Translation components API.

See the Weblate's Web API documentation for detailed description of the API.

GET /api/translations/libo_help-7-6/textscalc01/es/units/?format=api&page=81
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
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            "source": [
                "<item type=\"input\">=CRITBINOM(100;0.5;0.1)</item> yields 44."
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            "target": [
                "<item type=\"input\">=BINOM.CRIT(100;0.5;0.1)</item> rendimientos 44."
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            "source": [
                "<bookmark_value>KURT function</bookmark_value>"
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                "<bookmark_value>CURTOSIS</bookmark_value>"
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                "KURT"
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                "CURTOSIS"
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            "priority": 100,
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            "source": [
                "<ahelp hid=\"HID_FUNC_KURT\">Returns the kurtosis of a data set (at least 4 values required).</ahelp>"
            ],
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            "target": [
                "<ahelp hid=\"HID_FUNC_KURT\">Calcula la curtosis (medición del grado de agudeza de la curva de frecuencia) de un grupo de datos (se deben introducir un mínimo de cuatro valores).</ahelp>"
            ],
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            "priority": 100,
            "id": 100438926,
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            "url": "https://translations.documentfoundation.org/api/units/100438926/?format=api",
            "explanation": "",
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        },
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-7-6/textscalc01/es/?format=api",
            "source": [
                "KURT(<embedvar href=\"text/scalc/01/ful_func.xhp#number255_1\" markup=\"keep\"/>)"
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            "target": [
                "CURTOSIS(<embedvar href=\"text/scalc/01/ful_func.xhp#number255_1\" markup=\"keep\"/>)"
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            "priority": 100,
            "id": 100438931,
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            "url": "https://translations.documentfoundation.org/api/units/100438931/?format=api",
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            "source": [
                "The parameters should specify at least four values."
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                "Los parámetros deben especificar por lo menos cuatro valores."
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            "priority": 100,
            "id": 100438934,
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            "source": [
                "<item type=\"input\">=KURT(A1;A2;A3;A4;A5;A6)</item>"
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                "<item type=\"input\">=CURTOSIS(A1;A2;A3;A4;A5;A6)</item>"
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            "source": [
                "<bookmark_value>LOGINV function</bookmark_value><bookmark_value>inverse of lognormal distribution</bookmark_value>"
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                "<bookmark_value>INV.LOG</bookmark_value><bookmark_value>inverso de la distribución normal logarítmica</bookmark_value>"
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                "LOGINV"
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                "INV.LOG"
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            "source": [
                "<ahelp hid=\"HID_FUNC_LOGINV\">Returns the inverse of the lognormal distribution.</ahelp>"
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            "target": [
                "<ahelp hid=\"HID_FUNC_LOGINV\">Calcula el inverso de la distribución normal logarítmica.</ahelp>"
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            "source": [
                "LOGINV(Number [; Mean [; StDev]])"
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                "INV.LOG(Número [; Media [; Desviación Estándar]])"
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            "note": "kK6DB",
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            "priority": 100,
            "id": 100438952,
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        },
        {
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            "source": [
                "<emph>Number</emph> (required) is the probability value for which the inverse standard logarithmic distribution is to be calculated."
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                "<emph>Número</emph>(requerido) es el valor de probabilidad para el que se va a calcular la distribución logarítmica estándar inversa."
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            "priority": 100,
            "id": 100438955,
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            "source": [
                "<emph>Mean</emph> (optional) is the arithmetic mean of the standard logarithmic distribution (defaults to 0 if omitted)."
            ],
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            "target": [
                "<emph>Media</emph> (opcional) es la media aritmética de la distribución logarítmica estándar (el valor predeterminado es 0 si se omite)."
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            "priority": 100,
            "id": 100438959,
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            "source": [
                "<emph>StDev</emph> (optional) is the standard deviation of the standard logarithmic distribution (defaults to 1 if omitted)."
            ],
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            "target": [
                "<emph>DESVEST</emph> (opcional) es la desviación estándar de la distribución logarítmica estándar (el valor predeterminado es 1 si se omite)."
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            "note": "PDJWU",
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            "priority": 100,
            "id": 100438963,
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            "source": [
                "<item type=\"input\">=LOGINV(0.05;0;1)</item> returns 0.1930408167."
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                "<item type=\"input\">=INV.LOG(0.05;0;1)</item> devuelve 0.1930408167."
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            "note": "Uh6oi",
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            "id": 100438967,
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            "source": [
                "<bookmark_value>LOGNORM.INV function</bookmark_value><bookmark_value>inverse of lognormal distribution</bookmark_value>"
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            "target": [
                "<bookmark_value>función INV.LOGNORM</bookmark_value><bookmark_value>inverso de la distribución normal logarítmica</bookmark_value>"
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        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-7-6/textscalc01/es/?format=api",
            "source": [
                "LOGNORM.INV"
            ],
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            "target": [
                "INV.LOGNORM"
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-7-6/textscalc01/es/?format=api",
            "source": [
                "<ahelp hid=\"HID_FUNC_LOGINV_MS\">Returns the inverse of the lognormal distribution.</ahelp>"
            ],
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            "target": [
                "<ahelp hid=\"HID_FUNC_LOGINV_MS\">Calcula el inverso de la distribución normal logarítmica.</ahelp>"
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            "id": 100438976,
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-7-6/textscalc01/es/?format=api",
            "source": [
                "This function is identical to LOGINV and was introduced for interoperability with other office suites."
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            "target": [
                "Esta función es idéntica a INV.LOG y se ha introducido por razones de interoperatividad con otros paquetes de oficina."
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            "id": 100438983,
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            "source": [
                "LOGNORM.INV(Number ; Mean ; StDev)"
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            "target": [
                "INV.LOGNORM(Número ; Media ; Desviación Estándar)"
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            "priority": 100,
            "id": 100438986,
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        },
        {
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            "source": [
                "<emph>Number</emph> (required) is the probability value for which the inverse standard logarithmic distribution is to be calculated."
            ],
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            "target": [
                "<emph>Número</emph> (obligatorio) es el valor del intervalo de probabilidad para el cual se calculará la distribución logarítmica estándar."
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            "priority": 100,
            "id": 100438990,
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            "source": [
                "<emph>Mean</emph> (required) is the arithmetic mean of the standard logarithmic distribution."
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            "target": [
                "<emph>Media</emph> (obligatorio) es la media aritmética de la distribución logarítmica normal ."
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            "priority": 100,
            "id": 100438993,
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            "source": [
                "<emph>StDev</emph> (required) is the standard deviation of the standard logarithmic distribution."
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            "target": [
                "<emph>DESVEST</emph> (requerido) es la desviación estándar de la distribución logarítmica estándar."
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            "priority": 100,
            "id": 100438996,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-7-6/textscalc01/es/?checksum=2a6409716cc1cc1d",
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-7-6/textscalc01/es/?format=api",
            "source": [
                "<item type=\"input\">=LOGNORM.INV(0.05;0;1)</item> returns 0.1930408167."
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            "target": [
                "<item type=\"input\">=INV.LOGNORM(0,05;0;1)</item> devuelve 0,1930408167."
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            "priority": 100,
            "id": 100439001,
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            "source": [
                "<bookmark_value>LOGNORMDIST function</bookmark_value><bookmark_value>lognormal distribution</bookmark_value>"
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                "<bookmark_value>Función DISTR.LOG.NORM</bookmark_value><bookmark_value>distribución normal logarítmica</bookmark_value>"
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            "id": 100439005,
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            "source": [
                "LOGNORMDIST"
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                "DISTR.LOG.NORM"
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            "source": [
                "<ahelp hid=\"HID_FUNC_LOGNORMVERT\">Returns the values of a lognormal distribution.</ahelp>"
            ],
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            "target": [
                "<ahelp hid=\"HID_FUNC_LOGNORMVERT\">Devuelve los valores de una distribución normal logarítmica.</ahelp>"
            ],
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            "source": [
                "LOGNORMDIST(Number [; Mean [; StDev [; Cumulative]]])"
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                "DIS.LOG.NORM(Número [; Media [; Desviación Estándar [; Acumulada]]])"
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            "source": [
                "<emph>Number</emph> is the probability value for which the standard logarithmic distribution is to be calculated."
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                "<emph>x</emph> es el valor del intervalo de probabilidad para el cual se debe calcular la distribución normal logarítmica."
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            "id": 100439017,
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            "source": [
                "<emph>Mean</emph> (optional) is the mean value of the standard logarithmic distribution."
            ],
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            "target": [
                "<emph>Media</emph> (opcional) es el valor medio de la distribución logarítmica estándar."
            ],
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            "id": 100439020,
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        {
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            "source": [
                "<emph>StDev</emph> (optional) is the standard deviation of the standard logarithmic distribution."
            ],
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            "target": [
                "<emph>Desv_estándar</emph> (opcional) es la desviación estándar de la distribución logarítmica estándar."
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            "priority": 100,
            "id": 100439022,
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        {
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            "source": [
                "<emph>Cumulative</emph> (optional) = 0 calculates the density function, Cumulative = 1 calculates the distribution."
            ],
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            "target": [
                "<emph>Acumulativa</emph> (opcional) = 0 calcula la función de densidad, Acumulativa = 1 calcula la distribución."
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