### Shipping and Order Analysis#### OverviewThe data provides a detailed analysis of orders across three airport locations: AUS, DFW, and IAH. The information includes the number of shipments, total order value, and statistics specifically for Houston (IAH) orders exceeding $1,000.#### General Statistics- **AUS, DFW, IAH Columns:** These columns are intended to display the number of shipments, total order value, and average number of days for orders shipped from each corresponding airport code.- **Houston (IAH) Orders Over $1,000:** - **Number of Orders Shipped:** Not specified in the sheet, but would represent the count of orders over $1,000. - **Total of Orders Shipped:** Intended to show the cumulative value of orders over $1,000. - **Highest Order Value:** Would detail the maximum order value over $1,000 shipped from IAH.#### Detailed Order BreakdownThe table below the statistics performs a breakdown of individual orders:- **Columns:** - **Date Ordered:** The specific date when the order was placed. - **Total Days:** The duration in days taken for processing or shipment. - **Airport Code:** Denotes the airport from which the order was dispatched: AUS, DFW, or IAH. - **Order Total:** The monetary total of each individual order.Here are the data points from the table:1. **4/5/2021:** Various orders were processed from AUS, IAH, and DFW with totals ranging from $975 to $2,535.2. **4/6/2021:** Orders included those processed with codes AUS, DFW, and IAH, totaling between $550 and $1,485.3. **4/7/2021:** IAH order with a total of $1,425.#### AnalysisThis data can be used to evaluate the shipping performance and volume at each airport location. The insights derived can optimize logistical strategies, focusing on high-value areas and improving shipment efficiency, particularly for high-value orders in Houston. ### Instructions for Using the COUNTIF FunctionThe Stats worksheet contains similar data. Now you want to enter summary statistics.**Step-by-Step Guide:**1. **Cell B2 Setup:** - In cell B2, insert the `COUNTIF` function to count the number of shipments for Austin (located in cell B1). - Use appropriate mixed references to the range argument to keep the column letters the same.2. **Function Duplication:** - Copy the function to the range C2:D2.### Explanation:- **COUNTIF Function:** This function is used to count the number of cells that meet a criteria within a specified range.- **Mixed References:** A combination of absolute and relative references in Excel that help maintain the same column while copying the formula across different cells.- **Range C2:D2:** Once the function is set in B2, it can be efficiently copied to columns C and D to apply the same logic for additional data or locations.

The given problem is related to Excel formulas where the requirement is to use COUNTIF function and…

Answered: The Stats worksheet contains similar…

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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How many different functions are there from a set with 10 elements to a set with 3 elements?
use the RUST
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 || || || >>>…
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