TravelTimeReliability_2

---

Required Packages:

1. Pandas
2. Numpy
3. Plotly Express

Optional Packages:

4. Pandas Profiling
5. Datapane

---

The outline for this notebook is as follows:

---

Travel Time Reliability Issues

1. How to assess Reliability of your Travel Time Data -How reliable is the Travel Time Data?
2. How to Clean and Transform your Travel Time Data -Does cleaning the data affect the measures for business units?
3. How to set Performance Metrics for Business Unit Planning -How can we prioritize projects accordingly?

Data can be accessed here:

www.kaggle.com/dataset/fe7d61cd3fd8566a4630510daceb5d3cba3a63856fbe9bbe2f2be8316fae432d

OR

from kaggle.api.kaggle_api_extended import KaggleApi
api = KaggleApi()
api.authenticate()
api.dataset_download_files('alaska-travel-time-reliability')

you can reference https://technowhisp.com/kaggle-api-python-documentation/ for assistance

Note:

October 15, 2020 downloading repo as a .zip will corrupt the notebook with a NotJSONError