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: 9 days 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 (10 days ago)
• Default Branch: main
• Last Pushed: 2025-02-12T02:47:03.000Z (10 days ago)
• Last Synced: 2025-02-12T03:31:25.622Z (9 days ago)
• Topics: data-visualization, python
• Language: Jupyter Notebook
• Homepage:
• Size: 0 Bytes
• 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:

 ![image](https://github.com/user-attachments/assets/46f64a48-86a1-4143-9887-7c5a17407856)