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Q3:
Create a series called 'directors' that contains each director's name and his or her average rating. Print out the type of your variable.
Q4:
Select the non-USA movies made after 1960 by Hayao Miyazaki.
Save the result in a DataFrame called 'miyazaki', then print it.
Here are the steps:
1. Query the data ('df' DataFrame) based on the following conditions:
- Non-USA movies (country_id != 1)
- Movies made after 1960 (title_year > 1960)
- Movies made by director Hayao Miyazaki (director_id == 46)
2. Save the filtered data in a DataFrame called 'miyazaki' and print it
Q5:
Create a Pivot Table that shows the median rating for each director, grouped by their respective countries. Name your variable
'pivot_agg'
Q6:
How long did the movie Gladiator aim to keep your attention? Save the series with this information
in a variable called 'gladiator_duration', then print it.
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- Richardson Ski Racing (RSR) sells equipment needed for downhill ski racing. One of RSR's products is fencing used on downhill courses. The fence product comes in 150-foot rolls and sells for $215 per roll. However, RSR offers quantity discounts. The following table shows the price per roll depending on order size: Quantity Ordered From To Price per Roll 1 30 $215 31 60 $195 61 ཙཙ 120 $175 121 and up $155 Click on the datafile logo to reference the data. (a) Use the VLOOKUP function with the preceding pricing table to determine the total revenue from these orders. $ (b) Use the COUNTIF function to determine the number of orders in each price bin. From To Price per Roll Number of Orders 1 30 $215 31 60 $195 61 120 $175 121 and up $155 172 12Query 3: Write a parameter query to display the names of all prospects each member tried to recruit based on the member’s first name and the member’s last name you input. List the member’s First Name, member’s Last Name, prospect’s First Name, and prospect’s Last Name (in this order in the query grid). Display the member’s First Name Heading as Member First Name, member’s Last Name Heading as Member Last Name, prospect’s first name heading as Prospect First Name, and prospect’s last name heading as Prospect Last Name. Sort the list by Member Last Name, Member First Name, Prospect Last Name, and Prospect First Name, all ascending order. (WE ARE USING ACCESS SO I AM JUST TRYING TO UNDERSTAND WHAT TO PUT AND PLUG IN ETC. USE MY PICTURES AS REFERRENCE!)with it, paste your code in a text file named Student.txt and save it in your task folder. Write the SQL code to create a table called Student. The table structure is summarised in the table below (Note that STU_NUM is the primary key): STU_NUM Attribute Name STU_SNAME STU_FNAME STU_INITIAL STU_STARTDATE COURSE_CODE PROJ_NUM STU STU_S STU_F STU_INITIAL NUM NAME NAME 01 02 Snow John E CHAR(6) After you have created the table in question 1, write the SQL code to enter the first two rows of the table as below: Stark Arya с VARCHAR(15) VARCHAR(15) CHAR(1) DATE CHAR(3) INT(2) Data Type STU_STARTDATE COURSE_ PROJ_ CODE NUM 05-Apr-14 12-Jul-17 201 305 6 11 Assuming all the data in the Student table has been entered as shown below, write the SQL code that will list all attributes for a COURSE_CODE of 305.
- Richardson Ski Racing (RSR) sells equipment needed for downhill ski racing. One of RSR's products is fencing used on downhill courses. The fence product comes in 150-foot rolls and sells for $215 per roll. However, RSR offers quantity discounts. The following table shows the price per roll depending on order size: Quantity Ordered From To Price per Roll 1. 30 $215 31 60 $195 61 120 $175 121 and up $155 Click on the datafile logo to reference the data. DATA file (a) Use the VLOOKUP function with the preceding pricing table to determine the total revenue from these orders. (b) Use the COUNTIF function to determine the number of orders in each price bin. From To Price per Roll Number Orders 30 $215 31 60 $195 61 120 $175 121 and up $155 172DONT COPY FROM CHEGG == REPORT + DISLIKE 9. List the genre name and count of all tracks in each genre, in descending order of track count (so the genre with the most tracks is listed first)The Movie table has the following columns: ID - positive integer Title - variable-length string Genre - variable-length string RatingCode - variable-length string Year - integer Write ALTER statements to make the following modifications to the Movie table: Add a Producer column with VARCHAR data type (max 50 chars). Remove the Genre column. Change the Year column's name to ReleaseYear, and change the data type to SMALLINT.
- PYTHON CODE Using Artists.csv (link below), write a query that returns all lines that are female artists only, with begin date greater than 1950 but no greater than 2000 Write a query that will return all lines of British Male artists, who's first names starts with the letter ‘A’ and has an end date earlier than 1990 Write a query that will write to a file all lines that have Japanese Artists who’s difference of end date and begin date exceeds 100 years. I.e. if artist begins in 1900 and ends in 2005, then they would be included in the output (2005-1900 = 105 years) Write a query that will write and find to a file the artist who’s been at the Museum the longest (the widest gap between Begin Date and End Date) Artists.csv: https://media.githubusercontent.com/media/MuseumofModernArt/collection/master/Artists.csvSales Database: Customers(custId, lastName, firstName, address, phone, creditLimit) Orders(ordNumber, itemNumber, qtyOrdered.) Items(itemNumber, itemName, price) For the Sales Database referenced above, write the SQL command to create the LineItem table, assuming the Orders table and items table already exist.LAB - Select horses with logical operators The Horse table has the following columns: • ID integer, primary key • RegisteredName - variable-length string • Breed - variable-length string • Height-decimal number • BirthDate - date Write a SELECT statement to select the registered name, height, and birth date for only horses that have a height between 15.0 and 16.0 (inclusive) or have a birth date on or after January 1, 2020.
- eBook Richardson Ski Racing (RSR) sells equipment needed for downhill ski racing. One of RSR's products is fencing used on downhill courses. The fence product comes in 150-foot rolls and sells for $215 per roll. However, RSR offers quantity discounts. The following table shows the price per roll depending on order size: Quantity Ordered From To Price per Roll 30 $215 31 60 $195 61 120 $175 121 and up $155 Click on the datafile logo to reference the data. DATA file (a) Use the VLOOKUP function with the preceding pricing table to determine the total revenue from these orders. (b) Use the COUNTIF function to determine the number of orders in each price bin. From To Price per Roll Number Orders 1. 30 $215 13 31 60 $195 15 61 120 $175 37 121 and up $155 107 172 Hide FeedbackSQL A table Products have: a name (TEXT) a description (TEXT) a unit cost stored in cents (INTEGER) and of course we also add an id column to identify them. Separately, we'd like to track the number of items in stock for each product. To do so we'll have a store and an inventory table. Stores have just an id and a name. Then, our inventory table should combine stores and products, listing how much of each product each store has in stock. a product_id (INTEGER) a store_id (INTEGER) a quantity (INTEGER) in stock Now we can insert some stores, products and inventory into our database. There are 2 stores -- one called NY and one called NJ. There are 2 products we are concerned with. Their names are sneakers, costing $220 (remember this is dollars!) and boots costing $350. Use any description for each that you'd like. NY has 4 sneakers in stock and 3 boots. NJ has 5 sneakers in stock and no boots. Insert the above data into the tables you have created.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…
