Google Trends

As explained in Writing for Developers: Blogs that get read

Google Trends is a web service that reports relative search interest for terms and topics over time, locations, and categories.

Google Trends helps choose between similar search terms by comparing relative interest, changes over time, locations, categories, and related queries. section 7.4.1

Use it as a practical keyword-selection check:

• Compare competing terms to see which attracts more interest. section 7.4.1
• Check whether interest is rising, flat, or declining. section 7.4.1
• Inspect related queries for follow-up topics and possible ambiguity. section 7.4.1
• Use region, date range, and category filters before drawing conclusions. section 7.4.1

Streaming data versus event streaming

For a Kafka-like tool, compare both terms worldwide over five years in Computers & Electronics. “Streaming data” shows substantially higher interest; related queries also reveal that “event streaming” is diluted by livestreaming searches. section 7.4.1

Figure 7.6 Google Trends result for comparing interest in two similar search terms: event streaming and streaming data. There seems to be significantly higher interest in streaming data.

Inspect the comparison chart for the relative-interest result. section 7.4.1

How Writing for Developers: Blogs that get read covers it

How deep it goes

Demonstrates filtered term comparison and related-query inspection but stops short of explaining the service’s underlying measurement.

Examples

Uses a streaming-data versus event-streaming comparison with worldwide, five-year, and category filters.

What it assumes

Assumes only a need to choose search terms and teaches the comparison process through a concrete technical example.

What you can do after

Apply it via Google Trends to select stronger terms, detect declining interest, and discover related content ideas.

How it connects

Connects keyword research with SEO metadata, search intent, related queries, and audience research.

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Related concepts

• sentiment analysiscontrasts with · Sentiment analysis is the computational identification, classification, or measurement of opinions, attitudes, emotions, or evaluative polarity expressed in text or other data.
• proxy metrickind of · A proxy metric is an observable, measurable quantity or variable used to approximate a target attribute, quality, or outcome that is difficult to measure directly.
• visualizationproduces · Visualization is the representation of data, information, or concepts in visual form to support inspection, interpretation, analysis, or communication.
• search interestmeasures · Search interest is a normalized measure of the relative popularity of a search term or topic over a specified time and location.
• lidarmeasures · LiDAR is a remote-sensing technology that measures distance using emitted light pulses and their reflections to produce spatial data.

This explainer was generated by Manning's knowledge graph from the text of Writing for Developers: Blogs that get read. The section links point to the parts of the book it draws on.