by Divya Chaturvedi | Jul 13, 2022 | Divya Chaturvedi
5 mins read During my training in data school, we worked on several data projects. Each project involved requirement gathering with clients, understanding the dynamics of data, performing ETL operations and creating visualizations. The deadline for each project was 1...
by Divya Chaturvedi | Jul 13, 2022 | Divya Chaturvedi
How to optimise the use of colours? Colours portray the right meaning (red is bad, green is good, etc.) Don’t use too many colours. Beyond around 7 to 8 hues, it’s hard to tell them apart The colours are different enough in hue/saturation/brightness so that you can...
by Divya Chaturvedi | Jul 1, 2022 | Divya Chaturvedi
TV Show IMDb ratings We received assignment to create dashboard on IMDB data. The data wasn’t available in public domain, so it had to be fetched via IMDB API. It was challenging part, but as I love watching movies and tv series, hence understanding the data...
by Divya Chaturvedi | Jun 30, 2022 | Divya Chaturvedi
As a part of data school training during our dashboard week, we got the UK housing price index dataset to create a tableau dashboard. The dashboard has to be created to trend the housing price over years in the UK market. I chose to show only London market. This...
by Divya Chaturvedi | Jun 29, 2022 | Divya Chaturvedi
When and Where to spot the next UFO Introduction: As part of data school training, we got an interesting UFO dataset to build a Tableau dashboard and find a story. The source of data is web scrapping from the UFO information from https://nuforc.org/databank/ Used...
by Divya Chaturvedi | Jun 28, 2022 | Divya Chaturvedi
Eat Well, Feel Well, Look Well: Insights into Australian Food Composition Data Source: Food Standards Australia New Zeland (https://www.foodstandards.gov.au/science/monitoringnutrients/afcd/Pages/downloadableexcelfiles.aspx) As a part of the Data School Training...
