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ICT110 Introduction To Data Science

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Submit your assignment to Blackboard Task 2. Please follow the submission instructions on Blackboard. The assignment will be marked out of a total of 100 marks and forms 30% of the total assessment for the course. ALL assignments will be checked for plagiarism by SafeAssign system provided by Blackboard automatically. Refer to your Course Outline or the Course Web Site for a copy of the “Student Misconduct, Plagiarism and Collusion” guidelines. Assignment submission extensions will only be made using the official Faculty of Arts, Business and Law Guidelines. Requests for an extension to an assignment MUST be made to the course coordinator prior to the date of submission and requests made on the day of submission or after the submission date will only be considered in exceptional circumstances. ICT110 Introduction to Data Science Assignment 2 Page 3 of 7 Background A research team planned to study the heath development of the world in the past 15 years. The team retrieved the dataset from World Bank about Health and Population Statistics between 2001 and 2015.
 
The dataset contains the following attributes:
• Birth rate, crude (per 1,000 people)
• Fertility rate, total (births per woman)
• Adolescent fertility rate (births per 1,000 women ages 15-19)
• Death rate, crude (per 1,000 people)
• Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)
• Cause of death, by injury (% of total)
• Cause of death, by non-communicable diseases (% of total)
• Mortality caused by road traffic injury (per 100,000 people)
• Health expenditure per capita (current US$)
• GNI per capita, Atlas method (current US$)
• Health expenditure, private (% of GDP)
• Health expenditure, public (% of GDP)
 
 
• Health expenditure, total (% of GDP)
• Maternal mortality ratio (national estimate, per 100,000 live births)
• Immunization, BCG (% of one-year-old children)
• Life expectancy at birth, male (years)
• Life expectancy at birth, female (years)
• Life expectancy at birth, total (years)
• School enrollment, primary (% gross)
• School enrollment, secondary (% gross)
• School enrollment, tertiary (% gross)
• School enrollment, tertiary, female (% gross)
• Total alcohol consumption per capita (liters of pure alcohol, projected estimates, 15+ years of age)
• Unemployment, female (% of female labor force) (modeled ILO estimate)
• Unemployment, male (% of male labor force) (modeled ILO estimate)
• Unemployment, total (% of total labor force) (modeled ILO estimate) More details about the data attributes and data content can be found in the attached documents. Assignment Task You are a member of the team, and need to perform data analysis on countries in the region of East Asia & Pacific. The team has not set any specific goal for the analysis. Therefore, you have the freedom to explore the data, and dig out anything you feel interesting or significant.
 
ICT110 Introduction to Data Science Assignment 2 Page 4 of 7 You have been requested to prepare a data analysis report about your work and explain your findings. The potential audiences include other researchers, business representatives, and government agencies. They may have limited ICT or mathematical knowledge. To prepare the report, please follow the following outline:
 
 
1. Introduction Provide an introduction to the problem. Include background material as appropriate: who cares about this problem, what impact it has, where does the data come from.
2. Data Setup Describe how to load the data, and the libraries needed. Provide an overview of the data about its dimensions and structures.
3. Exploratory Data Analysis Perform 3 one-variable analysis. Plot at least one graph for each variable. Explain why the selected graph is appropriate. Perform 2 two-variable analysis. Plot at least one graph for each variable. Explain why the selected graph is appropriate The analysis can be performed on all years and all countries, or on a subset of your interest.
4. Advanced Analysis
4.1 Clustering Briefly explain the concept of clustering and k-means. Try to do a clustering analysis to group countries according to some selected attributes.
4.2 Linear Regression Briefly explain the concept of linear regression. Try to do 2 linear regression analysis. Plot the learned models. The analysis can be performed on all years and all countries, or on a subset of your interest.

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