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Explanation

Apache Spark is a big data processing framework used for distributed data analysis, streaming, SQL processing, and machine learning.

Code:

SparkSession spark = SparkSession.builder().appName("DataAnalysis").master("local").getOrCreate();

Explanation

Apache Hadoop is used for distributed storage and large-scale batch data processing.

Code:

Configuration conf = new Configuration(); FileSystem fs = FileSystem.get(conf);

Explanation

Tablesaw is a Java DataFrame library similar to Pandas for CSV processing, filtering, grouping, and analytics.

Code:

Table table = Table.read().csv("data.csv"); System.out.println(table.summary());

Explanation

Joinery is a lightweight DataFrame library in Java used for simple tabular data analysis.

Code:

DataFrame<Object> df = DataFrame.readCsv("data.csv"); System.out.println(df.head());

Explanation

Weka is a machine learning and data mining library used for classification, clustering, and predictive analysis.

Code:

Classifier cls = new J48(); cls.buildClassifier(dataset);

Explanation

Smile is a modern machine learning and statistical analysis library for Java.

Code:

double mean = MathEx.mean(data);

Explanation

JFreeChart is used to create charts and graphs such as bar charts, pie charts, and line charts in Java applications.

Code:

JFreeChart chart = ChartFactory.createPieChart("Sales", dataset);

Explanation

Apache Commons Math provides statistical calculations, linear algebra, probability, and optimization utilities.

Code:

DescriptiveStatistics stats = new DescriptiveStatistics();

Explanation

EJML is a matrix computation and numerical analysis library for scientific applications in Java.

Code:

SimpleMatrix matrix = new SimpleMatrix(3, 3);