI and power query,analysts clean and organize data.They remove :Duplicates,fix errors,and standardize formats.
-Poor Quality data can lead to incorrect insights,which in turn can result in bad business decisions.Clean data creates a trustworthy foundation for analylis.
.For example is my data from messy to cleaned and DAX calculated columns and power query which is used in the power BI to transform Data.
DAX functions to answer Questions
-The DAX function is used after the data has been prepared.The DAX data analysis expression is used by the analysts to create calculations that answer real questions.(Using an impression called DAX measure).

-DAX measures include:
1.Totals-Which gives the total count or the total sum of something.
.This calculations one may run them when on table view or in report view using DAX Measure.

2.Average-which which gives the mean of the product or sales calculated for.
3.We have many more functions in DAX Measure:
-Sumif
-Averageif
-Mean
-Median
-If
-Date
.This calculated functions of data are being viewed in the report view using visuals.
.DAX functions help us to tract problems,identify trends and spot potential problems in business early.
Dahboards
-Dashboards are insights that are well designed to show well represented data that has been analysed which tells the story easily.It uses Power BI Designed charts,tables and KPLs to allow easy quick decision masking by business owners.
1.KPLs
2.Charts
3.Tables
.Power BI helps bridge the gap between raw data and real world action.This due to cleaning messy data using DAX to create meaningful calculations and building intuitive dashboards,analysts enable organizations to make smarter decisions.








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