You are required to develop a data exploration report by completing the provided
Jupyter notebook to finish some required analysis, with the exploration data analytics
skills as well as visualization skills. Details requirements can be found in the provided
notebook, and you need follow the notebook requirements to complete the coding and
include the results into the report SIT742T1Report.pdf.
1.2.1 Data Exploration
For a data scientist, after obtaining the dataset, the first most crucial task is to obtain a
good understanding of the data he or she is dealing with. This includes: examining the
data attributes (or equivalently, data fields), seeing what they look like, what is the data
type for each field, and from this information, determining suitable numerical/visual
descriptions.
In this part of this assessment task, you need to complete the provided notebook coding
parts and finish the required analysis in the attributes such as ‘education’, ‘salary’ and
related demographic information (70%).