NutriData Final Report
Joacim Soto
Andrew Obregon
jsotocruz@csustan.edu
obregonandrew@gmail.com
CS 4250
Project Part 6
05/18/13
1. Project Description
NutriData is reference type of nutritional database for the public to investigate facts
about all kinds of foods people may have an interest in. The information that can be
added for any specific type of food can be vast. Not only NutriData returns the
nutritional facts and ingredients related to such food, but it can also find the
company that presently manufactures that food product. Although not directly
implemented into the project’s WWW site, the database provides a set of users who
supposedly entered their physical information and the foods they liked. This is a
precursor to group of registered subscribers who may use the site.
What is modeled by the database are the referential abilities reminiscent of that of
any other massive library of information regarding any subject. In NutriData’s case
the main subject of investigation and entity is food! More specifically, “specific food”.
A user can find the nutritional values of a food, the ingredients of the food, which
company manufactures that food, in what category may that food enter in the USDA
food pyramid and needless to say, the database provides general information on the
Nutritional Values, the Food Pyramid suggested servings and the Ingredients most
found in foods. Also, ideally a user should be able to find any food in our database.
But of course, this is not possible at the moment because the database only has 172
food items.
The Real World
The database can actually pave the way for added functionality, for if we added the
group of subscribers, we would try to give them recommendations of replacing or
adding to a set of foods into their so called “diet”. NutriData would help those most
honest about their habits. Also from the consumer standpoint, people would make
more informed decisions about what they consume. Price of foods could be also a
possibility but it would be very difficult to maintain/update. We could get
particularly very health conscious and point the foods that are carcinogenic , GM,
etc. But the point is not to be biased, nor misrepresent the products or companies,
but to expose the facts to the people. People are responsible for the choices they
make. NutriData is just an informative tool.
2. Relational Schema
Important Updates: The only change from the previous ER Diagram is that a
calories attribute is now appended to Food. This is because calories are a measure
unit themselves and cannot be quantified in grams. This is reflected on the new ER
Diagram. Also, we would like to explain that relationships Food_Pyramid and
Nutritional_Value are limited to 6 and 39 tuples accordingly. This is because there
are only 6 Categories in the Food Pyramid and we were able to find information for
only 39 Nutritional Values for the project.
Note: PK = Primary Key and FK = Foreign Key
CEOruns
Field
Type
Null Default
fName varchar(30) No
lName varchar(30) No
cID
int(11)
No
Comments
Partial Key
Partial Key
PK/FK
Company
Field
Type
Null Default Comments
cID
int(11)
No
cName varchar(30) Yes NULL
cWebSite varchar(100) Yes NULL
Contain
Field
foodID
nvName
grams
PK
Type
Null Default Comments
int(11)
No
PK/FK
varchar(30) No
PK/FK
double
No
Food
Field
Type
Null Default Comments
foodID
int(11)
No
PK
foodName varchar(50) Yes NULL
servingSize double
Yes NULL
calories
int (6)
No 0
Food_Pyramid
Field
category
addInfo
Type
Null Default Comments
varchar(10) No
PK
varchar(1000) Yes NULL
RecommendedServings double
General_Food
Field Type
foodID int(11)
Null Default
No
Yes NULL
Comments
PK/FK
Human_User
Field
Type
Null Default Comments
userID int(11)
No
PK
uName varchar(30) Yes NULL
uAge
int(3)
Yes NULL
uWeight double
Yes NULL
uHeight double
Yes NULL
uGender char(1)
Yes NULL
Ingredients
Field Type
Null Default Comments
foodID int(11)
No
PK/FK
info varchar(1000) No
Likes
Field Type
foodID int(11)
userID int(11)
Null Default Comments
No
PK/FK
No
PK/FK
Manufactures
Field Type
Null Default Comments
cID
int(11) No
PK/FK
foodID int(11) No
PK/FK
Nutritional_Value
Field
Type
Null Default Comments
nvName
varchar(30) No
PK
suggestedDailyVal int(11)
Yes NULL
info
varchar(1000) Yes NULL
Specific_Food
Field Type
Null Default Comments
foodID int(11) No
PK/FK
isCategorized
Field
Type
Null Default Comments
foodID int(11)
No
PK/FK
category varchar(10) No
PK/FK
isFanOf
Field Type
userID int(11)
cID
int(11)
Null Default Comments
No
PK/FK
No
PK/FK
isMadeOf
Field
Type
specificfoodID int(11)
ingredientfoodID int(11)
3. ER Diagram
Null Default Comments
No PK/FK
No PK/FK
4. CREATE TABLE Statements (latest update version)
SET SQL_MODE="NO_AUTO_VALUE_ON_ZERO";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS
*/;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
CREATE DATABASE jsoto DEFAULT CHARACTER SET latin1 COLLATE
latin1_swedish_ci;
USE jsoto;
CREATE TABLE CEOruns (
fName varchar(30) NOT NULL DEFAULT '',
lName varchar(30) NOT NULL DEFAULT '',
cID int(11) NOT NULL,
PRIMARY KEY (fName,lName,cID),
KEY cID (cID)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE Company (
cID int(11) NOT NULL AUTO_INCREMENT,
cName varchar(30) DEFAULT NULL,
cWebSite varchar(100) DEFAULT NULL,
PRIMARY KEY (cID)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE Contain (
foodID int(11) NOT NULL,
nvName varchar(30) NOT NULL,
grams double NOT NULL,
PRIMARY KEY (foodID,nvName),
KEY nvName (nvName)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE Food (
foodID int(11) NOT NULL AUTO_INCREMENT,
foodName varchar(50) DEFAULT NULL,
servingSize double DEFAULT NULL,
calories int(6) NOT NULL DEFAULT '0',
PRIMARY KEY (foodID)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE Food_Pyramid (
category varchar(10) NOT NULL,
addInfo varchar(1000) DEFAULT NULL,
RecommendedServings int(11) DEFAULT NULL,
PRIMARY KEY (category)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE General_Food (
foodID int(11) NOT NULL,
PRIMARY KEY (foodID)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE Human_User (
userID int(11) NOT NULL AUTO_INCREMENT,
uName varchar(30) DEFAULT NULL,
uAge int(3) DEFAULT NULL,
uWeight double DEFAULT NULL,
uHeight double DEFAULT NULL,
uGender char(1) DEFAULT NULL,
PRIMARY KEY (userID)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE Ingredients (
foodID int(11) NOT NULL,
info varchar(1000) NOT NULL,
PRIMARY KEY (foodID)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE Likes (
foodID int(11) NOT NULL,
userID int(11) NOT NULL,
PRIMARY KEY (foodID,userID),
KEY userID (userID)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE Manufactures (
cID int(11) NOT NULL,
foodID int(11) NOT NULL,
PRIMARY KEY (cID,foodID),
KEY foodID (foodID)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE Nutritional_Value (
nvName varchar(30) NOT NULL DEFAULT '',
suggestedDailyVal int(11) DEFAULT NULL,
info varchar(1000) DEFAULT NULL,
PRIMARY KEY (nvName)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE Specific_Food (
foodID int(11) NOT NULL,
PRIMARY KEY (foodID)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE isCategorized (
foodID int(11) NOT NULL,
category varchar(10) NOT NULL,
PRIMARY KEY (foodID,category),
KEY category (category)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE isFanOf (
userID int(11) NOT NULL,
cID int(11) NOT NULL,
PRIMARY KEY (userID,cID),
KEY cID (cID)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE isMadeOf (
specificfoodID int(11) NOT NULL,
ingredientfoodID int(11) NOT NULL,
PRIMARY KEY (specificfoodID,ingredientfoodID),
KEY ingredientfoodID (ingredientfoodID)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
ALTER TABLE `CEOruns`
ADD CONSTRAINT ceoruns_ibfk_1 FOREIGN KEY (cID) REFERENCES Company
(cID) ON DELETE CASCADE;
ALTER TABLE `Contain`
ADD CONSTRAINT contain_ibfk_2 FOREIGN KEY (nvName) REFERENCES
Nutritional_Value (nvName),
ADD CONSTRAINT contain_ibfk_3 FOREIGN KEY (foodID) REFERENCES
Specific_Food (foodID);
ALTER TABLE `Ingredients`
ADD CONSTRAINT ingredients_ibfk_1 FOREIGN KEY (foodID) REFERENCES Food
(foodID) ON DELETE CASCADE;
ALTER TABLE `Likes`
ADD CONSTRAINT likes_ibfk_4 FOREIGN KEY (userID) REFERENCES human_user
(userID) ON DELETE CASCADE,
ADD CONSTRAINT likes_ibfk_3 FOREIGN KEY (foodID) REFERENCES Food (foodID)
ON DELETE CASCADE;
ALTER TABLE `Manufactures`
ADD CONSTRAINT manufactures_ibfk_1 FOREIGN KEY (cID) REFERENCES
Company (cID),
ADD CONSTRAINT manufactures_ibfk_2 FOREIGN KEY (foodID) REFERENCES
Food (foodID);
ALTER TABLE `Specific_Food`
ADD CONSTRAINT specific_food_ibfk_1 FOREIGN KEY (foodID) REFERENCES Food
(foodID) ON DELETE CASCADE;
ALTER TABLE `isCategorized`
ADD CONSTRAINT iscategorized_ibfk_1 FOREIGN KEY (foodID) REFERENCES
General_Food (foodID),
ADD CONSTRAINT iscategorized_ibfk_2 FOREIGN KEY (category) REFERENCES
Food_Pyramid (category) ON DELETE CASCADE;
ALTER TABLE `isFanOf`
ADD CONSTRAINT isfanof_ibfk_1 FOREIGN KEY (userID) REFERENCES
human_user (userID),
ADD CONSTRAINT isfanof_ibfk_2 FOREIGN KEY (cID) REFERENCES Company
(cID);
ALTER TABLE `isMadeOf`
ADD CONSTRAINT ismadeof_ibfk_1 FOREIGN KEY (specificfoodID) REFERENCES
Specific_Food (foodID),
ADD CONSTRAINT ismadeof_ibfk_2 FOREIGN KEY (ingredientfoodID)
REFERENCES Ingredients (foodID);
5. Functional Dependencies:
Functional Dependencies
nvName --> suggestedDailyVal
nvName --> info
nvName, foodID --> grams
Iname --> info
foodID --> foodName
foodID --> servingSize
UserID --> uAge
UserID --> uHeight
UserID --> uWeight
Relations/Tables
Nutritional_Value
Nutritional_Value
contain
Ingredient
Food
Food
Human_User
Human_User
Human_User
UserID -->uName
UserID --> uGender
cID --> cName
cID --> cAddress
cID --> cWebsite
category --> addInfo
category --> recommendedServings
foodID --> category
Human_User
Human_User
Company
Company
Company
Food_Pyramid
Food_Pyramid
Food, Food_Pyramid
6. BCNF or 3NF explanations
Nutritional_Value is in BCNF because the only non trivial dependency is a candidate
key. Because it is in BCNF, it is also in 3NF.
contain is in BCNF because the only non trivial dependency is a candidate key.
Because it is in BCNF, it is also in 3NF.
Ingredient is in BCNF because the only non trivial dependency is a candidate key.
Because it is in BCNF, it is also in 3NF.
Food is in BCNF because the only non trivial dependency is a candidate key.
Because it is in BCNF, it is also in 3NF.
Human_User is in BCNF because the only non trivial dependency is a candidate key.
Because it is in BCNF, it is also in 3NF.
Company is in BCNF because the only non trivial dependency is a candidate key.
Because it is in BCNF, it is also in 3NF.
Food_Pyramid is in BCNF because the only non trivial dependency is a candidate
key. Because it is in BCNF, it is also in 3NF.
General_Food is in BCNF because it only contains trivial dependencies. Because it is
in BCNF, it is also in 3NF.
Specific_Food is in BCNF because it only contains trivial dependencies. Because it is
in BCNF, it is also in 3NF.
Likes is in BCNF because it only contains trivial dependencies. Because it is in
BCNF, it is also in 3NF.
isMadeOf is in BCNF because it only contains trivial dependencies. Because it is in
BCNF, it is also in 3NF.
isFanOf is in BCNF because it only contains trivial dependencies. Because it is in
BCNF, it is also in 3NF.
manufactures is in BCNF because it only contains trivial dependencies. Because it is
in BCNF, it is also in 3NF.
isCategorized is in BCNF because it only contains trivial dependencies. Because it is
in BCNF, it is also in 3NF.
CEO is in BCNF because it only contains trivial dependencies. Because it is in BCNF,
it is also in 3NF.
runs is in BCNF because it only contains trivial dependencies. Because it is in BCNF,
it is also in 3NF.
7. Indices
Nutritional Value
Food
nvName – Hash,
foodID – B+ Tree
foodName - Hash
company
cID – B+ tree
cName - Hash
Human_user
userID – B+ tree
uName - Hash
Records with integers like IDs could be indexed on B+Trees since we may retrieve a
range selection and for searching one record we minimize the number of disks I/Os
since B+ Trees are the best option available to do accomplish this.
If a file of the names of foods or users is “hashed” on the name field we may retrieve
all records from that particular food or user or company name. This way the
database can support searches for that particular name with equality selection
queries.
8. Summary of records (at the time of Part 5)
Table
Records
29
CEO runs
29
Company
60
Contain
109
Food
6
Food_Pyramid
9
General_Food
42
Human_User
32
Ingredients
9
isCategorized
76
isFanOf
86
isMadeOf
66
Likes
32
Manufactures
39
Nutritional_Value
34
Specific_Food
15 table(s)
658
COMMANDS
Now let’s see the resulting table:
Let’s INSERT a Pear,
Now, let’s DELETE that Pear:
Now let’s change the serving size of an Apricot to 36 grams.
Sources
For most nutritional information on food:
http://caloriecount.about.com/
To gather ingredient information :
http://inrfood.com/
To investigate the companies and products they produce:
http://www.wikipedia.org/
Data that was cooked was generated by an engine for the user names.
Constraints are set in the type of fields that are allowed for each table. We do not
have Check constraints at the moment. Note that most food ingredients have 0 in
their serving size but not all of them, so it is not a complete generalization. We also
set limits in the length of the fields.
Rest of Samples (at the time of Part 5)
‘CEO runs’
fName lName cID
John
Bryant
1
William Stiritz
2
Indra Nooyi
3
Muhtar Kent
4
Tony Vernon
5
Denise Morrison 6
Ken
Powell
7
John
Bilbrey
8
Kandall Powell
9
Donnie Smith
10
Contain
foodID
nvName
grams
7 Trans Fat
0
8 Calories
211
8 Cholesterol
0
8 Dietary Fiber
6.3
8 Polyunsaturated Fat
0.5
8 Protein
5.3
8 Saturated Fat
0
8 Sodium
0
8 Sugars
11.6
8 Total Carbohydrates 49.5
Company
cID
cName
1 Kelloggs
2 Post Foods
3 Pepsi co.
4 The Coca-Cola Company
5 Kraft Foods Inc.
The Campbell Soup
6
Company
7 General Mills
8 The Hershey Company
9 Betty Crocker
10 Tyson Foods
cWebSite
kelloggs.com
postfoods.com
pepsico.com
cocacola.com
Kraft.com
campbellsoup.com
generalmills.com
hersheys.com
bettycrocker.com
tyson.com
Food
foodID
foodName
servingSize
1 Gala Apple
152
2 Chiquita Banana
126
3 Motts Apple Sauce
128
4 Original Rockstar
240
5 Monster Beverage
240
7 Corn Flakes
28
8 Frosted Mini Wheats Bite Size
59
9 Frosted Shredded Wheat Bite Size
52
10 Pepsi Cola
227
11 Coca-Cola
240
Food_Pyramid
category
addInfo
RecommendedServings
Dairy
All fluid milk products and many foods made from m...
3
Fruits
Any fruit or 100% fruit juice counts as part of th...
5
Grains
Any food made from wheat, rice, oats, cornmeal, ba...
7
Oils
Oils are fats that are liquid at room temperature,...
3
Protein
All foods made from meat, poultry, seafood, beans ...
3
Vegetables Any vegetable or 100% vegetable juice counts as a ...
5
General_Food
foodID
18
101
123
125
127
131
132
133
134
isCategorized
foodID category
101 Dairy
131 Fruits
132 Fruits
133 Fruits
18 Grains
127 Grains
134 Protein
123 Vegetables
125 Vegetables
Human_User
userID
uName
uAge uWeight uHeight uGender
31 uptightknees
35
161
66 M
32 brainmaroon
42
170
69 M
33 shoeschopping
23
127
66 M
34 biketasteless
28
136
63 M
35 canonmews
21
151
67 F
36 resentfulspawnslime 25
163
65 M
37 oddclerk
48
185
73 F
38 mumartery
27
139
68 F
39 geardome
24
140
71 M
40 jellyfishjellyfish
56
153
72 M
Ingredient
foodID
info
27 Corn is used in many food preparations around the ...
28 Sugar (sucrose) is used in most recipes as a sweet...
29 In addition to imparting a much-desired flavor to ...
30 Butylated hydroxytoluene (BHT) is a synthetic comp...
31 Malt flavoring is used as a food additive and a sw...
32 Whole grain wheat is a grain that is used in bakin...
33 Brown rice syrup is used as a sweetener. It is mad...
34 Gelatin is used in desserts as a thickener. Gelati...
35 Carbonated water is water that has carbon dioxide ...
37 High-fructose corn syrup is modified corn syrup. C...
isMadeOf
pecificfoodID ingredientfoodID
10
35
10
37
11
37
10
38
11
38
10
39
11
39
10
40
11
40
10
41
Manufactures
cID foodID
1
7
1
8
2
9
3
10
4
11
5
12
6
13
7
14
8
15
9
16
isFanOf
userID cID
6 7
11 7
18 7
23 7
26 7
28 7
34 7
1 8
3 8
4 8
Likes
foodID userID
2
1
5
1
7
1
113
1
115
1
9
2
10
2
15
2
26
2
115
2
Nutritional_Value
nvName suggestedDailyVal
info
Biotin
0 All of the B vitamins help your body convert the c...
Calcium
1 Calcium is considered the most abundant mineral in...
Calories
2000 In nutritional contexts, the kilojoule (kJ) is the...
Chloride
0 Chloride, together with sodium, potassium and bica...
Cholesterol
0 Cholesterol is a type of fat that is part of all a...
Chromium
0 Starting around 2000, chromium received a lot of a...
Copper
0 Some of the many functions of copper in a diet inc...
Dietary Fiber
25 Dietary fiber — found mainly in fruits, vegetables...
Folate
0 Folate belongs to a group of vitamins collectively...
Iodine
0 Iodine is required by your body for the synthesis ...
Specific_Food
foodID
23
24
25
26
113
114
115
116
117
118
9. Sample script of Querying
NOTE: Queries in the script appear in the order from the descriptions below:
1.
2.
3.
4.
Find all of the foods that are also Specific foods.
Find the average serving size of all the foods entered in the database.
Find the name of users who like foodID 115.
Find the number of likes and food names of the top ten most liked foods by the
users.
5. Find the names of foods that have at least one like.
As a failed example we tested :
SELECT AVG(Human_User.uAge), Food.foodName
FROM (Human_User JOIN Likes ON USING userID) JOIN Food
USING foodID
We were trying to find the average age of users who like specific foods.
And here is the script:
mysql> use jsoto;
Database changed
mysql> SELECT Food.foodName
-> FROM Food, Specific_Food
-> WHERE Food.foodID = Specific_Food.foodID;
+----------------------------------------+
| foodName
|
+----------------------------------------+
| Gala Apple
|
| Chiquita Banana
|
| Motts Apple Sauce
|
| Original Rockstar
|
| Monster Beverage
|
| Corn Flakes
|
| Frosted Mini Wheats Bite Size
|
| Frosted Shredded Wheat Bite Size
|
| Pepsi Cola
|
| Coca-Cola
|
| Macaroni & Cheese
|
| Chicken Noodle Soup
|
| Cheerios
|
| Hersheys Milk Chocolate
|
| SuperMoist Devils Food Cake
|
| Chicken Nuggets
|
| Grilled Chicken Marinara
|
| Lasagna
|
| Garden Vegetable Medley
|
| Boneless Skinless Breast Fillet
|
| Pillsbury Pancakes Buttermilk
|
| Purple 100% Grape Juice
|
| Old Fashioned Quaker Oats
|
| Marshmallow Mateys
|
| Sunny D Original Tangy
|
| Doraditas Bimbo
|
| Tang Orange Drink Mix
|
| Country Time Lemonade Mix
|
| Knudsen Fat Free Sour Cream
|
| Las Palmas Enchilada Sauce Chile Verde |
| Costco Chicken Bake
|
| Caffe Nero Tiramisu
|
| Safeway French Bread
|
| Gansito Marinela
|
+----------------------------------------+
34 rows in set (0.00 sec)
mysql> SELECT AVG(servingSize)
-> FROM Food;
+-------------------+
| AVG(servingSize) |
+-------------------+
| 49.82844036697248 |
+-------------------+
1 row in set (0.00 sec)
mysql> SELECT Human_User.uName
-> FROM Human_User
-> WHERE Human_User.userID IN (SELECT Likes.userID
->
FROM Food, Likes
->
WHERE Likes.foodID =
115);
+---------------+
| uName
|
+---------------+
| vulturemetal |
| skillfulbask |
| dawntoddlers |
| dawnliberated |
+---------------+
4 rows in set (0.00 sec)
mysql> SELECT COUNT( Likes.foodID) AS NumLikes,
Food.foodName
-> FROM Likes, Food
-> WHERE Food.foodID = Likes.foodID
-> GROUP BY Food.foodName
-> ORDER BY NumLikes DESC
-> LIMIT 10;
+----------+----------------------------------+
| NumLikes | foodName
|
+----------+----------------------------------+
|
6 | Chiquita Banana
|
|
6 | Monster Beverage
|
|
6 | Corn Flakes
|
|
5 | Frosted Shredded Wheat Bite Size |
|
4 | Tang Orange Drink Mix
|
|
4 | Motts Apple Sauce
|
|
3 | Gala Apple
|
|
3 | Coca-Cola
|
|
3 | Garden Vegetable Medley
|
|
3 | Original Rockstar
|
+----------+----------------------------------+
10 rows in set (0.00 sec)
mysql> SELECT DISTINCT Food.foodName
-> FROM Likes, Food
-> WHERE Food.foodID = Likes.foodID;
+----------------------------------+
| foodName
|
+----------------------------------+
| Chiquita Banana
|
| Monster Beverage
|
| Corn Flakes
|
| Sunny D Original Tangy
|
| Tang Orange Drink Mix
|
| Frosted Shredded Wheat Bite Size |
| Pepsi Cola
|
| Hersheys Milk Chocolate
|
| Marshmallow Mateys
|
| Coca-Cola
|
| Purple 100% Grape Juice
|
| Old Fashioned Quaker Oats
|
| Grilled Chicken Marinara
|
| Lasagna
|
| Garden Vegetable Medley
|
| Boneless Skinless Breast Fillet |
| Gala Apple
|
| Motts Apple Sauce
|
| Original Rockstar
|
| Macaroni & Cheese
|
| Chicken Noodle Soup
|
| Pillsbury Pancakes Buttermilk
|
| Wheat Bread
|
+----------------------------------+
23 rows in set (0.00 sec)
mysql> exit
Bye
10. Snapshots of the Database
There were several attempts to implement a simple and working search function
for food items. The ideal scenario is that this would have worked in the home page
of NutriData.
As a decorative touch, the team added CSS cascading menus to navigate the page.
11. Group Participation
Joacim Soto: For the course of the semester I felt that we both participated intensely
in the making of the database. We definitely had times were we found ourselves in
the need to correct or change something and the issue was eventually resolved. I
apologized/ notified to Andrew for missing some days I found myself unable even to
attend classes due to illness or other circumstances but in our meetings we were
extremely effective in making progress. Andrew and I designed the ER diagram but
he was responsible for drawing it, he entered a fair portion of data into the
database, and was effective in implementing the php pages at the end. As for me, I
also entered and corrected a fair amount of data, I did a lot of testing and
corrections since I had ready access to the database. We both did a lot of analysis as
we figured for example some attributes and relationships needed to be changed.
And I also wrote the reports and at the end, I designed the webpage and tried to add
the extra functionality but this was done in very short time.
Andrew Obregon: