by Trupti Dongaonkar | May 23, 2022 | Trupti Dongaonkar
Spatial data comes in a variety of different forms, of which the most common is in the form of latitude and longitude of a location. Means to analyze available spatial data add a lot of value to the analysis and give an added perspective to look into finding solutions...
by Trupti Dongaonkar | May 23, 2022 | Trupti Dongaonkar
During our training at The Data School, we have done a variety of data analysis and visualisation exercises trying to solve a range of practical business problems. However, the task that may perhaps have challenged us the most was using predictive modelling to solve...
by Trupti Dongaonkar | May 19, 2022 | Trupti Dongaonkar
Tableau, being such a powerful tool for data analysis and visualisation, has many cool features that can be utilised to do an effective and efficient storytelling. Recently I discovered one such cool feature of show/hide containers to save space, and show...
by Trupti Dongaonkar | Apr 26, 2022 | Trupti Dongaonkar
Welcome to our Dashboard Week, Day 1. The task today is to analyse the City of Melbourne’s Customer Service Requests dataset and gain some insights. About the dataset: The customer Service Requests dataset is an open-source dataset from the City of Melbourne website....
by Trupti Dongaonkar | Apr 14, 2022 | Trupti Dongaonkar
Thomas Edison said, “there is a way to do it better – find it”. And what’s a better way to identify improvements than via agile retrospectives! At data school, we use agile methodology to plan and deliver our work. We apply the same principles while we are...
by Trupti Dongaonkar | Apr 14, 2022 | Trupti Dongaonkar
At The Data School, we follow agile methodology and use the Scrum framework to plan and deliver our work. At its core, Scrum is based on the principle of empiricism, and transparency, inspection, and adaptation are the three pillars of empiricism as defined by the...
