https://github.com/sondosaabed/oil-vs-bigtech-stock-investigation

💹📈Investigating the oils market prices in addition to the stock market prices between the start of 2001 to the end of 2023. 💰📉
https://github.com/sondosaabed/oil-vs-bigtech-stock-investigation

advanced-data-wrangling api data-analyst-nanodegree data-assessment data-gathering data-science python requests wrangling-data

Last synced: about 2 months ago
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💹📈Investigating the oils market prices in addition to the stock market prices between the start of 2001 to the end of 2023. 💰📉

• Host: GitHub
• URL: https://github.com/sondosaabed/oil-vs-bigtech-stock-investigation
• Owner: sondosaabed
• License: apache-2.0
• Created: 2024-05-30T20:56:33.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-07-05T18:16:34.000Z (6 months ago)
• Last Synced: 2024-07-05T23:51:04.816Z (6 months ago)
• Topics: advanced-data-wrangling, api, data-analyst-nanodegree, data-assessment, data-gathering, data-science, python, requests, wrangling-data
• Language: Jupyter Notebook
• Homepage:
• Size: 10.2 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Investigating Oil vs BigTech stock

In this project, the skills acquired from advanced data wrangling course are applied to gather and wrangle real-world data with two datasets. They are retrieved and extractd, then assessed programmatically and visually, accross elements of data quality and structure, and a cleaning strategy for the data was implemented. Then the updated data is stored into the directiry ./data as a data store, combined the data, and tried to answer a research question with these datasets.

## Problem Statement

In this reserach, the stock prices of major tech companies (such as Apple, Microsoft, Google, Amazon, and META) and oil prices over the period spanning from January 2001 to December 2005 are investigated. By examining historical data for both sectors, the aim is to uncover insights into how changes in oil prices impact the financial performance of big tech companies, and vice versa.

The datasets would include the stock market data for:

- META

- AMazon

- Google

- Apple

- Microsoft

## Solution Pipeline

1. Gather Data

2. Asses Data

3. Clean Data

4. Store Data

5. Answering Research Questions