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a5ba6db
adding gitignore
paunavarrogaspar Jun 30, 2020
8541a65
Merged public transportation and bus stops together
paulabarge Jun 30, 2020
bd1e2fe
Adding air quality csvs from 2019 and trying to place them all together
paulabarge Jun 30, 2020
f56616a
changes to solve the Neighborhood.Name problem
paunavarrogaspar Jun 30, 2020
d2c9a2d
datasets
martapalleiro Jul 1, 2020
6140aeb
Air quality 2018
martapalleiro Jul 1, 2020
10527f0
Transport stops per neighborhood calculated
paunavarrogaspar Jul 1, 2020
b5ed319
Adding 2020 Data to the Folder
paulabarge Jul 1, 2020
e5f6485
Adding Covid Analysis. Not yet finished
paulabarge Jul 1, 2020
f0ad49e
Adding Covid Analysis,not yet finished
paulabarge Jul 1, 2020
f57c897
adding pollution 2018 database
paunavarrogaspar Jul 1, 2020
f9d86f9
Merge branch 'master' of https://github.com/paunavarrogaspar/Project-…
paunavarrogaspar Jul 1, 2020
9bfe8f3
Measurment areas definition started
paunavarrogaspar Jul 1, 2020
e13bcae
Adding district and air stations correlation plus next steps to follow.
paulabarge Jul 1, 2020
707bf5a
Created function to stablish district of each air station
paunavarrogaspar Jul 1, 2020
5bec525
Adding last changes Pau made to the Pollution Database
paulabarge Jul 2, 2020
34f692e
Pollution-Public transports part
paunavarrogaspar Jul 2, 2020
7591a35
Adding Pollution Database analysis and cleaning
paulabarge Jul 3, 2020
ec80299
Adding analysis transport
martapalleiro Jul 3, 2020
436eb56
Adding modifications to Analysis Transport Database
martapalleiro Jul 3, 2020
d65d6a6
Updated README
paunavarrogaspar Jul 3, 2020
46d6e58
cleaned repo
paunavarrogaspar Aug 25, 2020
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93 changes: 93 additions & 0 deletions .gitignore
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# Created by https://www.toptal.com/developers/gitignore/api/windows,macos,jupyternotebooks,microsoftoffice
# Edit at https://www.toptal.com/developers/gitignore?templates=windows,macos,jupyternotebooks,microsoftoffice

### JupyterNotebooks ###
# gitignore template for Jupyter Notebooks
# website: http://jupyter.org/

.ipynb_checkpoints
*/.ipynb_checkpoints/*

# IPython
profile_default/
ipython_config.py

# Remove previous ipynb_checkpoints
# git rm -r .ipynb_checkpoints/

### macOS ###
# General
.DS_Store
.AppleDouble
.LSOverride

# Icon must end with two \r
Icon

# Thumbnails
._*

# Files that might appear in the root of a volume
.DocumentRevisions-V100
.fseventsd
.Spotlight-V100
.TemporaryItems
.Trashes
.VolumeIcon.icns
.com.apple.timemachine.donotpresent

# Directories potentially created on remote AFP share
.AppleDB
.AppleDesktop
Network Trash Folder
Temporary Items
.apdisk

### MicrosoftOffice ###
*.tmp

# Word temporary
~$*.doc*

# Word Auto Backup File
Backup of *.doc*

# Excel temporary
~$*.xls*

# Excel Backup File
*.xlk

# PowerPoint temporary
~$*.ppt*

# Visio autosave temporary files
*.~vsd*

### Windows ###
# Windows thumbnail cache files
Thumbs.db
Thumbs.db:encryptable
ehthumbs.db
ehthumbs_vista.db

# Dump file
*.stackdump

# Folder config file
[Dd]esktop.ini

# Recycle Bin used on file shares
$RECYCLE.BIN/

# Windows Installer files
*.cab
*.msi
*.msix
*.msm
*.msp

# Windows shortcuts
*.lnk

# End of https://www.toptal.com/developers/gitignore/api/windows,macos,jupyternotebooks,microsoftoffice
157 changes: 0 additions & 157 deletions Kick-Off.md

This file was deleted.

52 changes: 52 additions & 0 deletions README.md
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<img src="https://bit.ly/2VnXWr2" alt="Ironhack Logo" width="100"/>

# Pollution and public transport data analysis
*[Paula Iglesias, Pau Navarro & Marta Palleiro]*

*[Data Analytics, Barcelona, June 2020]*

## Content
- [Project Description](#project-description)
- [Questions & Hypotheses](#questions-hypotheses)
- [Dataset](#dataset)
- [Database](#database)
- [Workflow](#workflow)
- [Organization](#organization)
- [Links](#links)


## Project Description
We analyze the available data on pollution during the first half of 2018 and the data on public transport in Barcelona and try to grasp the relationship between the two.

## Questions & Hypotheses
The main hypothesis we work for is the positive influence of the availability of public transport options on the air pollution of the district. Then, we also try to see what districts have more pollution, what is the quality of the air on the districts, the density of public transport and the types in every district.

## Dataset
We used the datasets on Transportation called "public-transport.csv" and "bus-stops.csv".
We also used the dataset on Urban Evironment called "air_quality_2018_project2.csv".
Both databases can be found on this repository.

## Workflow
1. Fork repository
2. Clone github
3. Create gitignore
4. Select a topic
5. Research the topic
6. Brainstorm questions
7. Make hypothesis
8. Define the structure to follow for the questions
9. Import datasets
10. Clean datasets
11. Perform analysis
12. Reach conclusions
13. Prepare complementary documents

## Organization
To organize ourselves, we kept a Trello board and created a slack chat.

## Links
This are some interesting links:

[Repository](https://github.com/paunavarrogaspar/Project-Week-2-Barcelona/)
[Slides](https://drive.google.com/file/d/1t5KFSkdj-KnAoRAqGlUxuro6TP3uVvE4/view)
[Trello](https://trello.com/b/CJBijEme/project2-dataftjun)
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