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This article is about how the bar chart presents the data in the computer. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

The bar chart presents the data with "straight bars". The bar statistical chart is to use a unit length to represent a certain number, draw straight bars of different length according to the number, and then arrange these straight bars in a certain order; it is easy to see the number of various quantities from the bar statistical chart.

Statistical tables use "numbers" to present data. The bar chart presents the data with "straight bars".

Bar statistical chart is a unit length to represent a certain number, according to the number of straight bars of different length, and then arrange these straight bars in a certain order. It is easy to see the number of various quantities from the bar chart. Bar statistical chart is generally referred to as bar chart, also known as bar chart or bar chart.

Classification:

Bar statistical chart is divided into single bar statistical chart and compound bar statistical chart, the former only represents the data of one project, and the latter can represent the data of multiple items at the same time.

Frequency: generally speaking, we call the number of data in different groups as the frequency of that group (frequency)

Frequency: the ratio of frequency to the total number of data is frequency, and frequency × 100% is the percentage.

Applicable:

Bar statistical charts are mainly used to represent discrete data, that is, counting data.

The similarity between single bar chart and compound bar chart is that people can clearly see the quantity. The difference is that a single bar chart is used to compare an object, while a compound bar chart is used to compare the number of multiple objects.

Under the same conditions, n experiments were carried out, in which the number of events A (nA) is called the frequency of events A. The ratio nA/n is called the frequency of occurrence of event An and is recorded as fn (A). The literal representation is defined as: the ratio of the number of occurrences of each object to the total number of times is frequency.

⒈ when the number of repeated tests n increases gradually, the frequency fn (A) shows stability and gradually stabilizes to a certain constant, which is the probability of event A. This kind of "frequency stability" is commonly referred to as statistical regularity.

⒉ frequency is not equal to probability. According to Bernoulli's theorem of large numbers, when n tends to infinity, the frequency fn (A) is close to probability P (A) in a certain sense.

The relative frequency of random events occurred m times in n trials. In general physics, frequency refers to the number of vibrations per second, which can be random or deterministic.

Under certain conditions, the subjects are observed or tested, and each condition group is called an experiment. The result is called an event. In an experiment, events that may or may not occur are called random events.

The probability p (A) of random event An is a measure of the probability of the occurrence of the event. Its value is between 0 and 1. Under certain conditions, if event An is impossible, p (A) = 0; if event An is bound to occur, p (A) = 1. With the increase of the number of tests n, the frequency is more likely to be close to the probability, that is, δ is an arbitrary decimal value in the formula.

Thank you for reading! This is the end of the article on "how to present data in a bar chart in a computer". I hope the above content can be of some help to you, so that you can learn more knowledge. If you think the article is good, you can share it for more people to see!

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