recode spss

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R language ︱ basic function, statistic, common operation function _r︱ data operation and cleaning

equation solving or finding matrices 6, factor # #因子 (≈ text + number combination) #SPSS中值标签定义有异曲同工之妙 m=factor (1,0), Labels=c ("M", "F")); M #能够转化因子格式 + defined value tag m=as.factor (iris$setosa); M #上面的函数更有效, because As.factor can only be converted into factor format 7, input and output Library load package data load set up dataset load load save or Save.image saved data read.table read table Read.csv read comma-separated table Read.delim read

Building a database using hive

What if a company doesn't have the resources to build a complex, large data analysis platform? What if Business Intelligence (BI), data warehousing, and analysis tools cannot connect to the Apache Hadoop system, or are they more complex than requirements? Most businesses have employees with relational database management systems (rdbmses) and Structured Query Language (SQL) experience. Apache Hive allows these database developers or data analysts to use Hadoop without having to understand the Ja

Several methods of data standardization

introductions are X*=LOG10 (x), in fact, there is a problem, this result does not necessarily fall to the [0,1] interval, should also be divided by log10 (max), Max is the maximum sample data, and all the data is greater than or equal to 1. atan function Conversion Using the inverse tangent function can also realize the normalization of the data: It is important to note that if the interval you want to map is [0,1], the data should be greater than or equal to 0, and data less than 0 will be m

Increased clustering evaluation for Mahout

in the upper right corner, which is recorded as B1, and then find the average distance between the points and the two points in the lower right corner of the circle, and the smaller value of B2;B1 and B2 is B. [Size=1.166em] In IBM's SPSS Clementine, there is also the implementation of the Silhouett evaluation algorithm, but IBM provides a simplified version, the distance from a point to a class average, simplified to the centroid (centroid) of the d

IBM Zhu Hui: no single product can solve big data problems

management software of IBM China R D center shares information about IBM Big Data PlatformZhu Hui believes that enterprises must face 3 V challenges in the big data era, namely the Variety type, Velocity speed, and Volume capacity ). Currently, users need to manage various data types and data structures, from traditional table data to emails, images, videos, social networks, and other information; speed indicates the speed at which dynamic data is quickly generated and processed. The speed req

[Recommended] practical skills in reading and writing scientific research papers

expressive ability is embodied in the writing and speaking ability, and is a quality that needs to be cultivated for a long time. For example, if you find a rare case, you can write an article. If you cannot write it, you can only report one case. For example, if you have prepared a topic and published one or more articles, you can only write a summary or shot. A graph and a table are not expressions. Bidding documents with hundreds of thousands of words can win a large fund. Although the relat

Differences between data mining and statistical analysis

, which is a superficial phenomenon. Taking our courses as an example, the teacher spoke very seriously, but many people do not have a statistical basis, which seriously affects students' understanding of the analysis process and results. Analysis software such as SPSS and SAS are excellent, but the results still need to be explained. The value of statistical experts lies in this. The visualization of Data Mining is more successful than the statistica

Devil's agenda

when you get sober up. A new course was added. In the first eight mornings of a semester, two teachers from the Australian University of Queensland came to talk about video retrieval.The instructor's lecture ideas are extremely clear, and the questions are explained extremely clearly.Spatial Database is really interesting and challenging. Who said there is nothing to do with database? There are still many open problem problems, but are you capable of solving them?I thought that I was not compet

Analysis of Data Mining Technology

) Clementine of SPSS C) IBM intelligent miner D) Nearly other third-party processing packages 24. Analysis of MS Analysis Service A) MS Analysis Service includes OLAP and Data Mining B) analysis services organizes data in a data warehouse into multidimensional datasets that contain pre-computed aggregate data to provide quick answers to complex analysis queries. Analysis Services allows you to create a data mining model from both multidimensional (OLA

Recommended! Machine Learning Resources compiled by programmers abroad)

-means, etc. SVM under SVM-Julia. Kernel Density Estimator under kernal density-Julia Dimensionality loss ction-Dimension Reduction Algorithm Non-negative matrix decomposition package under NMF-Julia Neural Networks implemented by Ann-Julia Natural Language Processing Topic models-Julia topic Modeling Text Analysis Package under Text Analysis-Julia Data analysis/Data Visualization Graph Layout-A Graph Layout Algorithm implemented by Julia. Data frames meta-dataframes metaprogramming t

Machine Learning Resources overview [go]

NMF-Julia Neural Networks implemented by Ann-Julia Natural Language Processing Topic models-Julia topic Modeling Text Analysis Package under Text Analysis-Julia Data analysis/Data Visualization Graph Layout-A Graph Layout Algorithm implemented by Julia. Data frames meta-dataframes metaprogramming tool. Julia data-Julia database for processing table data Data read-read files from Stata, SAS, and SPSS Hypothesis test package in Hypothesis tes

Visual tool solo show

experiences with each other. Start other projects after a while. Recently, I have returned to visualization again. I decided to broaden my horizons first, so as to make the three products arrive at the same time, and abandon the road of losing my mind and seeing you again. Here are some software introductions I have seen in recent days and my summary: (Note: My goal is to find an open source software, preferably a Java-based software, library, and plug-in) 1. pajekIt is free but not open-sour

Recommended: several excellent open-source data mining tools

analysis components, each node on the tree represents a different operator ). Yale provides a large number of operators, including data processing, transformation, exploration, modeling, and evaluation. Yale is developed in Java and built based on WEKA. That is to say, it can call various analysis components in WEKA. Knime Knime (Konstanz informationminer, http://www.knime.org) is a well-developed data mining tool based on Eclipse development environment. No installation is required and it is

Now, in statistics or (theory/application) econometrics, can python be a perfect substitute for R and Stata?

math.I've had a similar puzzle before, so I've been talking to a professor, and that's the answer I got.Of course I'm not trying to make excuses for every year I'm calling to learn Python, and R Dafa is good. One advantage of R is that it is written by statisticians, and the disadvantage of R is that it is written by statisticians.In my definition, R/python/matlab, is basically can replace each other, the more difficult to choose the more the explanation can be. When I was repairing the ML, I a

OLAP--The ODS project summary--key in BI

current support vendors are many, the bottom line is to use database triggers, the workload is very large, are some boring repetitive code, reusability is not high.Class II ODS this seems to be a little more, before the bank transfer has a few hours after the business of the account. It is now very rare to build such an estimate using a higher performance Class III ODS.Category III ODS is a very common, often said ETL, that is, batch data processing is such a must match items. Manufacturers are

January 1, January

often say that this question is different from what I think in the book, and my ability is limited. Dizzy! He knows a lot about him! Currently, database is okay. I have successfully written the SQL statements on my computer and want them to work together. Computer network is full of Chinese characters. The difficulty is acceptable! The instructor of Digital Image Processing said, "I don't use teaching materials because I don't understand many of them ." Dizzy. I don't know what he said. It's st

Ten interview questions

50. Solve a SPSS pen questionQuestion: Enter the coordinates of the four points to verify whether the four points are a rectangle.Key points:1. The product of the slope on the adjacent sides is equal to-1,2. When the rectangular side is parallel to the coordinate system, the slope infinity cannot be determined by product.3. Four points may not be entered in order and need to be sorted by four points.Find the point T with the largest ordinate, the smal

Requirements for system maintenance Talents

Knowledge Engineering, machine learning, or data mining, have worked in the Design of Data mart or data mining, and have CPM knowledge, concepts, and practical experience, be familiar with tools such as SPSS and SAS, have the ability and experience of self-developed mining algorithms for statistical analysis and prediction, be familiar with mainstream operating systems, and have certain programming skills; strong mathematical skills, solid theoretica

What is boxplot)

What is a boxplotBox plot is often seen in the literature and is a common representation of data distribution. However, what you see is often not very clear. Therefore, you need to understand the plot process of the box plot and its significance.Computing process:1. Calculate the upper quartile, median, and lower quartile.2 calculate the difference between the upper quartile and the lower quartile, that is, the quartile difference (iqr, interquartile range)3. Upper and Lower ranges of the box pl

Tobie ranked first in the language rankings in April, and Lua fell first 20

Rexx 0.102% 45 R 0.101% 46 Powershell 0.096% 47 Euphoria 0.092% 48 Ch 0.091% 49 Natural 0.090% 50 Caml 0.089% The next 50 programming languages ages The following list of extensions ages denotes #51 to #100. Since the differences are relatively small, the programming versions are only listed (in alphabetical order ). ABC, Algol, Alpha, applescript, aspectj, beta, Boo, CG, clean, CSH, CT, cu

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