There are 11 repositories under google-trends topic.
Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times
Web Extension — A new tab page extension with material design and useful features :new: :tada:
Attempt to predict future stock prices based on Google Trends data.
Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf
Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management - Mémoire/Thesis; HEC Montréal.
Create beautiful and interactive Google Trends globe visualizations with ease
Learn step-by-step how to scrape Google Trends data and make a result comparison using Python and Oxylabs SERP API. Extract keywords, their popularity, breakdown by region, related queries, and more.
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
A dashboard is worth a thousand words => https://datastudio.google.com/reporting/755f3183-dd44-4073-804e-9f7d3d993315
Download and measure global trends through Google searches
Topic Mine leverages 1st and/or 2nd party data to identify trending topics and uses our GEMINI to create relevant ads' texts. It generates headlines, descriptions and keywords given a list of products, brands or services and (optionally) additional info about them.
Python package to get the full time series for any search query with daily frequency.
Open Source Audio News Subscription Service (Google Trends, Hacker News & more).
An attempt to determine the direction of crypto asset price movement based on selected market information as well as to identify if there are leading indicators that could point the direction of movement.
simple Google trends API
Projects using selenium, requests, bs4, and scrapy for web scraping on google images, google trends and others
Cloud Functions I needed to build for my projects: Requesting from an API || Loading generated data and objects (pics) into Cloud Storage || Loading data from BigQuery for its processing.
R codes and dataset for the estimation of the high-dimensional state space model proposed in the paper "A dynamic factor model approach to incorporate Big Data in state space models for official statistics" with Franz Palm, Stephan Smeekes and Jan van den Brakel.
Correlation between google search trends and stock trading volume
Course Project for UCSD ECE143: Programming for Data Analytics
Ridgeline plot of popular Google searches in the United States. Created with ggridges.
Unofficial Rust API for interacting with Google Trend
A tool that predicts the dialect of English of an SMS message using recurrent neural networks supplemented with data from Google Trends.
Domain Generation Algorithm developed with Google Trends
A Node.js service for interacting with the Google Trends API, providing data fetching capabilities for interest over time, interest by region, daily trends, real-time trends, related queries, and related topics.
Explore real-time trends and gain valuable insights with Trend Vortex, a powerful Vue.js frontend application that connects to the Google Trends API. Stay ahead of the curve and uncover the pulse of the moment.
A visualization of the historical interest of cryptocurrencies compared to their respective prices.
Trends search made with Google Trends API