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  2. Industry average - Wikipedia

    en.wikipedia.org/wiki/Industry_average

    For liquidity ratios there are no signs of difference, also some profitability ratios with various of expense ratios. Users needs to determine an appropriate industry average ratio when used for comparisons with their own data. [12] Another potential problem for industry averages is the accuracy of the data used by individuals and organizations.

  3. Quick ratio - Wikipedia

    en.wikipedia.org/wiki/Quick_ratio

    In finance, the quick ratio, also known as the acid-test ratio, is a liquidity ratio that measures the ability of a company to use near-cash assets (or 'quick' assets) to extinguish or retire current liabilities immediately. It is the ratio between quick assets and current liabilities. A normal liquid ratio is considered to be 1:1.

  4. Compositional data - Wikipedia

    en.wikipedia.org/wiki/Compositional_data

    The only information is given by the ratios between components, so the information of a composition is preserved under multiplication by any positive constant. Therefore, the sample space of compositional data can always be assumed to be a standard simplex, i.e. =.

  5. Comma-separated values - Wikipedia

    en.wikipedia.org/wiki/Comma-separated_values

    Comma-separated values (CSV) is a text file format that uses commas to separate values, and newlines to separate records. A CSV file stores tabular data (numbers and text) in plain text, where each line of the file typically represents one data record.

  6. Global Industry Classification Standard - Wikipedia

    en.wikipedia.org/wiki/Global_Industry...

    The Global Industry Classification Standard (GICS) is an industry taxonomy developed in 1999 by MSCI and Standard & Poor's (S&P) for use by the global financial community. The GICS structure consists of 11 sectors, 25 industry groups, 74 industries and 163 sub-industries [ 1 ] into which S&P has categorized all major public companies .

  7. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Lossless compression of digitized data such as video, digitized film, and audio preserves all the information, but it does not generally achieve compression ratio much better than 2:1 because of the intrinsic entropy of the data. Compression algorithms which provide higher ratios either incur very large overheads or work only for specific data ...

  8. Industrial big data - Wikipedia

    en.wikipedia.org/wiki/Industrial_Big_Data

    Industrial big data refers to a large amount of diversified time series generated at a high speed by industrial equipment, [1] known as the Internet of things. [2] The term emerged in 2012 along with the concept of "Industry 4.0”, and refers to big data”, popular in information technology marketing, in that data created by industrial equipment might hold more potential business value. [3]

  9. FAME (database) - Wikipedia

    en.wikipedia.org/wiki/FAME_(database)

    FAME Desktop Add-in for Excel: FAME Desktop is an Excel add-in that supports the =FMD(expression, sd, ed,0, freq, orientation) and =FMS(expression, freq + date) formulas, just as the 4GL command prompt does. These formulas can be placed in Excel spreadsheets and are linked to FAME objects and analytics stored on a FAME server. Sample Excel ...