Course Project for UCSD ECE143: Programming for Data Analytics
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Updated
Dec 8, 2022 - Jupyter Notebook
Course Project for UCSD ECE143: Programming for Data Analytics
A simple app that allows view themost popular searches of the day
Geographical Diffusion of IT Trends
Learn how to chart and track Google Trends in Data Studio using Python (WIP)
This is the second version of the Google Serch Trends API. Having completed the initial testing of the first version. The next step was to create a series of functions in line with the principles of object-oriented programming. Initially was created in a linear format as a proof of concept. Later split the code into five main functions.
This repository includes scripts I wrote when using various APIs.
R 程式語言實作:製作商業新聞文字雲、Google Trend 趨勢查詢、繪製股價圖
Model prediction
Experimental Design A/B testing
🦠 Using Google Trends Data to Predict Covid-19 Cases in Indonesia
[Incomplete] The beginnings of a stock data scraper that cross-references alphaadvantage stock data and google trend data
Google Trends Twitter bots to tweet the top trending Google searches for multiple countries
This repository contains python code used to collect daily Google Trends data on specific keyword groups between 2018 and 2021. In order to rescale the data, I use the method outlined in Brodeur et al. (2021).
Google trends 2021 viz of popular searches worldwide. Created with matplotlib.
Google trends analysis for the Kardashian/Jenner sisters
Forecast monthly revenues of listed companies in Taiwan.
This Streamlit tool automates the integration of Google Trends analysis with Google Search Console data to track performance trends for key search queries, good for SEO and content marketing.
Add a description, image, and links to the google-trends topic page so that developers can more easily learn about it.
To associate your repository with the google-trends topic, visit your repo's landing page and select "manage topics."