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A 2.26 kΩ, 1%-precision resistor with 5 color bands (), from top, 2-2-6-1-1; the last two brown bands indicate the multiplier (×10) and the tolerance (1%).. An electronic color code or electronic colour code (see spelling differences) is used to indicate the values or ratings of electronic components, usually for resistors, but also for capacitors, inductors, diodes and others.
The first letter of the color code is matched by order of increasing magnitude. The electronic color codes, in order, are: 0 = Black; 1 = Brown; 2 = Red; 3 = Orange; 4 = Yellow; 5 = Green; 6 = Blue; 7 = Violet; 8 = Gray; 9 = White; Easy to remember. A mnemonic which includes color name(s) generally reduces the chances of confusing black and brown.
A common application of the 25-pair color code is the cabling for the Registered Jack interface RJ21, which uses a female 50-pin miniature ribbon connector, as shown in the following table. The geometry of the pins of the receptacle (right hand image) corresponds to the pin numbers of the table.
IEC 60227 Polyvinyl chloride insulated cables of rated voltages up to and including 450/750 V. IEC 60228 Conductors of insulated cables. IEC 60229 Electric cables – Tests on extruded over-sheaths with a special protective function. IEC 60230 Impulse tests on cables and their accessories.
The purpose of factor analysis is to characterize the correlations between the variables of which the are a particular instance, or set of observations. In order for the variables to be on equal footing, they are normalized into standard scores : where the sample mean is: and the sample variance is given by:
Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines, or bars) contained in graphics. The goal is to communicate information clearly and efficiently to users. It is one of the steps in data analysis or data science. According to Vitaly Friedman (2008) the "main ...
The main AI techniques used for fraud detection include: Data mining to classify, cluster, and segment the data and automatically find associations and rules in the data that may signify interesting patterns, including those related to fraud. Expert systems to encode expertise for detecting fraud in the form of rules.
e. In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling and thereby contrasts ...