Chart Choice Guide: How to Choose the Right Chart Type
A practical chart choice guide for choosing the right chart type based on the analytical question, data shape, and the risk of misleading the reader.
Architecture decisions, trade-offs, and the code behind them.
A practical chart choice guide for choosing the right chart type based on the analytical question, data shape, and the risk of misleading the reader.
A practical guide to data science in the travel industry, covering AI and analytics use cases such as pricing, personalization, forecasting, support, and disruption response.
A practical guide to data science in telecom, covering AI and analytics use cases such as churn prediction, fraud detection, network optimization, pricing, and field operations.
A 2026 editorial refresh of the old 2019 trend list, focusing on which technology themes proved durable and which ones matter most now.
A refreshed guide to classical and modern text similarity approaches, from edit distance and token overlap to embeddings and hybrid retrieval.
A practical guide to data science in media and entertainment, covering use cases such as personalization, churn reduction, monetization, forecasting, and audience intelligence.
A practical comparison of speech processing APIs for speech-to-text, text-to-speech, streaming transcription, customization, and modern voice AI workloads.
An executive-friendly guide to the main branches of data science and how managers should think about the field, supported by a mindmap.
A practical comparison of top cloud computer vision APIs and vision services, focused on fit, tradeoffs, and when to use a managed API instead of custom models.
A 2026 comparison of text processing APIs across Google Cloud, AWS, Azure, and IBM, covering sentiment analysis, entity extraction, translation, customization, and platform fit.
A refreshed take on how to analyze startup geography, using the original state-level study as a historical example of location-based exploratory analysis.
A practical guide to data science in retail, covering analytics and AI use cases such as forecasting, pricing, personalization, merchandising, fraud prevention, and omnichannel operations.