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前言
数据透视分析是一种强大的工具,可以帮助我们从大量数据中提取有用信息并进行深入分析。而在Java开发中,可以借助PivotTable,通过数据透视分析揭示数据中的隐藏模式和趋势。本文将介绍如何使用Java来构建PivotTable以及实现数据透视分析,并将其导出为PDF。
创建数据透视表并导出为PDF
创建步骤:
具体代码参考如下:
// 1.创建一个workbook
Workbook workbook = new Workbook();
// 2.设置样例数据
Object sourceData = new Object[][]{
{"Order ID", "Product", "Category", "Amount", "Date", "Country"},
{1, "Bose 785593-0050", "Consumer Electronics", 4270, new GregorianCalendar(2018, 0, 6), "United States"},
{2, "Canon EOS 1500D", "Consumer Electronics", 8239, new GregorianCalendar(2018, 0, 7), "United Kingdom"},
{3, "Haier 394L 4Star", "Consumer Electronics", 617, new GregorianCalendar(2018, 0, 8), "United States"},
{4, "IFB 6.5 Kg FullyAuto", "Consumer Electronics", 8384, new GregorianCalendar(2018, 0, 10), "Canada"},
{5, "Mi LED 40inch", "Consumer Electronics", 2626, new GregorianCalendar(2018, 0, 10), "Germany"},
{6, "Sennheiser HD 4.40-BT", "Consumer Electronics", 3610, new GregorianCalendar(2018, 0, 11), "United States"},
{7, "Iphone XR", "Mobile", 9062, new GregorianCalendar(2018, 0, 11), "Australia"},
{8, "OnePlus 7Pro", "Mobile", 6906, new GregorianCalendar(2018, 0, 16), "New Zealand"},
{9, "Redmi 7", "Mobile", 2417, new GregorianCalendar(2018, 0, 16), "France"},
{10, "Samsung S9", "Mobile", 7431, new GregorianCalendar(2018, 0, 16), "Canada"},
{11, "OnePlus 7Pro", "Mobile", 8250, new GregorianCalendar(2018, 0, 16), "Germany"},
{12, "Redmi 7", "Mobile", 7012, new GregorianCalendar(2018, 0, 18), "United States"},
{13, "Bose 785593-0050", "Consumer Electronics", 1903, new GregorianCalendar(2018, 0, 20), "Germany"},
{14, "Canon EOS 1500D", "Consumer Electronics", 2824, new GregorianCalendar(2018, 0, 22), "Canada"},
{15, "Haier 394L 4Star", "Consumer Electronics", 6946, new GregorianCalendar(2018, 0, 24), "France"},
};
//创建worksheet
IWorksheet worksheet = workbook.getWorksheets().get(0);
worksheet.getRange("G1:L16").setValue(sourceData);
worksheet.getRange("G:L").setColumnWidth(15);
//3.设置PivotTable
IPivotCache pivotcache = workbook.getPivotCaches().create(worksheet.getRange("G1:L16"));
IPivotTable pivottable = worksheet.getPivotTables().add(pivotcache, worksheet.getRange("A1"), "pivottable1");
worksheet.getRange("J1:J16").setNumberFormat("$#,##0.00");
//4.配置透视表的字段
IPivotField field_Category = pivottable.getPivotFields().get("Category");
field_Category.setOrientation(PivotFieldOrientation.ColumnField);
IPivotField field_Product = pivottable.getPivotFields().get("Product");
field_Product.setOrientation(PivotFieldOrientation.RowField);
IPivotField field_Amount = pivottable.getPivotFields().get("Amount");
field_Amount.setOrientation(PivotFieldOrientation.DataField);
field_Amount.setNumberFormat("$#,##0.00");
IPivotField field_Country = pivottable.getPivotFields().get("Country");
field_Country.setOrientation(PivotFieldOrientation.PageField);
worksheet.getRange("A:D").getEntireColumn().autoFit();
// 5.导出PDF
workbook.save("CreatePivotTable.pdf", SaveFileFormat.Pdf);
总结
数据透视分析的优势:
扩展链接: