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PROBLEM & MOTIVATION

In recent years, there is massive growth in the software industry. In order to help prospective coders who wish to pursue a career in this industry, it is crucial for them to understand what is in demand and what to expect from the industry. This will help to guide young coders, such as ourselves, to better manage our expectations and make more informed decisions while we are preparing to join this booming industry.

OBJECTIVE

For our project, we will be focusing on 3 main objectives. It is as follows:

• Gain overall insights on developers demographics (the Stack Overflow community)
• Gain insights on job prospects for developers and their work culture. This would provide a glimpse into the software industry and allow users to understand the relations among salary, work hours and challenges faced by developers
• Understand the most popular/relevant programming languages, databases, frameworks and platforms. This will allow prospective coders to know which skills and knowledge that give them the best advantage in the industry.

SELECTED DATASET

We chose the StackOverflow Developer Survey 2019 dataset (at https://www.kaggle.com/mchirico/stack-overflow-developer-survey-results-2019), as StackOverflow is currently the largest online developer community. The dataset provided is freely accessible, and analysis of this dataset would provide a glimpse about the overall developer community.

The dataset contains 88,883 survey responses, with each row corresponding to one respondent, and each of the 85 different columns corresponding to the survey questions. Below is a quick summary about the data provided and their attributes, categorized by each of our 3 main objectives as mentioned above.

	Data Attributes	Data Provided
Background	Likert	Extent of considering oneself as a stack overflow member
	Numerical, Discrete	Age
	Categorical	Gender Ethnicity Profession Education Frequency and Purpose of using StackOverflow
	Binary	Coding for hobby Have dependents
Job prospects	Likert	Job satisfaction Job competence
	Numerical, Continuous	Salary
	Numerical, Discrete	Hours worked a week Hours spent on code review
	Categorical	Work structure, work challenges, working remotely Code review
Skills	Categorical	Programming languages, databases, platforms, and web frameworks Developer tools used Operating system used

BACKGROUND SURVEY

Reference of Other Visualization	Learning Points
	This Choropleth map shows the distribution of the number of professional software developers in Europe by country Pros: It is very effective in showing the distribution of professional software developers in a glance. Darker shades represent a higher concentration of developers and vice versa. Cons: There is a lack of labeling on the map. For countries that have similar shading, it can become difficult for readers to differentiate the rankings for those countries.
	This Choropleth map shows the distribution of the number of professional software developers in Europe by country Pros: It is very effective in showing the distribution of professional software developers in a glance. Darker shades represent a higher concentration of developers and vice versa. Cons: There is a lack of labeling on the map. For countries that have similar shading, it can become difficult for readers to differentiate the rankings for those countries.
	This Choropleth map shows the distribution of the number of professional software developers in Europe by country Pros: It is very effective in showing the distribution of professional software developers in a glance. Darker shades represent a higher concentration of developers and vice versa. Cons: There is a lack of labeling on the map. For countries that have similar shading, it can become difficult for readers to differentiate the rankings for those countries.
	This Choropleth map shows the distribution of the number of professional software developers in Europe by country Pros: It is very effective in showing the distribution of professional software developers in a glance. Darker shades represent a higher concentration of developers and vice versa. Cons: There is a lack of labeling on the map. For countries that have similar shading, it can become difficult for readers to differentiate the rankings for those countries.

COMMENTS

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