https://github.com/adithivs/prodigy_ds_01
https://github.com/adithivs/prodigy_ds_01
data-science data-visualization python
Last synced: 29 days ago
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- Host: GitHub
- URL: https://github.com/adithivs/prodigy_ds_01
- Owner: AdithiVS
- License: bsd-2-clause
- Created: 2024-06-12T16:25:30.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-16T11:49:14.000Z (almost 2 years ago)
- Last Synced: 2025-01-21T20:14:56.377Z (over 1 year ago)
- Topics: data-science, data-visualization, python
- Language: Jupyter Notebook
- Homepage:
- Size: 516 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# PRODIGY_DS_01
# Data Science Internship Task 1
## Introduction
Information representation is a critical skill in the fields of data analysis and visualisation. Understanding how to make charts that may be customized can help you express ideas succinctly and precisely. Through the visualization of age distribution and gender breakdown, this exercise aims to improve data presentation abilities and facilitate a deeper comprehension of the data under consideration.
## Dataset
The dataset used is world_population_dataset.
The dataset covers population records from 2001 to 2022, offering insights into global demographic trends, age distribution, gender demographics, and other population-related factors. It serves as a valuable resource for understanding global population dynamics.
SP.POP.TOTL ==> Population, total
SP.POP.TOTL.FE.IN ==> Population, female
SP.POP.TOTL.MA.IN ==> Population, male
SP.POP.TOTL.FE.ZS ==> Population, female (% of total population)
SP.POP.TOTL.MA.ZS ==> Population, male (% of total population)
## Conclusion
Important insights into the distribution of the chosen variable were obtained from histogram and scatter plot of respective categorical variables of dataset. This inquiry lays the groundwork for future data science modeling assignments and investigations, providing a strong platform for analysis and decision-making.
## Contact Information 📩
For any inquiries or feedback regarding this project, please contact:
- Adithi Vellengara(LinkedIn)
- Email 📧: adithivs06@gmail.com