Use shell commands to analyze statistics logs and shell commands to collect statistics logs
When you need to collect user log information and analyze user behavior, you can use shell to conveniently retrieve a lot of data and place it in excel for statistics.
For example, for access with the address loadCustomProcess included in the
This article mainly introduces the Python text statistics function of the journey to the monkey with the word statistics operation, combined with examples of Python text reading, traversal, statistics and other related operations skills, the need for friends can refer to the next
This article describes the Python text statis
MySQL page access statistics and rankings, mysql access statistics rankings
MySQL page access statistics and rankings
Count the number of accessed pages to rank by resolution
SELECT CONCAT(`height` , '*', `width`) AS `resolution` , COUNT(CONCAT(`height`, '*', `width`)) AS `total` FROM `wifi_status_page` GROUP BY CONCAT(`height`, '*', `width`) ORDER BY `total` DES
1 statistics and its application fields
The methods used in data analysis can be divided into descriptive statistic method and inference statistic method.Descriptive statistics: Research data collection, processing, summary, icon description, generalization and analysis of statistical methodsInference statistics: A statistical method for studying how to use sampl
previous step of k,v key-value pairs to exchange position output for example: the input is ( " Hello " , 5) becomes (5, " Hello " )Scala> Val H3=h2.map (_.2,_.1)5. Sort The results by key valueScala> Val H4=h4.sortbykey (false) false= reverse true= Ascending6. use the map function to exchange a well-ordered key-value pair for example:(5,"Hello") (4,"Hadoop") becomes ( "Hello", 5) ("Hadoop", 4)Scala> Val H5=h4.map (_.2,_.1)7. the Word frequency stat
Group function and group statistics, group function statistics
Grouping Functions
Grouping functions commonly used in SQL
Count (): Count
Max (): calculates the maximum value.
Min (): Minimum value
Avg (): calculates the average value.
Sum (): Sum
-- Count the number of people in the emp table select count (*) from emp; -- count the number of people who receive the bonus select count (comm) from emp; --
Grouping statistics query (Chapter Summary) and grouping statistics chapter summary1. Five grouping functions are provided in SQL: COUNT (), AVG (), SUM (), MIN (), and MAX.2. The group by clause can be used to GROUP data, while the HAVING clause can be used to filter the grouped data again.3. Multiple grouping fields can be created at the same time during grouping.4. Grouping can be used not only for entit
WinXP, Win7, Win8
Copy codeThe Code is as follows: 'indicate the source for reprinting original content and referencing the core part of the code.
Hard disk read/write statistics. vbs
If (Lcase (Right (Wscript. FullName, 11) = "wscript.exe") Then
CreateObject ("WScript. shell "). run ("% Comspec %/C" Chr (34) "mode con cols = 52 lines = 22" " Title hard disk read/write statistics. vbs By: FastSLZ PCEVA O
Mysql obtains statistics for a specified period of time. mysql statistics
Mysql obtains statistics within a specified period of time.
By year
SELECT count (*), DATE_FORMAT (order_info.create_time, '% Y-% m-% D') AS count_by_date FROM order_info WHERE DATE_FORMAT (order_info.create_time,' % y ') = '20140901' group by count_by_date ORDER BY NULL
Monthly
Tags: mysql row to columnI read a blog post very well, it is easy to understand after reading, the post address is: http://www.cnblogs.com/lhj588/p/3315876.htmlRecently I met a friend in the group and said, so record:Assume that the table name is T. There are six fields in the list p1,p2,p3,s1,s2,s3Now wantSum of S1 values when p1=100Sum of S2 values when p2=100Sum of S3 values when p3=100To create a table:CREATE TABLE ' t ' (
' id ' int (one) not null auto_increment,
' s1 ' int (one) default NU
$city_id =null Acquired_users$recommendphone=null Acquired_users$receivephone=null group1 Acquired_users_with_orders = distinct ( acquired_users_with_orders) ###### #去掉, the number of people who are not in the same city to take a taxi .... On the off-site vouchers, off-site taxi, in the city statistics when neglected. Acquired_users_with_orders$passenger_phone=null Acquired_users_with_orders$forjoin = acquired_users_with_ orders$city_id acqui
HDU 2017 string statistics, hdu2017 string statistics
String statistics
Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)Total Submission (s): 40487 Accepted Submission (s): 22532
Problem Description calculates the number of occurrences of numeric characters in a given string.
The Input data has multiple rows. The first row is an i
Introduction to statistics written by Japanese statisticians. It is interesting to introduce the most common statistical application scenarios, such as sampling surveys, random comparisons, and regression analysis. If you are interested in statistics and want to review statistics, you can take a look.Agree with the author's thought in the book: Statistical thinki
Do not search, output stack sequence statistics, search sequence statistics
1627: Time Limit for output stack sequence statistics: 1 Sec memory limit: 128 MB
Description
Stack is a common data structure, where n elements wait for the top side of the stack to enter the stack, and the other side of the stack is the output stack sequence. You already know tha
2039. Tree statistics, 2039 statistics
★★Input file:counttree.inOutput file:counttree.outSimple comparisonTime Limit: 1 s memory limit: 128 MB[Description]
There are various versions of tree statistics. here you need to solve a simple problem: for a root Tree Containing N nodes, after numbering all vertices from 1 to N, for each node v, the number of vertices
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1.1 Processing with awkWhere $7 is the file name, $ $ is the size. $[$7]+=$10 indicates that the same file name size accumulates. The awk array can also be understood as a Python dictionary.++B[$7] The number of files with the same name is cumulative.
[emailprotected]:/var/log/nginx# awk ‘{a[$7]+=$10;++b[$7];total+=$10}END{for(x in a)print b[x],x,a[x]}‘ access.log 1 /png 2082 /a.jpg 4
, and total degrees of freedom = Group Freedom + inter-group degrees of freedom.
example: F-Statistic
3 groups ate different foods, with 3 measurements sampled, asking whether there were any effects on different foods. Or the sampled values are normal fluctuations.
H0:food does not make a difference,→μ1=μ2=μ3;
H1:it does
Assume H0 is true, will be used to f-statistic, f statistics, subject to F distribution,f to denote Fisher, biologist and statistic
The LAG () and lead () statistics functions are able to fetch the first n rows of the same field and the values of the last n rows in a single query . Such operations can be implemented using table joins to the same table, but using lags and leads is more efficient. The following examples of lag () and lead () are organized:LAG (expression,Sql> Select Year,region,profit, Lag (profit,1) over (order by year) as 51xit_exp from test;Year Region PROFIT 51x
When using PL/SQL, the first time you open the table, you will be prompted to "dynamic execution table is inaccessible, automatic statistics of this session is forbidden" error, a message is as follows: V$session,v$sesstat,v$statname is not authorized, do not have access to these tables, So there is no statistic in this law.Granted, of course. Authorized SQL is as follows:Sqlplus/nolog Enter the login page, and then execute Conn/as sysdba log on to th
When using PL/SQL, the first time you open the table, you will be prompted to "dynamic execution table is inaccessible, automatic statistics of this session is forbidden" error, a message is as follows: V$session,v$sesstat,v$statname is not authorized, do not have access to these tables, So there is no statistic in this law.Granted, of course. Authorized SQL is as follows:Sqlplus/nolog Enter the login page, and then execute Conn/as sysdba log on to th
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