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  2. Nutrition analysis - Wikipedia

    en.wikipedia.org/wiki/Nutrition_analysis

    Software is available as an alternative to laboratory nutrition analysis. This software typically utilizes a database of ingredients that have previously been laboratory tested. The user can input ingredient data by matching their ingredients to ingredients found in the database; the analysis can then be calculated.

  3. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    Ploticus – software for generating a variety of graphs from raw data; PSPP – A free software alternative to IBM SPSS Statistics; R – free implementation of the S (programming language) Programming with Big Data in R (pbdR) – a series of R packages enhanced by SPMD parallelism for big data analysis; R Commander – GUI interface for R

  4. Food composition data - Wikipedia

    en.wikipedia.org/wiki/Food_composition_data

    However, as the food supply has evolved, and with the increasing demand for nutritional and related components, it has become more difficult for compilers to rely only on chemical analysis when compiling FCDBs. For example, in the UK the third edition of The Composition of Foods [3] presented data on vitamin content of foods. However, due to ...

  5. Fatsecret - Wikipedia

    en.wikipedia.org/wiki/FatSecret

    Fatsecret was founded in 2006 in Melbourne, Australia by Lenny Moses and Rodney Moses. [1] As of 2019, Lenny serves as the company's CEO. [2] The company is known for its calorie counting and meal tracking app, and by April 2016, the company claimed to have 45 million users of its services.

  6. DHIS2 - Wikipedia

    en.wikipedia.org/wiki/DHIS2

    DHIS2 (also spelled DHIS 2, formerly District Health Information Software) is a free and open-source software platform for the collection, reporting, analysis and dissemination of aggregate and individual-level data. [1]

  7. Epi Info - Wikipedia

    en.wikipedia.org/wiki/Epi_Info

    Epi Info is used for analysis in medical research, and for data entry. Examples of its use for research include a study of eye conditions, [6] a study of healthcare infections [7] and a study of psychiatric morbidity. [8] Examples of papers that used Epi Info for data entry include a study on nutrition [9] and an epidemiological survey about ...