ANL203: Data Analytics Skills are Becoming Increasingly Valuable Important skills include how to Prepare Data: Analytics for Decision-Making, Assignment, SUSS, Singapore

Question 1
Data analytics skills are becoming increasingly valuable. Important skills include how to prepare data, analyze data, create data visualizations, and propose sustainable analytics solutions for a wide range of problems. Public data sets are a good starting point that one could tap on to apply analytics skillsets. Thus, the capability of searching and selecting suitable datasets from reliable sources is the first important skill to develop.

Our World In Data is an interesting application of open data. You may find the underlying public data sets and related visualizations. The site deals with large-scale datasets on important statistical trends with the country-to-country comparison.

(a) Explore and study the information, features, and data available on Our World In Data. Provide a summary to users who are interested to use the datasets on this site. Based on your understanding of big data, select one dataset from the Our World In Data site and explain whether the data matches the definition of big data.

(b) You were asked to study how the world population changes over time, it is useful to consider the rate of change rather than focusing only on the total population level. The exhibit below is presented to you. Read the chart and identify all the interesting pattern(s) and key future trends that are useful for your study.

(c) Identify a few datasets (from Our World In Data) that you think are relevant as empirical evidence to test this hypothesis: “rapid world population growth is a temporary phenomenon”. Discuss the data pattern that these datasets contain?

Explain one (1) benefit and one (1) challenge of using datasets from the website.
(d) Download the dataset “life-expectancy.csv” from Canvas. Interpret the dataset and describe its data attributes, data types, and useful statistic measures. Identify an interesting trend from the dataset.

(e) Recommend one (1) visualization that you believe communicates the key information about the dataset chosen in Part (d). You can use any software tool (e.g., Excel) to produce the proposed graphical chart. Provide a screenshot of the produced chart.