https://github.com/relostar-devil/analyzing-naming-trends-using-python
Analyzes naming trends by processing baby names data from the Social Security Administration (SSA)
https://github.com/relostar-devil/analyzing-naming-trends-using-python
data-visualization python
Last synced: about 2 months ago
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Analyzes naming trends by processing baby names data from the Social Security Administration (SSA)
- Host: GitHub
- URL: https://github.com/relostar-devil/analyzing-naming-trends-using-python
- Owner: Relostar-Devil
- Created: 2025-02-12T02:43:13.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-12T02:47:03.000Z (over 1 year ago)
- Last Synced: 2025-04-06T06:43:47.482Z (about 1 year ago)
- Topics: data-visualization, python
- Language: Jupyter Notebook
- Homepage:
- Size: 7.17 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## Industry: General
## Problem Statement:
The dataset is in zipped format. We have to extract the dataset in the program,
visualize the number of male and female babies born in a particular year, and
find out popular baby names.
## Description:
This project not only focuses on implementing data manipulation and data
visualization using pandas library but also tests your ability to deal with real word
problem statements.
## Dataset:
Popular baby names data provided by the Social Security Administration (SSA) of the United States.
How to download the dataset:
● Go to https://www.ssa.gov/oact/babynames/limits.html
● Click on ‘National data’
● Get the zipped file
Here’s what the zipped folder looks like:
