1. MongoDB and Python Analysis
Robert, Kevin, Simi

2. Dataset Selection
For this assignment we chose the Young People Survey from kaggle.com
Data includes a large amount of 1-5 responses to various questions and answers to questions regarding demographics.

3. Loading into Mongo
$ mongoimport -d Assingment3 -c Youngpeepss --type csv --file /Users/robertbrasso/Python/responses.csv –headerline
Mongo – enter shell
Show dbs – list databases
Use Assignment3 – use Assignment3 database
Show collections – list collections
Db.Youngpeeps.find() – show documents in collection

4. Connect Mongo to Python
import pymongo
from pymongo import MongoClient client = MongoClient() #connects to local host over port (mongo default)
db = client.Assignment3
collection = db.Youngpeepss

5. Mongo Queries in Python
#Average weight,age, and height of males and females and unreported demographicsbygenderpipeline = [ {"$group": {"_id": "$Gender", "weightaverage" : {"$avg": "$Weight"}, "ageaverage" :{"$avg": "$Age"}, "heightaverage”:{"$avg":"$Height"}}}] print(list(db.Youngpeepss.aggregate(demographicsbygenderpipeline)))
OUTPUT: [{'_id': '', 'weightaverage': 64.2, 'ageaverage': 22.2, 'heightaverage': 172.0}, {'_id': 'male', 'weightaverage': , 'ageaverage': , 'heightaverage': }, {'_id': 'female', 'weightaverage': , 'ageaverage': , 'heightaverage': }]

6. Queries cont…
#Average age of all survey responders agepipeline = [ {"$group": {"_id": "null", "avgage":{"$avg":"$Age"}}}] print(list(db.Youngpeepss.aggregate(agepipeline)))
OUTPUT: [{'_id': 'null', 'avgage': }]

7. Phobia Survey
PHOBIAS
Flying: Not afraid at all Very afraid of (integer)
Thunder, lightning: Not afraid at all Very afraid of (integer)
Darkness: Not afraid at all Very afraid of (integer)
Heights: Not afraid at all Very afraid of (integer)
Spiders: Not afraid at all Very afraid of (integer)
Snakes: Not afraid at all Very afraid of (integer)
Rats, mice: Not afraid at all Very afraid of (integer)
Ageing: Not afraid at all Very afraid of (integer)
Dangerous dogs: Not afraid at all Very afraid of (integer)
Public speaking: Not afraid at all Very afraid of (integer)

8. Phobia Query
#Average response for Phobia survey questions by gender phobiaavgpipeline = [ {"$group": {"_id": "$Gender", "Ageing" :{"$avg": "$Ageing"}, "Dangerous Dogs" :{"$avg": "$Dangerous dogs"}, "Darkness" :{"$avg": "$Darkness"}, "Flying" :{"$avg": "$Flying"}, "Heights" :{"$avg": "$Heights"}, "Public Speaking" :{"$avg": "$Fear of public speaking"}, "Rats" :{"$avg": "$Rats"}, "Snakes" :{"$avg": "$Snakes"}, "Spiders" :{"$avg": "$Spiders"}, "Storms" :{"$avg": "$Storm"} }}] print(list(db.Youngpeepss.aggregate(phobiaavgpipeline)))

9. Phobia results OUTPUT:
[{'_id': '', 'Ageing': , 'Dangerous Dogs': , 'Darkness': , 'Flying': , 'Heights': , 'Public Speaking': 3.5, 'Rats': 2.0, 'Snakes': , 'Spiders': 3.0, 'Storms': },
{'_id': 'male', 'Ageing': , 'Dangerous Dogs': , 'Darkness': , 'Flying': , 'Heights': , 'Public Speaking': , 'Rats': , 'Snakes': , 'Spiders': , 'Storms': },
{'_id': 'female', 'Ageing': , 'Dangerous Dogs': , 'Darkness': , 'Flying': , 'Heights': , 'Public Speaking': , 'Rats': , 'Snakes': , 'Spiders': , 'Storms': }]

10. Visualizations – Stacked Bar Chart

11. Visualizations – Scatter Plot

12. Visualization – Normalized Pivot Bar Chart

13. Visualizations – Linear Regression
r-squared:
p value: e-88

14. Visualizations – Linear Regression
r-squared:
p value: e-15

15. Visualizations – Linear Regression
r-squared:
p value: e-66