Exp19_Access_Ch2_Cap - Metropolitan Zoo 1.0
Azeez_Exp19_Access_Ch2_Cap_Zoo.accdb
| ID | mSysRowId |
|---|---|
| 1 | rRHOvAAaZVDGIjAG3Pa9hIFg5vcig1yptsKQI81WOI8=-~3rxiprKqpccx+WvP1NcKKQ== |
| TrainerID | FirstName | LastName | Address | City | State | Zipcode | HomePhone | BusinessPhone | DateHired | Education | Position | mSysRowId |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Gerry | Carney | 1289 Dickinson Drive | Coconut Grove | FL | 33133 | 3055556890 | 3055559098 | 2009-04-18 | DVM | Director | |
| 2 | Jackie | Malka | 1000 Leafy Way | Coral Gables | FL | 33146 | 3055558909 | 3055559099 | 2010-08-22 | MS | Senior Trainer | |
| 3 | Elizabeth | Lieb | 4 Main Highway | Miami | FL | 33157 | 3055558778 | 3055559000 | 2010-07-01 | BS | Trainer | |
| 4 | Bill | Horn | 509 Gerona Avenue | Coral Gables | FL | 33146 | 3055557876 | 3055559095 | 2011-05-31 | MS | Senior Trainer | |
| 5 | Keith | Masterson | 120 Seacrest Ave. | Miami | FL | 33157 | 3055551897 | 3055559770 | 2019-06-18 | BA | Trainer |
EX19_AC_CH02_GRADER_CAP_AS_Instructions.docx
Grader - Instructions Access 2019 Project
Exp19_Access_Ch2_Cap - Metropolitan Zoo 1.0
Project Description:
The Metropolitan Zoo tracks its animal data in Excel. The organization decides to use a database to organize the data about the animals, their trainers, and the animal exhibits. In this project, you will open an existing database and create a new table. You will import an Excel file containing information about the animals, and query the database to determine which animals need a checkup. You will also create a query to obtain a listing of the animals in each exhibit.
Steps to Perform:
|
Total Points |
100 |
Created On: 07/12/2019 1 Exp19_Access_Ch2_Cap - Metropolitan Zoo 1.0
Zoo.xlsx
Animals
| AnimalID | AnimalType | Weight | Diet | Origin | Endangered | ExhibitID | DateOfLastCheckup | TrainerID |
| 1 | Emerald Tree Boa | Mice, birds | South America | NO | 3 | 2/1/22 | 1 | |
| 2 | Elephant | 10000 | Plant parts, grass | Africa | NO | 2 | 6/9/22 | 3 |
| 3 | Galapagos Tortoise | 400 | Vegetation | Galapagos Islands | YES | 3 | 10/8/21 | 5 |
| 4 | Iguana | 2 | Rodents, birds, insects | Central America | NO | 3 | 9/1/21 | 4 |
| 5 | Gerenuk | 80 | Leaves, fruits, flowers | Africa | NO | 2 | 2/11/22 | 2 |
| 6 | Muntjac | 50 | Leaves, grass, fruit | India, China | YES | 1 | 6/9/21 | 1 |
| 7 | Sea Otter | Mollusks, Sea Urchins | North Pacific Ocean | NO | 1 | 8/14/22 | 1 | |
| 8 | Water Monitor | 5 | Small animals, birds | Southern Asia | NO | 1 | 2/1/22 | 3 |
| 9 | Clouded Leopard | 50 | Small animals | Southeast Asia | NO | 1 | 9/17/21 | 2 |
| 10 | Bengal Tiger | 450 | Animals, fish, fowl | India | YES | 1 | 12/1/21 | 4 |
| 11 | Black Rhinoceros | 2500 | Plants | Africa | YES | 2 | 10/17/22 | 4 |
| 12 | Gorilla | 300 | Leaves, plant parts, fruit | Central Africa | NO | 2 | 5/4/21 | 5 |
| 13 | Zebra | 600 | Plants | South Africa | NO | 2 | 7/28/22 | 3 |
| 14 | Ostrich | 200 | Alfalfa | Africa | NO | 2 | 10/25/21 | 2 |
| 15 | Giraffe | 4000 | Leaves, stems | West Africa | YES | 2 | 2/1/22 | 4 |
| 16 | Komodo Dragon | 200 | Deer, Boar | Indonesia | YES | 1 | 5/9/21 | 1 |
| 17 | Cuban Crocodile | 300 | Fish, small animals | Cuba | YES | 3 | 5/12/22 | 3 |