**Instructions for Calculating Order Data Using Excel Functions****Task 7** - **Objective:** Calculate the total orders for Austin.- **Action:** In cell B3, use the `SUMIF` function to find the sum of total orders for Austin (reference to cell B1).- **Method:** Use mixed references to maintain column consistency when copying.- **Copy Function:** From B3 to the range C3:D3.**Task 8** - **Objective:** Calculate the average number of days for shipments from Austin.- **Action:** In cell B4, use the `AVERAGEIF` function to determine the average.- **Method:** Use mixed references to keep column letters stable.- **Copy Function:** From B4 to the range C4:D4.**Task 9** - **Objective:** Analyze shipments from Houston with orders exceeding $1,000.- **Specific Focus:** Examine orders from Houston. - **Order Counting:** - **Action:** In cell C7, use the `COUNTIFS` function. - **Criteria:** Airport Code in IAH (referencing cell D1) and Order Total over $1,000.**Task 10** - **Objective:** Calculate total orders where the Airport Code is IAH and Order Total exceeds $1,000.- **Action:** In cell C8, apply the `SUMIFS` function for these criteria.**Task 11** - **Objective:** Identify the highest order total for IAH with Order Total more than $1,000.- **Action:** In cell C9, implement the `MAXIFS` function to find this maximum value.These instructions detail how to set up various Excel functions to efficiently analyze shipment order data using conditional criteria, focusing on utilizing mixed references for dynamic data manipulation. ### Shipping Statistics#### General Statistics- **AUS (Austin)** - # of Shipments: [Data Missing] - Total Order Value: [Data Missing] - Average # of Days: [Data Missing]- **DFW (Dallas/Fort Worth)** - # of Shipments: [Data Missing] - Total Order Value: [Data Missing] - Average # of Days: [Data Missing]- **IAH (Houston)** - # of Shipments: [Data Missing] - Total Order Value: [Data Missing] - Average # of Days: [Data Missing]#### Houston (IAH) Orders Over $1,000- **Number of Orders Shipped:** [Data Missing]- **Total of Orders Shipped:** [Data Missing]- **Highest Order Value:** [Data Missing]### Order Details| Date Ordered | Total Days | Airport Code | Order Total ||--------------|------------|--------------|-------------|| 4/5/2021 | 4 | AUS | $975 || 4/5/2021 | 10 | AUS | $1,055 || 4/5/2021 | 11 | IAH | $1,075 || 4/5/2021 | 7 | DFW | $1,000 || 4/5/2021 | 11 | IAH | $2,535 || 4/5/2021 | 9 | DFW | $1,890 || 4/5/2021 | 11 | AUS | $950 || 4/6/2021 | 9 | DFW | $1,485 || 4/6/2021 | 3 | DFW | $550 || 4/6/2021 | 13 | AUS | $1,250 || 4/6/2021 | 8 | IAH | $1,210 || 4/6/2021 | 13 | DFW | $550 || 4/7/2021 | 9 | IAH | $1

Answered: In cell B3, insert the SUMIF function…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Write a SELECT statement that uses the ranking functions to rank products by the total quantity sold. Return these columns: The product_name column from the Products table A column named total_quantity that shows the sum of the quantity for each product in the Order_Items table A column named rank that uses the RANK function to rank the total quantity in descending sequence A column named dense_rank that uses the DENSE_RANK function to rank the total quantity in descending sequence
The following is a preview of the DataFrames df_1. Which of the following statement(s) are true? df_1 date temperature humidity 2018/01/01 70 85 2018/01/02 68 80 2018/01/03 71 80 df_1 is in long format because each row represents an observation and each column represents a variable. df_1 is in wide format, i.e, each row is 1 record of an observation and each column represents a feature about a record. A dataframe cannot be seen as a table.
Task 4: The InstantRide User Satisfaction team is a core team for InstantRide, and they focus on increasing the customer satisfaction. They want to learn the travel time for each ride in the system. You need to return the USER_ID, and the TRAVEL_TIME column which is calculated using the TIMEDIFF function on the TRAVEL_END_TIME and the TRAVEL_START_TIME.
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 To Price per Roll From 1 70 $215 71 140 $195 141 280 $175 281 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 Number of To Price per Roll 70 $215 !!! 140 $195 280 $175 and up $155 1 71 141 281 Orders 172
8. Use the Form Wizard to create a new form for inputting sales data. Include all the fields from the PopcornSales table. a. b. Include the Item and Quantity fields from the SaleDetails table. c. View the form data by records in the PopcornSales table with related records in the SaleDetails table displayed in a subform. d. The subform should be displayed as a Datasheet. e. Name the main form: PopcornSales Form and name the subform: SaleDetailsSubform (Hint: Be sure to remove the space between ure.com/courses/79665/assignments/1378308?module_item_id=3226669 f. g. Access 365/2021 Capstone - SIMnet SaleDetails and Subform in the subform name suggested by Access.) Open the form in Form view to review your work. Navigate to the record in the main form for SaleID 3 and enter sale details in the subform as follows: Item: Truffle, Quantity: 3 Item: Old Bay, Quantity: 2 h. Close the form.
How many different functions are there from a set with 10 elements to a set with 3 elements?
calculate_trip_time( iata_src: str, iata_dst: str, flight_walk: List[str], flights: Flight Dir float: def ) -> """ Return a float corresponding to the amount of time required to travel from the source airport to the destination airport to the destination airport, as outlined by the flight_walk. The start time of the trip should be considered zero. In other words, assuming we start the trip at 12:00am, this function should return the time it takes for the trip to finish, including all the waiting times before, and between the flights. If there is no path available, return -1.0 >>> calculate_trip_time("AA1", "AA2", ["AA1", "AA2"], TEST_FLIGHTS_DIR_FOUR_ 2.0 "AA7", ["AA7", "AA1"], TEST_FLIGHTS_DIR_FOUR_ "AA7", ["AA1", "AA7"], TEST_FLIGHTS_DIR_FOUR_ "AA1", ["AA1"], TEST_FLIGHTS_DIR_FOUR_CITIES) "AA2", ["AA4", "AA1", "AA2"], TEST_FLIGHTS_DI "AA3", ["AA1", "AA2", "AA3"], TEST_FLIGHTS_DI >>> calculate_trip_time("AA1", "AA4", ["AA1", "AA4"], TEST_FLIGHTS_DIR_FOUR_ 2.0 || || || >>>…
Below are some rows of the PROVIDERS table for a factory: PCODE 10192 98411 0489035 NAME Hans, Inc. Tools and More Motors Inc. PHONE 231 - 3092 231-1029 993 - 1821 All providers from the factory zone of the city start with 231. You want to get the providers that are in the factory zone of the city. Which of the following is more appropriate? O a. O b. SELECT * FROM PROVIDERS WHERE PHONE LIKE '% 231' O C. O d. SELECT * FROM PROVIDERS WHERE PHONE LIKE $231%' SELECT * FROM PROVIDERS WHERE PHONE LIKE 231 SELECT * FROM PROVIDERS WHERE PHONE LIKE '%231%'
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StayWell’s maintenance team wants to recheck the apartments that had plumbing service requests beforehand. You will need to return all the property IDs and the addresses of the properties that had plumbing service request (CATEGORY_NUMBER 1). Task Return a list of all the property IDs and the addresses of the properties that had plumbing service requests.
Query 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!)

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