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Everything about Data analysis

Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays an important role in making decisions more scientific and helping businesses operate more effectively. It is widely used in fields such as business analytics, healthcare, and artificial intelligence to extract meaningful insights from data. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Data analysisA 5-minute orientation
  2. Skim a recent paper: MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretationInfluential work since 2022
  3. Pick up a classic book: Advances in ComputersThe most-reprinted book on the subject
  4. Read the landmark paper: Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT MethodCited 168,111 times
  5. Go sideways: Predictive analyticsA closely related topic
  6. Go sideways: Exploratory data analysisA closely related topic

📖 Definitions

Noun The process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics