TIM-8550

Al Ghifari, N. T., Setijadi Prihatmanto, A., Wijaya, R., & Yusuf, R. (2020). Data Quality Measures and Data Cleaning for Pattern Analysis Angkot Transportation in Bandung City [Conference presentation]. 2020 International Conference on Smart Technology and Applications (ICoSTA), Smart Technology and Applications (ICoSTA), 1–7.

Ossooli, M. (2019). Data transformation - Where to begin? What once took tax professionals months now takes moments - but challenges remain. Tax Executive, 4, 30.

Holtz, Y. (n.d.). The R Graph Gallery.
Graphs in R and how to code them.

Toth, M. (2019, April 8). How to filter in R: A detailed introduction to the dplyr filter function. Learn R programming & build a data science career. Michael Toth.
This is a tutorial on filter with R.

Prabhakaran, S. (2016, December 9). Outlier detection and treatment with R. R-bloggers.
This is a great “how to” with R on outlier data.

9. Jupyter lab. (n.d.). Research Computing Workshops & Tutorials.
This is a good resource on how to plot with Jupyterlab.

Pyod. (n.d.). PyPI.
Use this to install the Python OD Toolbox

Computer vision news - March 2019. (n.d.). Get Effective Computer Vision Consulting and R&D from RSIP Vision.
This is a great article on how to use Python OD Toolbox.

Prabhu, T. N. (2019). Exploring the data using Python. Towards Data Science, Medium.
This fantastic resource which covers everything from data import and preprocessing to outlier detection and filtering.

Kaggle: Your Machine Learning and Data Science Community.
This is a great data science site with tips, data sets, and ideas.