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Did you not activate the packet data service when you registered in the business hall (even if it is turned off later)? Go to the business hall to handle it, if it has been opened, it is a problem with the configuration of your mobile phone (some mobile phones simply do not support it!). )。
Also, you mean 2G (we've been using, not the new 3G), right?
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Is it a Nokia phone? It comes with it and does not need to apply. If yes, this is GPRS networking, and it can be like this. 1. CMWAP Settings Configuration Settings Personal Configuration Settings Operation Add Network Account: Name from Homepage:
**Port: 80 Transmission mode: Packet data Transfer mode setting:
Packet Data Access Point: CMWAP Network Type: IPv4 Authentication Type:
Normal Username: (empty) Password: (empty) 2. MMS Settings Configuration Settings Personal Configuration Settings Operation Add MMS Account:
Must be written as such) Use Preferred Access Point: Cancel Access Point Setting: **:
Packet Data Transmission Mode Settings: Packet Data Access Point: CMWAP Network Type:
IPv4 Authentication Type: Common Username: (empty) Password: (empty).
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The minimum value of each group is called the lower (group) limit, and the maximum value of each group is called the upper (group car) limit, and the group limit generally determines the quantitative limit of the nature of things. In the first group of 80 90, 90 is the maximum value of this group, so it is the upper limit of the first group. 80 is the lower limit for the second group.
In general, the overlapping limit is mostly used for the grouping of continuous variables, and when the flag value of a certain unit is just equal to the upper and lower limit values of two adjacent groups, this value is generally grouped into the lower bound. The non-overlapping group limit refers to the disconnection between the upper limit of the smaller group and the lower limit of the larger group in two adjacent groups, such as 100,499, 500,999, etc. The non-overlapping group limit is mostly used for the grouping of discrete variables.
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There are two methods of data grouping: univariate value grouping and group distance grouping. in continuous variables.
or in the case of a large number of variable values, group spacing is usually used. It divides all variable values into several intervals in turn, and groups the variable values of this interval. In group-spacing groupings, the minimum value of a group is called the lower bound; The maximum value of a group is called the upper limit.
Grouping principle. When using group-spacing grouping, it is necessary to follow the principle of no duplication and no omission. Non-duplication means that a piece of data can only be divided into one of the groups and cannot be repeated in other groups; No leakage means that the group can be exhausted, that is, each item of data in all the groups can be divided into one of the groups and cannot be omitted.
Grouping steps. Step 1: Determine the number of groups.
How many groups of data should I divide into groups? It is generally related to the characteristics of the data itself and the amount of data. Since one of the purposes of grouping is to observe the characteristics of the data distribution, the number of groups should be moderate.
If the number of groups is too small, the distribution of data will be too concentrated, and if the number of groups is too large, the distribution of data will be too scattered, which is not convenient for observing the characteristics and laws of data distribution. The number of groups should be determined to show the distribution characteristics and patterns of the data. In general, a set of data should be divided into no less than 5 groups and no more than 15 groups.
In practical application, the number of groups can be determined according to the amount and characteristics of the data and the analysis requirements.
Step 2: Determine the group spacing for each group. Group spacing is the difference between the upper and lower limits of a group. The group spacing can be determined according to the maximum and minimum values of all data and the number of groups divided, and the group spacing = (maximum value - minimum value) number of groups.
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Data grouping is to divide the original data into different groups according to some standardization according to the needs of statistical research, and the grouped data is called grouped data. There are two methods: univariate value grouping and group spacing grouping. Data grouping is to divide the original data into different groups according to some standardization according to the needs of statistical research, and the grouped data is called grouped data.
The main purpose of data grouping is to observe the distribution characteristics of the data. After the data is grouped, the frequency of the data in each group is calculated, and a frequency distribution table is formed.
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