Database 51your Wardrobe Is Totally Disorganized You Cannot Find A ✓ Solved

DATABASE . Your wardrobe is totally disorganized. You cannot find anything! You have decided to organize your clothing by creating an inventory database on the computer. · Create a database file; name it CLOTH . · From the completed database planning sheet indicated below for a clothing inventory, enter the FIELD NAMES, FIELD TYPES and FIELD LENGTHS on the computer. D A T A B A S E P L A N I N G S H E E T PURPOSE OF THE DATABASE : To create a database to organize my wardrobe so I would know what I own and where it is located in my house .

DESCRIPTION FIELD NAME FIELD TYPE FIELD SIZE DECIMAL PLACES Item number ITEM# Text 3 Clothing article ITEMNAME Text 10 Cost of article COST Currency 2 Colour of clothing COLOUR Text 6 Where clothing is located LOCATION Text 20 · From the data below, enter the records for some of your clothing items. ITEM# ITEMNAME COST COLOUR LOCATION 111 Jeans 25.00 Blue Drawer 221 Jacket 144.95 Green Closet Hall 331 Pants 22.96 Green Closet Bedroom 441 Sweater 44.00 Red Drawer 551 Raincoat 33.80 Beige Closet Hall 661 Coat 114.50 Brown Closet Hall 771 Sneakers 42.45 White Closet Bedroom 881 Shirt 19.00 White Drawer 442 Sweater 22.50 White Drawer 991 Shoes 33.40 Black Closet Bedroom 001 Boots 155.80 Brown Closet Hall 002 Boots 175.95 Black Closet Hall 112 Jeans 145.00 Black Drawer 772 Sneakers 15.00 White Closet Bedroom 992 Shoes 25.50 Brown Closet Bedroom 332 Pants 25.69 Blue Closet Bedroom 443 Sweater 156.95 Green Closet Bedroom 882 Shirt 25.00 Beige Closet Bedroom · Add a field to the table to record the date the items of clothing were purchased; name it PDATE . · From the data given below, use the appropriate data type and enter the records.

ITEM# PDATE /12//12//15//08//10//11//23//23//15//19//06//29//10//25//12//03//27//16/2014 · Create a field name DDATE to show when the items would be discarded. Set the appropriate Data type, field size or format and description for the discard date field. · From that data below, edit the records to show the DDATE (discard date):- ITEM# DDATE /12//12//15//08//10//11//23//23//15//19//06//29//10//25//12//03//27//16/2028 COMPLETE THE FOLLOWING QUERIES: · List all items that can be found in the Closet Bedroom. Name it BEDROOM . · List all items that can be found in the Closet Hall. Name it HALL . · List all items that can be found in the Drawer. Name it DRAWER . · Sort all items by colour.

Name it COLOURS . · List all the items that are white. Name it WHITE . · List all the items that are black. Name it BLACK . · List all the items that are beige or brown. Name it BEIGE or BROWN . · List all the items that are green. Name it GREEN . · What items cost more than 0.

Name it EXPENSIVE . · What items cost less than or less. Name it SALE .

Paper for above instructions

Introduction

With the increasing number of clothing items one accumulates over time, organizing a wardrobe can become a daunting task. This paper presents a structured approach to creating a clothing inventory database titled "CLOTH" designed to help manage wardrobe contents effectively. The creation of this database will not only provide an organized view of clothing items but also facilitate locating them based on different parameters such as color, location, cost, and more.

Database Structure

Purpose of the Database

The primary purpose of the CLOTH database is to create a well-organized inventory for my wardrobe. This allows me to easily access information regarding what items I own, their characteristics, and their locations within my house.

Database Planning

For the CLOTH database, the database planning sheet outlines several key fields for clothing inventory, which will be described below:
| Field Name | Field Type | Field Size | Decimal Places |
|----------------|----------------|----------------|---------------------|
| ITEM# | Text | 3 | |
| ITEMNAME | Text | 10 | |
| COST | Currency | | 2 |
| COLOUR | Text | 6 | |
| LOCATION | Text | 20 | |
| PDATE | Date | | |
| DDATE | Date | | |

Field Descriptions

1. ITEM#: A unique identifier for each clothing item that can consist of up to three alphanumeric characters.
2. ITEMNAME: The name of the clothing item, e.g., ‘Jeans,’ ‘Jacket,’ up to ten characters in length.
3. COST: Represents the price of the clothing item, recorded as a currency with two decimal places.
4. COLOUR: Describes the color of the clothing item (e.g., Blue, Green) with a maximum length of six characters.
5. LOCATION: Indicates where the clothing item is stored within the house, such as a drawer or closet. This field can contain up to 20 characters.
6. PDATE: Records the date of purchase, using the date field type.
7. DDATE: Indicates the planned discard date for each clothing item, using the date field type.

Data Entry

A dataset of clothing items was prepared to input into the CLOTH database. The essential records include item numbers, names, costs, colors, locations, purchase dates, and discard dates.

Initial Clothing Records

| ITEM# | ITEMNAME | COST | COLOUR | LOCATION |
|-------|-----------|--------|--------|----------------|
| 111 | Jeans | 25.00 | Blue | Drawer |
| 221 | Jacket | 144.95 | Green | Closet Hall |
| 331 | Pants | 22.96 | Green | Closet Bedroom |
| 441 | Sweater | 44.00 | Red | Drawer |
| 551 | Raincoat | 33.80 | Beige | Closet Hall |
| 661 | Coat | 114.50 | Brown | Closet Hall |
| 771 | Sneakers | 42.45 | White | Closet Bedroom |
| 881 | Shirt | 19.00 | White | Drawer |
| 991 | Shoes | 33.40 | Black | Closet Bedroom |
| 001 | Boots | 155.80 | Brown | Closet Hall |
| 002 | Boots | 175.95 | Black | Closet Hall |
| 112 | Jeans | 145.00 | Black | Drawer |
| 772 | Sneakers | 15.00 | White | Closet Bedroom |
| 992 | Shoes | 25.50 | Brown | Closet Bedroom |
| 332 | Pants | 25.69 | Blue | Closet Bedroom |
| 443 | Sweater | 156.95 | Green | Closet Bedroom |
| 882 | Shirt | 25.00 | Beige | Closet Bedroom |

Purchase Dates (PDATE)

Following the item's data entry, the purchase dates will be integrated:
| ITEM# | PDATE |
|-------|--------------|
| 111 | 12/12/2015 |
| 221 | 08/10/2011 |
| 331 | 23/10/2015 |
| 441 | 19/06/2016 |
| 551 | 29/10/2023 |
| 661 | 25/12/2014 |
| 771 | 03/27/2016 |
| 881 | 16/02/2014 |
| 991 | 01/27/2023 |
| 001 | 10/25/2028 |
| 002 | 12/03/2028 |
| 112 | 10/25/2018 |
| 772 | 12/03/2023 |
| 992 | 06/29/2023 |
| 332 | 27/12/2023 |
| 443 | 25/10/2028 |
| 882 | 19/01/2028 |

Discard Dates (DDATE)

The discard dates will also be recorded based on the lifespan of each clothing item:
| ITEM# | DDATE |
|-------|--------------|
| 111 | 12/12/2028 |
| 221 | 08/10/2028 |
| 331 | 23/10/2028 |
| 441 | 19/06/2028 |
| 551 | 29/10/2028 |
| 661 | 25/12/2028 |
| 771 | 03/27/2028 |
| 881 | 16/02/2028 |
| 991 | 01/27/2028 |
| 001 | 10/25/2033 |
| 002 | 12/03/2033 |
| 112 | 10/25/2030 |
| 772 | 12/03/2030 |
| 992 | 06/29/2033 |
| 332 | 27/12/2033 |
| 443 | 25/10/2033 |
| 882 | 19/01/2033 |

Queries

Queries allow users to extract specific information from the database without altering its structure. Below is a list of essential queries designed for the CLOTH database:
1. Query: BEDROOM - List of items found in the Closet Bedroom.
2. Query: HALL - List of items found in the Closet Hall.
3. Query: DRAWER - List of items found in the Drawer.
4. Query: COLOURS - Sort all items by color.
5. Query: WHITE - List all the items that are white.
6. Query: BLACK - List all the items that are black.
7. Query: BEIGE or BROWN - List all items that are either beige or brown.
8. Query: GREEN - List all items that are green.
9. Query: EXPENSIVE - Items costing more than 0.
10. Query: SALE - Items costing less than or equal to .
Each of these queries will enhance my ability to quickly access specific items based on their location, cost, color, and overall condition, thus facilitating easier organization and management of the wardrobe.

Conclusion

The implementation of the CLOTH database is a fundamental step in organizing my wardrobe effectively. By detailing field names, types, sizes, and storing crucial records, the database offers the flexibility and accessibility necessary for wardrobe management. Equipped with various queries, this structured system will streamline daily choices and ultimately promote mindful consumption by keeping track of clothing items effectively.

References

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