what is scale data ?

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https://www.mymarketresearchmethods.com/types-of-data-nominal-ordinal-interval-ratio/

Types of data measurement scales: nominal, ordinal …

Types of Data & Measurement Scales: Nominal, Ordinal, Interval and Ratio

In statistics, there are four data measurement scales: nominal, ordinal, interval and ratio. These are simply ways to sub-categorize different types of data ( here’s an overview of statistical data types) . This topic is usually discussed in the context of academic teaching and less often in the real world..

https://www.formpl.us/blog/measurement-scale-type

7 Types of Data Measurement Scales in Research
https://www.formpl.us/blog/measurement-scale-type
7 Types of Data Measurement Scales in Research Characteristics of a Measurement Scale. Identity refers to the assignment of numbers to the values of each variable in a… Levels of Data Measurement. The level of measurement of a given data set is determined by the relationship between the… Types …

https://www.statsdirect.com/help/basics/measurement_scales.htm

Measurement Scales and Data Types – StatsDirect
https://www.statsdirect.com/help/basics/measurement_scales.htm
Continuous data are numerical data that can theoretically be measured in infinitely small units. For example, blood pressure is usually measured to the nearest 2mm Hg, but could be measured with much greater resolution of difference. The interval measurement scale is intended for continuous data. Sometimes continuous data are given discrete values at certain thresholds, for example age a last birthday is a discrete value but age itself is a continuous quantity; in these situations it is …

https://machinelearningmastery.com/robust-scaler-transforms-for-machine-learning/

How to Scale Data With Outliers for Machine Learning
https://machinelearningmastery.com/robust-scaler-transforms-for-machine-learning/
It is common to scale data prior to fitting a machine learning model. This is because data often consists of many different input variables or features (columns) and each may have a different range of values or units of measure, such as feet, miles, kilograms, dollars, etc.

https://towardsdatascience.com/scale-standardize-or-normalize-with-scikit-learn-6ccc7d176a02

Scale, Standardize, or Normalize with Scikit-Learn | by …
https://towardsdatascience.com/scale-standardize-or-normalize-with-scikit-learn-6ccc7d176a02
Scale generally means to change the range of the values. The shape of the distribution doesn’t change. Think about how a scale model of a building has the same proportions as the original, just smaller. That’s why we say it is drawn to scale. The range is often set at 0 to 1.

https://www.researchgate.net/post/Difference-between-ordinal-and-scale-in-SPSS

Difference between ordinal and scale in SPSS
https://www.researchgate.net/post/Difference-between-ordinal-and-scale-in-SPSS
scale is simply a measurement of a phenomenon or characteristic, Working out a figure and saying that it is male or female amounts to scaling ie.classification popularly termed as nominal scale. It…

https://careerfoundry.com/en/blog/data-analytics/data-levels-of-measurement/

Levels of Measurement: Nominal, Ordinal, Interval & Ratio
https://careerfoundry.com/en/blog/data-analytics/data-levels-of-measurement/
The interval scale is a numerical scale which labels and orders variables, with a known, evenly spaced interval between each of the values. An oft-cited example of interval data is temperature in Fahrenheit, where the difference between 10 and 20 degrees Fahrenheit is exactly the same as the difference between, say, 50 and 60 degrees Fahrenheit. Learn more about

https://stackoverflow.com/questions/20256028/understanding-scale-in-r

Understanding `scale` in R – Stack Overflow
https://stackoverflow.com/questions/20256028/understanding-scale-in-r
If scale is a numeric-alike vector with length equal to the number of columns of x, then each column of x is divided by the corresponding value from scale. If scale is TRUE then scaling is done by dividing the (centered) columns of x by their standard deviations if center is TRUE, and the root mean square otherwise. If scale is FALSE, no scaling is done. This implies that your formula is correct

https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html

sklearn.preprocessing.scale — scikit-learn 0.24.2 …
https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html
The data to center and scale. axis used to compute the means and standard deviations along. If 0, independently standardize each feature, otherwise (if 1) standardize each sample. If True, center the data before scaling. If True, scale the data to unit variance (or equivalently, unit standard deviation).

https://statisticsbyjim.com/hypothesis-testing/analyze-likert-scale-data/

How to Analyze Likert Scale Data – Statistics By Jim
https://statisticsbyjim.com/hypothesis-testing/analyze-likert-scale-data/
Likert scales are the most broadly used method for scaling responsesin survey studies. Survey questions that ask you to indicate your level of agreement, from strongly agree to strongly disagree, use the Likert scale. The data in the worksheet are five-point Likert scale data for two groups.