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Average Salary in Data Science – India vs US

Job Title  Avg. Base Salary in India  Avg. Base Salary in US  Data Scientist ₹8,64,729/- $97294 Data Architect  ₹20,40,312/- $1,23347 Data Analyst  ₹4,63,202/- $62838 Data Engineer  ₹8,65,518/- $93272 Machine Learning Engineer  ₹7,23,386/- $112513 Business Intelligence (BI) Developer  ₹5,98,580/-  $82448 Database Administrator   ₹5,09,032/- $74451

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TOTALYTD and DATESYTD Functions in Power BI DAX

In Power BI DAX, both TOTALYTD and DATESYTD functions are used for year-to-date calculations, but they serve slightly different purposes and are used in different contexts. Here’s a detailed comparison along with examples. 1. TOTALYTD The TOTALYTD function is used to calculate the year-to-date total for a given measure or expression. It simplifies the process

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LOOKUPVALUE Function in Power BI with Example and Data

The LOOKUPVALUE function in DAX is used to return a single value from a column based on specified conditions. This function is particularly useful for finding values in a related table without creating a formal relationship between tables. Syntax dax Example Data Assume we have two tables: ProductInfo and SalesData. ProductInfo Table ProductID Category 1

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TREATAS function in power bi DAX with example and data

The TREATAS function in Power BI is used to apply the result of a table expression as the filter to columns from an unrelated table. It effectively changes the context in which data is evaluated, enabling cross-table calculations without explicit relationships. Here’s an example to illustrate the TREATAS function with example data: Example Scenario Suppose

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ALL and ALLExcept functions explained in Power Bi DAX

In DAX (Data Analysis Expressions), which is used in Power BI, Excel Power Pivot, and SQL Server Analysis Services, ALL and ALLExcept are functions used for manipulating the context of calculations, particularly in measures and calculated columns. These functions are primarily used to remove or modify filters in a DAX expression. Let’s delve into each

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