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Published directory entries matching your search.
An article comparing Topological Data Analysis results with those from t-SNE and UMAP packages. It discusses advantages of TDA coupled with self-supervised learning and covers case studies in IoT, image analysis and text analysis, plus open-source libraries for starting with TDA.
The Master's programme in Management & Data Science is an English-language M.Sc. programme combining management education with data science techniques. It is aimed at students wanting to advance skills in data analysis of real-world phenomena, and covers intelligent data analysis, artificial intelligence, machine learning and data mining. It runs over four semesters and 120 CP according to ECTS.
A book by Roger D. Peng and Elizabeth Matsui, dated 2017, about data analysis as an art. It discusses the thought process behind data analysis and covers R software development for building data science tools, including handling complex data, building R packages and custom data visualizations.
The Interactive Data Application from the U.S. Bureau of Economic Analysis provides access to BEA statistics, including national, international, regional and industry data. It organizes data by account and topic and offers printing, saving, exporting and charting, with data sharing via social tools. Data is updated in near real time.
The Climate Analysis Section Data Catalog was a resource for climate data from the Climate Analysis Section. The catalog has been archived in favor of the Climate Data Guide, which now serves as the place to view its datasets.
The KNMI Climate Explorer is a web-based scientific analysis tool from the Royal Netherlands Meteorological Institute. It offers access to over 10 TB of climate data and dozens of analysis tools for exploring and visualizing climate data in the browser, including time series, anomaly calculations, event comparisons, and trend analysis with significance testing. Results can be visualized and downloaded.
pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. It is described as a data analysis and manipulation tool built on top of Python. Documentation, a user guide and an API reference are available.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Awesome Data Analysis is a GitHub repository or organization with source code, releases, documentation, or project resources.
The online version of the work-in-progress third edition of the book ggplot2: Elegant Graphics for Data Analysis, published by Springer. It focuses on explaining the Grammar of Graphics that ggplot2 uses and describes its full details rather than serving as a cookbook. Written by Hadley Wickham, Danielle Navarro and Thomas Lin Pedersen.
Statsmodels is a Python package that complements scipy for statistical computations, including descriptive statistics and estimation and inference for statistical models. It provides linear regression models, generalized linear models, discrete models, time series analysis, survival analysis, multivariate methods and a range of statistical tests.
An awesome list of open-source tools for systematic reviews, meta-analysis, and evidence synthesis derived from Evidence Synthesis Tools Directory. It organizes tools under categories such as literature search, text mining and NLP, screening, data extraction, risk of bias, meta-analysis statistics, and visualization and reporting.
MetaReview is a free, open-source online meta-analysis tool that combines PubMed literature search, AI screening and data extraction, effect-size calculation for OR/RR/HR/MD/SMD, forest and funnel plots, subgroup and sensitivity analysis, PRISMA flow diagrams and report export. It runs in the browser without R, Stata or RevMan. A comparison page states the tool is free.
The IRI Data Library is a freely accessible online repository and analysis tool for climate-related data. It allows users to view, analyze and download hundreds of terabytes of data through a web browser, access datasets, create analyses with the Ingrid Data Analysis Language, monitor climate conditions in the Maproom, and download data in GIS-compatible formats.
This hub provides access to City of Abbotsford open data for discovery, analysis and download. Data can be downloaded in CSV, KML, Zip, GeoJSON, GeoTIFF or PNG formats, and API links are available for GeoServices, WMS and WFS. Charts and thematic maps support analysis, and users can create StoryMaps and Web Maps.
A guide that introduces data processing and cleaning in JavaScript, teaching how to load, modify and transform data using JavaScript libraries. It covers tasks geared around preparing data for further analysis and visualization, demonstrated with core JavaScript API, d3.js and lodash. It assumes some basic knowledge of JavaScript.
The National Center for Ecological Analysis and Synthesis (NCEAS), part of the University of California Santa Barbara, is a pioneer in synthesis and data science for ecology and environmental science. It conducts transformational research to accelerate discovery and benefit people and nature. The center offers data science programs, courses, training materials, research working groups, calls for proposals, an art+science senior fellowship and public seminars for the environmental science community.
TB Portals is a National Institute of Allergy and Infectious Diseases resource for tuberculosis data science, offering open-access multi-domain global TB data and tools. It lists TB cases, genomic sequences, chest X-ray and CT images, and contributing countries and sites. Its tools include an interactive 3D viewer, a case editor, cohort analysis in DEPOT, genomic analysis in GAP, and radiomics in RAP. Clinical data requests have moved to a separate NIAID address.
BOSCORF is described as the UK's largest deep-sea sediment repository and research facility, part of the National Oceanography Centre. It stores and curates sediment cores from UKRI-NERC research programmes, promotes secondary use of core samples and related data, and acquires physical and chemical data from geological cores via non-destructive analysis and imaging systems. It also offers training in core analysis and logging.
Data Science Toolbox applies AI to data analysis, extraction, visualization, or business intelligence.
Data Visualization Ai Excel Togetherai E2b is a Hugging Face Space created by user Akshayram1. It allows users to upload CSV datasets, ask questions about the data, and receive AI-generated analysis and corresponding visualizations in response.
DataLine is an AI data analysis and visualization tool that lets users chat with their data to generate tables, charts, and dashboards. The page describes it as suited to non-technical people querying data and to developers seeking a text2sql solution.
EMAGE is a database of mouse embryo gene expression data. The site offers search and analysis options including embryo space, combination queries, gene and protein terms, anatomical names and spatial annotations, along with gene and pathway summaries and direct data access. It reports counts of genes, assays, stages and images, and provides an image gallery and analysis tools.
Harvard Data Science applies AI to data analysis, extraction, visualization, or business intelligence.
