The DAX formula used to create new data (values) for each row in a calculated column named grade from the two columns (first and final) is. O a. - [first] + [final] O b. = first_final O. = first + final O d. = first==>final %3D
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![The DAX formula used to create new data (values) for each row in a calculated column named grade from the two columns (first and final) is.
a.
= [first] + [final]
O b. = first_final
O. = first + final
O d. = first==>final
%3D](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbe8163c0-27c8-43e7-b5f9-224be37a2719%2F062a710f-240a-4803-8e12-fefa8261514b%2Fj6nlfb_processed.png&w=3840&q=75)
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- This dataset “Birthweight_reduced_kg_R" contains information on new born babies and their parents. In the following a description of each variable is given: Name Variable Baby number Length of baby (cm) Weight of baby (kg) headcirumference Head Circumference ID length Birthweight Gestation Gestation (weeks) smoker Mother smokes 1 = smoker 0 = non-smoker motherage Maternal age Number of cigarettes smoked per day by mother mnocig Mothers height (cm) Mothers pre-pregnancy weight (kg) Father's age mheight mppwt fage Father's years in education Number of cigarettes smoked per day by father fedyrs fnocig Father's height (kg) Low birth weight, 0 = No and 1 = yes Mother over 35, 0 = No and 1 = yes fheight lowbwt mage35 Task 1: Load the csv file into Python environment and get the required columns to be used as x and y. Task 2: Use correlation coefficient to find and discuss the following: 1. Relationship between maternal height and baby length. 2. Relationship between mother's pre-pregnancy…stalls should be represented by ** , hazard boxes should be yellow two tables, one with hazards one withoutDefault value for table boarders that gives each cell its own boarder
- The constants are: COLUMN_ID = 0COLUMN_NAME = 1COLUMN_HIGHWAY = 2COLUMN_LAT = 3COLUMN_LON = 4COLUMN_YEAR_BUILT = 5COLUMN_LAST_MAJOR_REHAB = 6COLUMN_LAST_MINOR_REHAB = 7COLUMN_NUM_SPANS = 8COLUMN_SPAN_DETAILS = 9COLUMN_DECK_LENGTH = 10COLUMN_LAST_INSPECTED = 11COLUMN_BCI = 12 INDEX_BCI_YEARS = 0INDEX_BCI_SCORES = 1MISSING_BCI = -1.0 EARTH_RADIUS = 6371 This is an example of one of the bridges which is a list. def create_example_bridge_1() -> list:"""Return a bridge in our list-format to use for doctest examples. This bridge is the same as the bridge from row three of the dataset.""" return [1, 'Highway 24 Underpass at Highway 403','403', 43.167233, -80.275567, '1965', '2014', '2009', 4,[12.0, 19.0, 21.0, 12.0], 65.0, '04/13/2012',[['2013', '2012', '2011', '2010', '2009', '2008', '2007','2006', '2005', '2004', '2003', '2002', '2001', '2000'],[MISSING_BCI, 72.3, MISSING_BCI, 69.5, MISSING_BCI, 70.0, MISSING_BCI,70.3, MISSING_BCI, 70.5, MISSING_BCI, 70.7, 72.9, MISSING_BCI]]] def…Half code required for this question for complete.Bias values are subject to iterative adjustment True False
- Copied incorrect answer will be downvotedComputer Science please please any help ASAP Query #5: Code a query that will make use of SQL Server intrinsic functions and reference the Instructors table. Must have alias names for each column. First column: Display the instructors name as first name initial followed by a period and space and then last name such as B. Brown Second column: Display the year only for the hire date. Third column: Difference in months between today’s date and the hire date. Last column: Display the string literal ‘Full-time instructor’ if an instructor has a Status of F or return the string literal of ‘Adjunct instructor’ if they have a status of P. You can use the Case function or the IIF function.Correct answer will be liked, otherwise disliked
