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Capstone Proj2023

This document summarizes survey data and demographics from Stack Overflow. It includes sections on the methodology used to collect data on technologies and respondent demographics. The results section shows charts and a dashboard analyzing trends in programming languages, databases, and platforms. It finds that JavaScript is the most used language currently and will be next year, while Python will break into the top 5 next year. The dashboard further explores the results and finds that most respondents are male, from the US, and between 20-30 years old.

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Tanjong Minyak Car Wash Sdn Bhd
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502 views20 pages

Capstone Proj2023

This document summarizes survey data and demographics from Stack Overflow. It includes sections on the methodology used to collect data on technologies and respondent demographics. The results section shows charts and a dashboard analyzing trends in programming languages, databases, and platforms. It finds that JavaScript is the most used language currently and will be next year, while Python will break into the top 5 next year. The dashboard further explores the results and finds that most respondents are male, from the US, and between 20-30 years old.

Uploaded by

Tanjong Minyak Car Wash Sdn Bhd
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 20

Survey Data &

Demographics
Report
By: Peter S
2nd July 2023
OUTLINE

• Executive Summary
• Introduction
• Methodology
• Results
• Visualization – Charts
• Dashboard
• Discussion
• Findings & Implications
• Conclusion
• Appendix
EXECUTIVE SUMMARY
• Lately, developers and techologist are
highly sought after in techonology job
sector
• Using data collected by StackOverflow,
we will compare the current and desired
trend desired by the respondent with
regards to:
• a)language
• b)database
• C)platform
• d)webframe
• Demography arebased on age, country and
education
INTRODUCTION
• We conduct analysis on the current and
future trends:
• Programming languages, platform and
webframe
• Demographic of the developers

• These can be used for future developers


to expend their career prospects.
METHODOLOGY
• Data collection:
• Survey data of developers by Stack
Overflow
• Saved as a csv file
• We were given two sets of data:
• i) technologies used
• ii) demographics of the respondents
RESULTS
PROGRAMMING LANGUAGE TRENDS
Current Year Next Year
PROGRAMMING LANGUAGE TRENDS - FINDINGS &
IMPLICATIONS

Findings Implications

• Javascript is currently • Implication 1


the most used language, • Implication 2
and will remain top next
year. • Implication 3
• Next Year Python will go
into top 5
• HTML/SQL will remain in
top 5
DATABASE TRENDS
Current Year Next Year

< Bar chart of top 10


databases for the next
year goes here.>
DATABASE TRENDS - FINDINGS &
IMPLICATIONS
Findings Implications

• PostgreSQL will be top • Implication 1


by next year • Implication 2
• MongoDB will will be • Implication 3
top3 next year
• MySQL and Microsoft
will remain in top5
DASHBOARD

https://eu-
de.dataplatform.cloud.ibm.com/dashboards
/b8cd2582-0338-45f6-81cd-
34d687f6ad91/view/5f61c9353fa814f37fd4cc
e407917d532b61270ebbbbd10a87827b49086970
97f03a1393c827185cd3135464f0ed110d9f
DASHBOARD TAB 1

Screenshot of dashboard tab 1 goes here


DASHBOARD TAB 2

Screenshot of dashboard tab 2 goes here


DASHBOARD TAB 3

Screenshot of dashboard tab 3 goes here


DISCUSSION
OVERALL FINDINGS & IMPLICATIONS
Findings Implications

• Majority of • Python is still


respondents are male favourite language
• Mostly from USA • PostgreSQL potentially
• Majority age between become top for future
20s and 30s • Android is dominating
• Developers are mostly
dominated by male in
20s and 30s
CONCLUSION
• The analysis shows changes in
trend of progamming languages,
databases, platform and
webframe used by developers.

• Mostl jobs are dominated by a


certain demography. But can be
achieved by any gender from
any country without different
education background.
APPENDIX
• Popular language
JOB POSTINGS

In Module 1 you have collected the job posting data using Job
API in a file named “job-postings.xlsx”. Present that data
using a bar chart here. Order the bar chart in the descending
order of the number of job postings.
POPULAR LANGUAGES

In Module 1 you have collected the job postings data using


web scraping in a file named “popular-languages.csv”.
Present that data using a bar chart here. Order the bar chart
in the descending order of salary.

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