data analysis
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Music metadata: What it is and why it matters
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How did my listening evolve? Spotify Wrapped 2024
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Wrapping up my 2023 in music
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Documenting machine learning models
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AI and tech ethics resources
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Music trends and data errors: 2022 in music
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Spotify Wrapped 2022: My listening personality and more
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Where to start with analytics for documentation
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2021 in Music: Spotify Wrapped, Last.fm, and Ethical Music Consumption
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Wrapping up 2020: Spotify, SoundCloud, and Last.fm data
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Define the question: How missing data biases data-driven decisions
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Collect the data: How missing data biases data-driven decisions
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Manage the data: How missing data biases data-driven decisions
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Analyze the data: How missing data biases data-driven decisions
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Visualize the data: How missing data biases data-driven decisions
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Communicate the data: How missing data biases data-driven decisions
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Decide with the data: How missing data biases data-driven decisions
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What’s missing? Reduce bias by addressing data gaps in your analysis process
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Listening to Music while Sheltering in Place
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Why the quality of audio analysis metadatasets matters for music
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Problems with Indexing Datasets like Web Pages
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Wrapping up the year and the decade in music: Spotify vs my data
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Unbiased data analysis with the data-to-everything platform: unpacking the Splunk rebrand in an era of ethical data concerns
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Detailed data types you can use for documentation prioritization
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Just Add Data: Using data to prioritize your documentation
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The Concepts Behind the Book: How to Measure Anything
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Planning and analyzing my concert attendance with Splunk
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Data enrichment at ingest-time, not search time, with Cribl
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Making Concert Decisions with Splunk
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My 2018 Year in Music: Data Analysis and Insights
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Reflecting on a decade of (quantified) music listening
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Quantified Health and Software Apps
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Metrication of the Self