UEC Camp Data Science Demo

Data preparation

Data visualization

Data analysis basic

Google search engine

Google sheet

Google data studio

In this data science project on the Sarawak population, you will learn to prepare the dataset, visualize and analyze the data.

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Predictive modelling for population projection is not included due to limited data.

For those who are interested, you're encouraged to participate in the Machine Learning and programming courses offered by Swinburne.

Sarawak Population

Please let the instructors know if you need help anytime throughout the demo session.

1. Login to your Google account and go to https://datastudio.google.com/

2. Download the dataset from Sarawak data portal https://data.sarawak.gov.my/home/data/dataset/7972ccc4-36c6-42c4-b68c-977fa690ee2d 

3. ​Follow the instructions on Data Preparation, Visualization and Analysis.

4. Congratulations! You've created your first Data Dashboard!​

Sample: https://datastudio.google.com/s/lqx4T5ZWSbc​

Which divisions have high population density?

​Which ​divisions have high growth rate from 2010 to 2017 data?

Which division is the largest / smallest in Sarawak?

Which division is the most / least crowded in Sarawak?

Which division has the most number of foreigners? Why?

How does the ethic composition differ across divisions?

Why are the land area different for 2010 and 2017 (e.g. Samarahan)? ​​

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Any other interesting observation?​

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In today's demonstration, we have covered the basic steps in data analysis including data preparation, checking, visualization and simple descriptive analysis. With a major in data science, you will be able to learn how to extract more insights from data to answer interesting real world questions. For example, you could further analyze and predict how the population may grow by division in Sarawak and correlate it with the economic development including market demand, housing price, traffic conditions etc!

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In good quality data we trust