cpi-analysis

As a food lover who enjoys grocery shopping and cooking, this dataset on the Consumer Price Index (CPI) for Germany is particularly interesting to me for many reasons like understanding the CPI trends for food and beverages can help me budget more effectively for my grocery shopping. 🍲🛒

https://github.com/n1az/cpi-analysis

Science Score: 44.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
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    Found .zenodo.json file
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    Low similarity (11.5%) to scientific vocabulary
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Repository

As a food lover who enjoys grocery shopping and cooking, this dataset on the Consumer Price Index (CPI) for Germany is particularly interesting to me for many reasons like understanding the CPI trends for food and beverages can help me budget more effectively for my grocery shopping. 🍲🛒

Basic Info
  • Host: GitHub
  • Owner: n1az
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 537 KB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

 

Consumer Price Index Analaysis

Overview   |   Research Question   |   Tools   |   Requirements   |   Starting   |   License   |   Author


:dart: Project Overview

As a food lover who enjoys grocery shopping and cooking, this dataset on the Consumer Price Index (CPI) for Germany is particularly interesting to me for many reasons like understanding the CPI trends for food and beverages can help me budget more effectively for my grocery shopping. 🍲🛒

:sparkles: Research Questions

:heavycheckmark: 1. How have item prices evolved over the last five years?

:heavycheckmark: 2. For which product (or group of products) CPI has been stable for the last five years?

:heavycheckmark: 3. What is the correlation between the CPI for dairy products and the CPI for meat products?

:heavycheckmark: 4. For which product (or group of products) CPI has been increased and decreased the most?

:heavycheckmark: 5. Can we predict future trends in item prices based on historical CPI data?

:rocket: Tools

The following tools were used in this project:

:whitecheckmark: Requirements

This project is a Python-based data analysis project. The data used in this project is stored in the data folder. The main code for the project is in the src directory, specifically in the EDA.ipynb Jupyter notebook file. Before starting :checkered_flag:, you need to have Git, Python and all the other Tools installed.

:checkered_flag: Starting

```bash

Clone this project

$ git clone https://gitup.uni-potsdam.de/morshed1/rse-project-01/

Access

$ cd rse-project-01

Run src folder

$ jupyter notebook

The server will initialize in the http://localhost:8888

```

:memo: License

This project is under license from MIT. For more details, see the LICENSE file.

:black_nib: Citation

If you use this software, please cite it using this file.

:panda_face: Author

Made with :heart: by Md Niaz Morshed

 

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Owner

  • Name: Md Niaz Morshed
  • Login: n1az
  • Kind: user
  • Location: Berlin
  • Company: University of Potsdam

With all these finite moments I'm going towards the infinity.

Citation (CITATION.cff)

cff-version: 1.2.0
title: RSE Individual Project
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Md Niaz
    family-names: Morshed
    email: md.niaz.morshed@uni-potsdam.de
repository-code: >-
  https://gitup.uni-potsdam.de/morshed1/rse-project-01/-/tree/master/src
license: MIT
version: 1.0.0
date-released: '2024-05-12'

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