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Premium project

Comparing Search Interest with Google Trends

Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.

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1 Tasks1,500 XP

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Project Description

Time series data is everywhere; from temperature records, to unemployment rates, to the S&P 500 Index. Another rich source of time series data is Google Trends, where you can freely download the search interest of terms and topics from as far back as 2004. This project dives into manipulating and visualizing Google Trends data to find unique insights. In this project’s guided variant, you will explore the search data underneath the Kardashian family's fame and make custom plots to find how the most famous Kardashian/Jenner sister has changed over time. In the unguided variant, you will analyze the worldwide search interest of five major internet browsers to calculate metrics such as rolling average and percentage change.

Project Tasks

  1. 1
    Welcome to the Browser Wars (1995 - )

Technologies

Python Python

Topics

Data ManipulationData VisualizationReporting
Lis Sulmont Headshot

Lis Sulmont

Workspace Architect at DataCamp

Lis holds a Master's degree in Computer Science from McGill University with a focus on computer science education research and applied machine learning. She's passionate about teaching all things related to data and improving the accessibility of these topics.
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