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[Code Addition Request]: Google Search Analysis with Python #439

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Shreya7tripathy opened this issue Oct 10, 2024 · 2 comments · Fixed by #455
Closed
3 tasks done

[Code Addition Request]: Google Search Analysis with Python #439

Shreya7tripathy opened this issue Oct 10, 2024 · 2 comments · Fixed by #455
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Contributor Denotes issues or PRs submitted by contributors to acknowledge their participation. gssoc-ext hacktoberfest level1 Status: Assigned Indicates an issue has been assigned to a contributor.

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@Shreya7tripathy
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Have you completed your first issue?

  • I have completed my first issue

Guidelines

  • I have read the guidelines
  • I have the link to my latest merged PR

Latest Merged PR Link

#341

Project Description

I would like to propose the addition of a new project titled "Google Search Analysis with Python" under the Data Analysis section of our repository. This project aims to analyze trends and patterns in Google search data using Python, providing insights into user behavior and search interests.

Objectives:

Implement data retrieval from Google Trends using the pytrends library.
Analyze keyword (I want to use 'Data Analysis' as keyword) and their relevance to various topics.
Visualize search interest over time and by region.
And also see the trending topics .

Full Name

Shreya Tripathy

Participant Role

Contributer , GSSOC, Hacktoberfest

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🙌 Thank you for bringing this issue to our attention! We appreciate your input and will investigate it as soon as possible.

Feel free to join our community on Discord to discuss more!

@Shreya7tripathy Shreya7tripathy changed the title [Code Addition Request]: [Code Addition Request]: Google Search Analysis with Python Oct 10, 2024
@UTSAVS26 UTSAVS26 added Contributor Denotes issues or PRs submitted by contributors to acknowledge their participation. Status: Assigned Indicates an issue has been assigned to a contributor. level1 gssoc-ext hacktoberfest labels Oct 11, 2024
UTSAVS26 added a commit that referenced this issue Oct 19, 2024
### Requesting to submit a pull request to the PyVerse repository.

---

#### Issue Title
**Google Search Analysis with Python**

- [x] I have provided the issue title.

---

#### Info about the Related Issue
**What's the goal of the project?**  
The goal of the project is to analyze Google Search trends using
Python's PyTrends library. It involves keyword data analysis, regional
interest analysis, and visualization of search trends over time. The
project helps uncover search behavior and trending topics in India.

- [x] I have described the aim of the project.

---

#### Name
**Shreya Tripathy**

- [x] I have provided my name.

---

#### GitHub ID
**Shreya7tripathy**

- [x] I have provided my GitHub ID.

---

#### Email ID
**[email protected]** 

- [x] I have provided my email ID.

---

#### Identify Yourself
**GSSOC Contributer**

- [x] I have mentioned my participant role.

---

#### Closes
**Closes: #439  issue**

- [x] I have provided the issue number.

---

#### Describe the Add-ons or Changes You've Made
I added the "Google Search Analysis with Python" project under the data
analysis section and also added a readme.md file too . This project
leverages PyTrends to perform keyword data analysis, regional analysis,
and creates visualizations such as bar charts, pie charts,
interest-over-time graphs, and scatter plots. It also explores ongoing
trending topics in India.

- [x] I have described my changes.

---

#### Type of Change
- [ ] Bug fix (non-breaking change which fixes an issue)
- [x] New feature (non-breaking change which adds functionality)
- [ ] Code style update (formatting, local variables)
- [ ] Breaking change (fix or feature that would cause existing
functionality to not work as expected)
- [ ] This change requires a documentation update

---

#### How Has This Been Tested?
The changes were tested by running the Python script using the PyTrends
library to fetch real-time data from Google Trends, performing the
analysis, and generating visualizations. The project was tested locally,
and the visualizations were checked for correctness.

- [x] I have described my testing process.

---

#### Checklist
- [x] My code follows the guidelines of this project.
- [x] I have performed a self-review of my own code.
- [x] I have commented my code, particularly wherever it was hard to
understand.
- [x] I have made corresponding changes to the documentation.
- [x] My changes generate no new warnings.
- [x] I have added things that prove my fix is effective or that my
feature works.
- [x] Any dependent changes have been merged and published in downstream
modules.
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