IE481_Data_Visualization

Visualization of KAIST people's daily life

Developers

Chul Hyun Choi

Sangwon Lee

---

How to run?

We use ABC+MSBAND data - which is is a data fronm KAIST people's smartphone and smartwatch(Microsoft band 2). After make "grouped.csv" from that data, we can run our code with below command.

python app.py

Our recent implementation : http://ie481-group2.herokuapp.com/

---

About files

• preprocess.ipynb - Preprocess raw data and classify activities and will generate "dataset.csv"

• make_group_from_dataset.ipynb - From "dataset.csv", sort and group the data for each datetime and generate "grouped_dataset.csv"

• Map_visualization.ipynb - code for making map visualizatoin

• assets/map{}.html - map visualization code which is used in our page

• app.py - Used to run both Flask and Dash server

---

Screenshot

Login Page

Main Page

---

Requirements

Python 3.7.4

click==7.1.1

dash==1.11.0

dash-core-components==1.9.1

dash-html-components==1.0.3

dash-renderer==1.4.0

dash-table==4.6.2

Flask==1.1.2

Flask-Compress==1.4.0

future==0.18.2

itsdangerous==1.1.0

Jinja2==2.11.1

MarkupSafe==1.1.1

numpy==1.18.2

pandas==1.0.3

plotly==4.6.0

python-dateutil==2.8.1

pytz==2019.3

retrying==1.3.3

six==1.14.0

Werkzeug==1.0.1

xlrd==1.2.0

gunicorn==19.4.5.