In the attached file, you will find the oil production for allcountries that produce more than 1Mbpd, use pie chart and barchart to show the percentage of production for each of them.countrybpdUnited States11567000Russia10503000Saudi Arabia10225000Canada4656000Iraq4260000China3969000United ArabEmirates2954000Brazil2852000Kuwait2610000Iran2546000Kazakhstan1937000Norway1744000Mexico1733000Qatar1297000NigeriaLibyaAngola125800012200001158000

A bar graph is a graphical or chart presentation of downright data in the rectangular form of bars…

Answered: In the attached file, you will find the…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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The Department summary table should look up the department abbreviation and return all of the data listed. It needs to be filled out. To begin, next to the cell listed "Department", use a function to search the staff table data (not including the row of headings and the total row) and return the department name based on the abbreviation above. The formula will be copied, so make sure it always references the abbreviation. Copy the formula down to complete the Department summary table, and edit the copied formulas to return the values from the headings listed in the left-hand column. In the appropriate cell below the staff table, use a function to display the current date without displaying the time. The averages will not be needed, so delete column O. The date for the next update isn't certain, so hide row 18. Switch to the Budget worksheet, which contains the department budgets from 2021 to 2025. There's already a pie chart showing 2021 budget information, and Carmelo wants another…
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For the Excel file Closing Stock Prices, apply both column and line sparklines to visualize the trends in the prices for each of the four stocks in the file.
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 || || || >>>…
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 and height for only horses that have an above average height. Order the results by height (ascending).
R-Studio 1.) You have an airport routes.csv file that contains 3409 airports, each row has a 3-letter code and the number of routes. Example: Airport NumberOfRoutes AAE 9 AAL 20 AAN 2 AAQ 3 AAR 8 AAT 2 AAX 1 AAY 1 ABA 4 ABB 2 ABD 6 ABE 13 ABI 2 ABJ 49 ABL 4 ABM 1 ABQ 42 ABR 1 ABS 1 ABT 3 ABV 30 ABX 4 ABY 4 ABZ 41 ACA 8 ACC 54 ACE 116 ACH 2 ACI 2 ACK 6 ACR 2 ACT 2 ACU 1 ACV 3 ACX 6 ACY 10 ACZ 1 ADA 17 ADB 66 ADD 105 ADE 23 ADF 2 ADK 1 ADL 51 ADQ 11 ADU 3 ADZ 11 AEB 3 AEP 65 For this dataset, consider the following models:(a) Suppose the given data points follow a power law distribution. Estimate the corresponding α parameter. (b) Suppose the given data points follow an exponential distribution. Estimate the corresponding λ parameter. (c) Suppose the given data points follow a uniform distribution. Estimate the corresponding range parameters [a, b] of the uniform distribution.(d)…
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%'
Please give correct code. Thanks
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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