There are 12 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
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
Create beautiful and interactive Google Trends globe visualizations with ease
Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management - Mémoire/Thesis; HEC Montréal.
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
Python package to get the full time series for any search query with daily frequency.
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.
Projects using selenium, requests, bs4, and scrapy for web scraping on google images, google trends and others
simple Google trends API
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.
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.
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.
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.
Data and code related to research on Search Engine Geographies. Every day, billions of Internet users rely on search engines to find information about places to make decisions about tourism, shopping, and countless other economic activities. In an opaque process, search engines assemble digital content produced in a variety of locations around the world and make it available to large cohorts of consumers. Although these representations of place are increasingly important and consequential, little is known about their characteristics and possible biases.
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.
Domain Generation Algorithm developed with Google Trends
Explores cross-correlation between time series of internet search term frequency and subsequent stock losses.
A visualization of the historical interest of cryptocurrencies compared to their respective prices.
Trends search made with Google Trends API