🔧 A Python-based script to compare the popularity of multiple keywords using Google Trends data.

Question Generator

This repository includes scripts I wrote when using various APIs.

Analyzing Google Search to find the top 10 countries searching the word "Machine Learning" and other insights.

Search Analysis using Google Trends Analysis on Russian S400

Explore the 'Cultural Health Moments' project, analyzing the impact of cultural events on digital health consumers' search behavior. Access code, data, and insights to uncover opportunities for disease awareness and engagement strategies.

Import and analysis techniques for Google Trends data [PL]

Google Search Trending Analysis using Pytrends

Examples of using python library pytrends , made some queries and analysis on interest score and correlation of stock data

Makers in the City need DATA

Analyzing trends in the AI landscape over time using Google Trends and visualizing the results using Power BI

This project perform analysis about the term "Cloud Computing" . It analyses how many times the word has been searched and by how many people on daily,monthly and yearly basis in the whole world. After analysing this we can answer questions like when search was maximum,when it was minimum,what were the search trends, which countries have searche…

Crianção de nuvem de palavras com termos filtrados do Google Trends.

Approximately 3.5 billion searches are performed on Google daily, which means that approximately 40,000 searches are performed every second on Google. So Google search is a great use case for analyzing data based on search queries.

This project showcases how to perform Google search analysis using the Pytrends API, which provides insights from Google Trends. In this analysis, I focus on the search term "Machine Learning" to observe trends across different countries and over time.

一個基於 Google Trends API 的自動化數據分析工具，專門分析台灣上市公司的搜尋趨勢。通過收集與視覺化公司名稱和股票代碼的搜尋量數據，幫助理解大眾關注度與股市活動之間的關聯。

This script would pull googletrend data from API with Pytrend library. Main function to pull all data for selected category with defined time range

🔧 A Python-based script to compare the popularity of multiple keywords using Google Trends data, now with a Flask web interface for easy access and visualization.

This project was implemented as part of my master's thesis in the program "Specialization in Information Systems" at the Hellenic Open University (HOU)/https://www.eap.gr/en/postgraduate-specialization-in-information-systems/.