Distict

प्रश्न. eDistrict UP क्या है? उत्तर: सरकार द्वारा देशभर में चलाई जा रही eDistrict UP (e district up login) परियोजना ई-गवरनेन्स योजना के अर्न्तगत चलने वाली स्टेट मिशन मोड परियोजना है। इसका मुख्य उदेश्य जन केन्द्रित सेवाओ को कम्पयूटरीकरण करना है। e District UP Login ( eDistrict up.gov.in) से सरकार द्वारा आम लोगों को दी जाने वाली सम्पूर्ण सेवाओं को कम्प्यूटरीकृत किया गया है। ई डिस्ट्रिक्ट परियोजना के अंतर्गत प्रमाण पत्र, शिकायत एवं सूचना अधिकार, जन वितरण प्रणाली, पेन्शन, खतौनी, राजस्व वाद एवं रोजगार केंद्रों मे पंजीकरण संबंधित सभी सेवाओं को सम्मिलित किया गया है। इसके जरिए आप eDistrict UP : ई डिस्ट्रिक्ट यूपी, जाति, आय, निवास प्रमाण पत्र ऑनलाइन उत्तर प्रदेश ई डिस्ट्रिक्ट 2023 पोर्टल eDistrict UP, कुछ महत्वपूर्ण लेख UP EWS Certificate Registration Varasat Praman Patra UP – e District UP पोर्टल का संक्षिप्त विवरण पोर्टल का नाम eDistrict UP ( उत्तर प्रदेश ई डिस्ट्रिक्ट पोर्टल) उपलब्ध सेवाएं प्रमाण पत्र सेवाएं, अनुज्ञप्ति सेवाएं, राजस्व सेवाएं आदि लाभार्थी उत्तर प्रदेश के सभी नागरिक ई-डिस्ट्रिक्ट आधिकारिक वेबसाइट https://edistrict.up.gov.in/edistrictup/ e District UP Login उत्तर प्रदेश राज्य के ई डिस्ट्रिक्ट पोर्टल को हम e District UP Login के नाम से जानते हैं।इस E-District ( e district up login) पोर्टल को उत्तर प्रदेश सरकार द्वारा आरंभ किया गया है और यह भारत सरकार के ई गवर्नेंस योजना के अंतर्गत आता है। इसका उद्देश्य सभी जनकेन्द्रित सेवाओं का कंप्यूटरीकरण करना है। उत्तर प्रदेश के आम नागरिक शिकायतें,प्रमाण पत्र,पेंशन,खतौनी,जन वितरण प्रणालीजैसी जितनी भी सेवाएं हैं इन सभी सेवाओं को e...

distinct: Subset distinct/unique rows Description Select only unique/distinct rows from a data frame. This is similar to Usage distinct(.data, ..., .keep_all = FALSE) Value An object of the same type as .data. The output has the following properties: • Rows are a subset of the input but appear in the same order. • Columns are not modified if ... is empty or .keep_all is TRUE. Otherwise, distinct() first calls mutate() to create new columns. • Groups are not modified. • Data frame attributes are preserved. Arguments .data A data frame, data frame extension (e.g. a tibble), or a lazy data frame (e.g. from dbplyr or dtplyr). See Methods, below, for more details. ... Optional variables to use when determining uniqueness. If there are multiple rows for a given combination of inputs, only the first row will be preserved. If omitted, will use all variables. .keep_all If TRUE, keep all variables in .data. If a combination of ... is not distinct, this keeps the first row of values. Methods This function is a generic, which means that packages can provide implementations (methods) for other classes. See the documentation of individual methods for extra arguments and differences in behaviour. The following methods are currently available in loaded packages: dplyr:::methods_rd("distinct"). df % group_by(g) df %>% distinct(x) Run the code above in your browser using

Recent Examples on the Web This function seemed distinct from imagination until Frank and his colleagues showed that the activity of these cells does not always represent an animal’s actual location. — Ingrid Wickelgren, Scientific American, 8 June 2023 The league accrued some athletic successes, even as its players faced the risk of eventual exclusion from golf’s major tournaments, which are run by organizations that are close to, but distinct from, the PGA Tour. — Alan Blinder, New York Times, 6 June 2023 But that device and the applications for it that Xi described in his emails were distinct from the pocket heater, according to Xi’s lawsuit. — Daniel Wu, Washington Post, 6 June 2023 PAs are the only health care professional whose title is not inherently descriptive of their daily activities or field of study, and which inherently self-defines in relation to a separate, distinct profession. — Peter A. Young, STAT, 2 June 2023 Across the Spider-Verse sends Miles Morales, Gwen Stacy, and Peter Parker through a multiverse where each stop has been rendered in a distinct animation style. — Keith Phipps, Rolling Stone, 2 June 2023 As the pine needles on the ground quickly burned, the crews were left with a distinct black line of ash signifying the fire's containment line alongside a dirt road. — Lacey Latch, The Arizona Republic, 2 June 2023 Spend a day walking the streets—each one features a distinct combination of colors—or head to Wale Street to learn more about the area's...

This example uses the occurs_once that, when set to TRUE, will cause UNIQUE to return only values that appear once in the data. In the example shown, UNIQUE's arguments are configured like this: • array - B5:B16 • by_col - FALSE • occurs_once - TRUE Because occurs_once is set to TRUE, UNIQUE outputs the 2 values in the data that appear just once: "purple", and "gray". Notice the by_col argument is optional and defaults to FALSE, so it can be omitted: =UNIQUE(data,,TRUE) TRUE and FALSE can also be replaced with 1 and zero like this: =UNIQUE(data,0,1) Dynamic source range UNIQUE won't automatically change the source range if data is added or deleted. To give UNIQUE a dynamic range that will automatically resize as needed, you can use an I've been using exceljet for some time now, and I just thought I'd say thank you. Whenever I search something related to how to use an excel formula nowadays, I go to exceljet before I go to the actual support.office.com website. I find your content is really well written, your examples helpful, and everything is to the point.

In this article Syntax Table.Distinct( table as table, optional equationCriteria as any) as table About Removes duplicate rows from the table. An optional parameter, equationCriteria, specifies which columns of the table are tested for duplication. If equationCriteria is not specified, all columns are tested. Because Power Query sometimes offloads certain operations to backend data sources (known as folding), and also sometimes optimizes queries by skipping operations that aren't strictly necessary, in general there's no guarantee which specific duplicate will be preserved. For example, you can't assume that the first row with a unique set of column values will remain, and rows further down in the table will be removed. If you want the duplicate removal to behave predictably, first buffer the table using Example 1 Remove the duplicate rows from the table. Usage Table.Distinct( Table.FromRecords()