TRUE/FALSE. when you get and transform data from an external source, you must add it to a worksheet without any changes.
The statement "when you get and transform data from an external source, you must add it to a worksheet without any changes" is false.
When you import and transform data from an external source, you can add it to a worksheet with or without modifications.The following are the steps to add the transformed data to a worksheet.
Step 1: To transform the data, choose a data source and transform the data to fit your specifications in the Power Query Editor.
Step 2: Choose Close & Load from the Close & Load drop-down list in the Close & Load drop-down list in the Close & Load group on the Home tab on the Power Query Editor ribbon.
Step 3: The Load To page is where you can specify how the query results are displayed in the Excel workbook. Select Table, PivotTable Report, or PivotChart Report from the options.
Step 4: Select Existing worksheet and choose the location on the worksheet where the data should be placed from the options available.
Step 5: To finish the wizard and add the transformed data to the worksheet, click OK.This process saves a lot of time and helps to keep the data up to date with the source. Data should be updated on a regular basis to keep it current and to aid in making critical decisions based on accurate and current data.
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in data science, is when a data analyst uses their unique past experiences to understand the story the data is telling.
This involves the analyst using their own knowledge, skills and intuition to interpret the data and draw conclusions. They are also able to identify patterns and trends in the data that may not be immediately obvious.
What is Data science?Data science is the study of extracting knowledge from data. It involves the application of mathematics, statistics, and computing to uncover the hidden meanings and patterns in data. Data science is a subset of the broader field of data analytics. Data science is used by companies to gain insights about their customers, markets, products, and operations.
The data analyst’s role in data science is to use their unique past experiences to understand the story the data is telling. This requires the analyst to have a deep understanding of the data and to be able to identify patterns, trends, and correlations in the data. This type of analysis requires the analyst to be creative and open-minded in order to make sense of the data. Analysts must also be able to draw meaningful conclusions from the data and make predictions about the future.
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