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discovery, anomaly and trend discovery, etc.According to the mining object , there are relational database, object-oriented database, spatial database, temporal database, text data source, multimedia database, heterogeneous database, Heritage database and global network web.According to the method of mining , it can be divided into: machine learning method, statistic method, neural network method and database method. Machine learning, can be
(scientific computing) community. Since entering the 21st century, the use of Python for scientific computing in industry applications and academic research is gaining momentum.Python will inevitably be close to other open source and commercial domain-specific programming languages/tools such as R, MATLAB, SAS, Stata, etc. for data analysis and interaction, exploratory
Before performing geostatistical analysis, it is critical to browse, familiarize, and examine your data. Drawing and examining data is a necessary phase in the process of geostatistical analysis, and we can obtain some prior knowledge from these tasks to guide the follow-up work.Stage 1 Plotting dataBy drawing
require Javascript, implemented in pure HTML5-CSS3. By default, the chart output is very beautiful, but you can customize the style for output (SASS style sheet ). 15. smoothie charts Smoothie charts is a very small dynamic flow chart library. Push a websocket to display real-time data streams. Smoothie charts only supports chrome and Safari browsers, and does not support text or pie charts. It is good at displaying streaming media
R Language Data Analysis Series VI --by Comaple.zhangIn the previous section, we talked about the R language mapping, and this section is about how to analyze the data when you get a data set, the first step in the analysis, and the exp
C, C + +, FORTRAN code integration into Python tools Pandas: A large number of data structures and functions that handle structured data Precise indexing, reshaping, slicing, chopping, aggregating, selecting subsets High performance time series features and tools Matplotlib: The most popular library for plotting data graphsIpython: Enh
Coursera Data Analysis Instance--r language How to classify spam messagesStructure of a Data analysis Steps for data analysis L DEFINE the questionL DEFINE the ideal data
R Language Data Analysis series six --by Comaple.zhangIn the previous section, we talked about the R language, and this section is about the first step in analyzing the data when you get a data set. Exploratory data analysis.Stat
I. Introduction of IPython IPython is an interactive Python interpreter, and it's more efficient. It differs from most traditional working modes (edit-and-compile-run),The working mode it uses is: Execute-and explore, and most of the code related to data analysis contains exploratory operations (such as trial and error methods and iterative methods), so IPython
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