I started working on regular expressions, and I started to understand the mechanisms of Tableau reader – a tool that aids the calculation of the Net Promoter Score and allows for the visualization of data. I applied python regular expressions and chain of responsibility on a “regex.yaml” file. I refreshed on my python skills by taking classes in Udemy and codecademy.
During week 2, I started to familiarize myself with Tableau Desktop, which is a powerful business intelligence and data visualization tool that has a very intuitive user interface. Tableau makes processes more efficient and better by helping understand the data better, grasp concepts and identify patterns. In Tableau, I worked on several assignments relating to the differences between dimensions, measurements, and attributes – and whether they are continuous or discrete. I will continue to explore the mechanisms of Tableau to effectively implement the NPS system. I will also continue to become proficient in Tableau, understanding the differences between measurements, dimensions, and attributes. Additionally, I will spend an entire week working with discrete and continuous functions to achieve my initial goal – to become proficient with Tableau. In week 3, I hope to work on documenting and cleansing my data via python
Thanks for reading,