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

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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KEEPFILTERS and REMOVEFILTERS in Power BI

In Power BI DAX, both KEEPFILTERS and REMOVEFILTERS are functions used to manipulate filters within calculations. Let’s delve into each with an example: 1. KEEPFILTERS: The KEEPFILTERS function is used to preserve existing filters while applying new filters within a calculation. It ensures that only the specified filters are applied, keeping all other filters intact. …

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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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