Java Data Analysis

相似文件 换一批

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

本帖隐藏的内容

Java Data Analysis.rar (15.79 MB, 需要: 10 个论坛币) 本附件包括：

• Java Data Analysis.azw3

2017-9-28 09:12:52 上传

需要: 10 个论坛币  [购买]

1. English | 19 Sept. 2017 | ISBN: 1787285650 | ASIN: B071DF8JSQ | 412 Pages | AZW3 | 19.95 MB
   
2. 
   
3. 
   
4. Key Features
   
5. 
   
6. Get your basics right for data analysis with Java and make sense of your data through effective visualizations.
   
7. Use various Java APIs and tools such as Rapidminer and WEKA for effective data analysis and machine learning.
   
8. This is your companion to understanding and implementing a solid data analysis solution using Java
   
9. 
   
10. Book Description
    
11. 
    
12. Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the aim of discovering useful information. Java is one of the most popular languages to perform your data analysis tasks.
    
13. 
    
14. This book will help you learn the tools and techniques in Java to conduct data analysis without any hassle. After getting a quick overview of what data science is and the steps involved in the process, you'll learn the statistical data analysis techniques and implement them using the popular Java APIs and libraries. Through practical examples, you will also learn the machine learning concepts such as classification and regression.
    
15. 
    
16. In the process, you'll familiarize yourself with tools such as Rapidminer and WEKA and see how these Java-based tools can be used effectively for analysis. You will also learn how to analyze text and other types of multimedia. Learn to work with relational, NoSQL, and time-series data. This book will also show you how you can utilize different Java-based libraries to create insightful and easy to understand plots and graphs.
    
17. 
    
18. By the end of this book, you will have a solid understanding of the various data analysis techniques, and how to implement them using Java.
    
19. 
    
20. What you will learn
    
21. 
    
22. Develop Java programs that analyze data sets of nearly any size, including text
    
23. Implement important machine learning algorithms such as regression, classification, and clustering
    
24. Interface with and apply standard open source Java libraries and APIs to analyze and visualize data
    
25. Process data from both relational and non-relational databases and from time-series data
    
26. Employ Java tools to visualize data in various forms
    
27. Understand multimedia data analysis algorithms and implement them in Java.
    
28. 
    
29. About the Author
    
30. 
    
31. John R. Hubbard has been doing computer-based data analysis for over 40 years at colleges and universities in Pennsylvania and Virginia. He holds an MSc in computer science from Penn State University and a PhD in mathematics from the University of Michigan. He is currently a professor of mathematics and computer science, Emeritus, at the University of Richmond, where he has been teaching data structures, database systems, numerical analysis, and big data.
    
32. 
    
33. Dr. Hubbard has published many books and research papers, including six other books on computing. Some of these books have been translated into German, French, Chinese, and five other languages. He is also an amateur timpanist.
    
34. 
    
35. Table of Contents
    
36. 
    
37. Introduction to Data Analysis
    
38. Data Preprocessing
    
39. Data Visualization
    
40. Statistics: Elementary statistical methods and their implementation in Java
    
41. Relational Database Access
    
42. Regression Analysis
    
43. Classification Analysis
    
44. Cluster Analysis
    
45. Recommender Systems
    
46. Working with NoSQL Databases
    
47. Big Data Analysis with Java
    
48. Appendix A

复制代码

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏2 回帖

关键词：Analysis Analysi alysis Analys Analy

这个尚未被和谐，快下！

1. /*  Data Analysis with Java
   
2. *  John R. Hubbard
   
3. *  March 30, 2017
   
4. */
   
5. 
   
6. package dawj.ch02;
   
7. 
   
8. import java.io.File;
   
9. import java.io.FileNotFoundException;
   
10. import java.io.FileOutputStream;
    
11. import java.io.IOException;
    
12. import java.util.Map;
    
13. import java.util.Scanner;
    
14. import java.util.Set;
    
15. import java.util.TreeMap;
    
16. import org.apache.poi.hssf.usermodel.HSSFRow;
    
17. import org.apache.poi.hssf.usermodel.HSSFSheet;
    
18. import org.apache.poi.hssf.usermodel.HSSFWorkbook;
    
19. 
    
20. public class FromMapToExcel {
    
21.     public static void main(String[] args) {
    
22.         Map<String,Integer> map = new TreeMap();
    
23.         load(map, "data/Countries.dat");
    
24.         print(map);
    
25.         storeXL(map, "data/Countries.xls", "Countries Worksheet");
    
26.     }
    
27.    
    
28.     /** Loads the data from the specified file into the specified map.
    
29.     */
    
30.     public static void load(Map map, String fileSpec) {
    
31.         File file = new File(fileSpec);
    
32.         try {
    
33.             Scanner input = new Scanner(file);
    
34.             while (input.hasNext()) {
    
35.                 String country = input.next();
    
36.                 int population = input.nextInt();
    
37.                 map.put(country, population);
    
38.             }
    
39.         } catch (FileNotFoundException e) {
    
40.             System.out.println(e);
    
41.         }
    
42.     }
    
43.    
    
44.     public static void print(Map map) {
    
45.         Set countries = map.keySet();
    
46.         for (Object country : countries) {
    
47.             Object population = map.get(country);
    
48.             System.out.printf("%-10s%,12d%n", country, population);
    
49.         }
    
50.     }
    
51.    
    
52.     /** Stores the specified map in the specified worksheet of
    
53.         the specified Excel workbook file.
    
54.      * @param map
    
55.      * @param fileSpec
    
56.      * @param sheet
    
57.     */
    
58.     public static void storeXL(Map map, String fileSpec, String sheet) {
    
59.         try {
    
60.             FileOutputStream out = new FileOutputStream(fileSpec);
    
61.             HSSFWorkbook workbook = new HSSFWorkbook();
    
62.             HSSFSheet worksheet = workbook.createSheet(sheet);
    
63.             Set countries = map.keySet();
    
64.             short rowNum = 0;
    
65.             for (Object country : countries) {
    
66.                 Object population = map.get(country);
    
67.                 HSSFRow row = worksheet.createRow(rowNum);
    
68.                 row.createCell(0).setCellValue((String)country);
    
69.                 row.createCell(1).setCellValue((Integer)population);
    
70.                 ++rowNum;
    
71.             }
    
72.             workbook.write(out);
    
73.             out.flush();
    
74.             out.close();
    
75.         } catch (FileNotFoundException e) {
    
76.             System.err.println(e);
    
77.         } catch (IOException e) {
    
78.             System.err.println(e);
    
79.         }
    
80.     }
    
81. }

复制代码

1. /*  Java Data Analysis
   
2. *  John R. Hubbard
   
3. *  Sep 13, 2017
   
4. */
   
5. 
   
6. package dawj.ch02;
   
7. 
   
8. import java.io.File;
   
9. import java.io.FileNotFoundException;
   
10. import java.util.HashSet;
    
11. import java.util.Scanner;
    
12. import java.util.Set;
    
13. import java.util.TreeMap;
    
14. 
    
15. public class FilteringData {
    
16.     private static final int MIN_AREA = 1000000;  // one million
    
17.     public static void main(String[] args) {
    
18.         File file = new File("data/Countries.dat");
    
19.         Set<Country> dataset = readDataset(file);
    
20.         
    
21.         for (Country country : dataset) {
    
22.             if (country.landlocked && country.area >= MIN_AREA) {
    
23.                 System.out.println(country);
    
24.             }
    
25.         }
    
26.     }
    
27.    
    
28.     public static Set readDataset(File file) {
    
29.         Set<Country> set = new HashSet();
    
30.         try {
    
31.             Scanner input = new Scanner(file);
    
32.             input.nextLine();  // read past headers
    
33.             while (input.hasNextLine()) {
    
34.                 set.add(new Country(input));
    
35.             }
    
36.             input.close();
    
37.         } catch (FileNotFoundException e) {
    
38.             System.out.println(e);
    
39.         }
    
40.         return set;
    
41.     }
    
42. }
    
43. 
    
44. /*
    
45. run:
    
46. Niger        21,563,607    1,268,447 true
    
47. Mali         18,689,966    1,221,566 true
    
48. Chad         14,965,482    1,257,604 true
    
49. Bolivia      11,052,864    1,083,614 true
    
50. */

复制代码

1. /*  Java Data Analysis
   
2. *  John R. Hubbard
   
3. *  Sep 13, 2017
   
4. */
   
5. 
   
6. package dawj.ch02;
   
7. 
   
8. import java.io.File;
   
9. import java.io.FileNotFoundException;
   
10. import java.util.HashMap;
    
11. import java.util.Scanner;
    
12. 
    
13. public class HashMapExample {
    
14.     public static void main(String[] args) {
    
15.         File dataFile = new File("data/Countries.dat");
    
16.         HashMap<String,Integer> dataset = new HashMap();
    
17.         try {
    
18.             Scanner input = new Scanner(dataFile);
    
19.             while (input.hasNext()) {
    
20.                 String country = input.next();
    
21.                 int population = input.nextInt();
    
22.                 dataset.put(country, population);
    
23.             }
    
24.         } catch (FileNotFoundException e) {
    
25.             System.out.println(e);
    
26.         }
    
27.         System.out.printf("dataset.size(): %d%n", dataset.size());
    
28.         System.out.printf("dataset.get(\"Peru\"): %,d%n", dataset.get("Peru"));
    
29.     }
    
30. }

复制代码

1. /*  Data Analysis with Java
   
2. *  John R. Hubbard
   
3. *  March 30, 2017
   
4. */
   
5. 
   
6. package dawj.ch02;
   
7. 
   
8. import java.io.File;
   
9. import java.io.FileNotFoundException;
   
10. import java.io.PrintWriter;
    
11. import java.util.Scanner;
    
12. 
    
13. public class MergingFiles {
    
14.     public static void main(String[] args) {
    
15.         File inFile1 = new File("data/Countries1.dat");
    
16.         File inFile2 = new File("data/Countries2.dat");
    
17.         File outFile = new File("data/Countries.dat");
    
18.         try {
    
19.             Scanner in1 = new Scanner(inFile1);
    
20.             Scanner in2 = new Scanner(inFile2);
    
21.             PrintWriter out = new PrintWriter(outFile);
    
22.             Country country1 = new Country(in1);
    
23.             Country country2 = new Country(in2);  
    
24.             System.out.println(country1.hashCode());
    
25.             System.out.println(country2.hashCode());
    
26.             while (!country1.isNull() && !country2.isNull()) {
    
27.                 if (country1.compareTo(country2) < 0) {
    
28.                     out.println(country1);
    
29.                     country1 = new Country(in1);
    
30.                 } else {
    
31.                     out.println(country2);
    
32.                     country2 = new Country(in2);
    
33.                 }
    
34.             }
    
35.             while (!country1.isNull()) {
    
36.                 out.println(country1);
    
37.                 country1 = new Country(in1);
    
38.             }
    
39.             while (!country2.isNull()) {
    
40.                 out.println(country2);
    
41.                 country2 = new Country(in2);
    
42.             }
    
43.             in1.close();
    
44.             in2.close();
    
45.             out.close();
    
46.         } catch (FileNotFoundException e) {
    
47.             System.out.println(e);
    
48.         }
    
49.     }
    
50. }

复制代码

1. /*  Data Analysis with Java
   
2. *  John R. Hubbard
   
3. *  March 30, 2017
   
4. */
   
5. 
   
6. package dawj.ch02;
   
7. 
   
8. import java.io.File;
   
9. import java.io.FileNotFoundException;
   
10. import java.util.HashMap;
    
11. import java.util.Scanner;
    
12. 
    
13. public class ReadingCSVFiles {
    
14.     public static void main(String[] args) {
    
15.         File dataFile = new File("data/Countries.csv");
    
16.         try {
    
17.             Scanner input = new Scanner(dataFile);
    
18.             input.useDelimiter(",|\\s");
    
19.             String column1 = input.next();
    
20.             String column2 = input.next();
    
21.             System.out.printf("%-10s%12s%n", column1, column2);
    
22.             while (input.hasNext()) {
    
23.                 String country = input.next();
    
24.                 int population = input.nextInt();
    
25.                 System.out.printf("%-10s%,12d%n", country, population);
    
26.             }
    
27.         } catch (FileNotFoundException e) {
    
28.             System.out.println(e);
    
29.         }
    
30.     }
    
31. }

复制代码

1. /*  Data Analysis with Java
   
2. *  John R. Hubbard
   
3. *  March 30, 2017
   
4. */
   
5. 
   
6. package dawj.ch02;
   
7. 
   
8. import java.io.File;
   
9. import java.io.FileNotFoundException;
   
10. import java.util.Collections;
    
11. import java.util.HashMap;
    
12. import java.util.Scanner;
    
13. import java.util.Set;
    
14. import java.util.TreeMap;
    
15. 
    
16. public class SortingData {
    
17.     public static void main(String[] args) {
    
18.         File file = new File("data/Countries.dat");
    
19.         TreeMap<Integer,String> dataset = new TreeMap();
    
20.         try {
    
21.             Scanner input = new Scanner(file);
    
22.             while (input.hasNext()) {
    
23.                 String x = input.next();
    
24.                 int y = input.nextInt();
    
25.                 dataset.put(y, x);
    
26.             }
    
27.             input.close();
    
28.         } catch (FileNotFoundException e) {
    
29.             System.out.println(e);
    
30.         }
    
31.         print(dataset);
    
32.     }
    
33.    
    
34.     public static void print(TreeMap<Integer,String> map) {
    
35.         for (Integer key : map.keySet()) {
    
36.             System.out.printf("%,12d  %-16s%n", key, map.get(key));
    
37.         }
    
38.     }
    
39. }

复制代码