With the advent of the big data era, data analysis and visualization have become essential tasks for enterprises and individuals. Apache Zeppelin, as a multi-language data analysis and visualization tool, is used by more and more people and organizations. This article will focus on how to use Apache Zeppelin in PHP for data analysis and visualization.

1. Installing Apache Zeppelin
   Before using Apache Zeppelin, we need to install it first. The official Apache Zeppelin website provides a detailed installation guide, which will not be described here. It should be noted that during the installation process, you need to choose to install relevant interpreters, such as Python, R, Java, etc., as well as the visualization plug-ins that need to be used.
2. Configuring Apache Zeppelin
   After the installation is completed, we need to perform some configuration work. Open the conf directory of Apache Zeppelin, find the zeppelin-env.sh file in it, open the file, and find the following code:

export ZEPPELIN_MEM="-Xmx1024m -XX:MaxPermSize=512m -XX: HeapDumpOnOutOfMemoryError -Dspark.executor.memory=512m -Dspark.driver.memory=512m -Dspark.cores.max=2"

export ZEPPELIN_INTP_MEM="-Xmx1024m"

Here we can configure Zeppelin of memory size to adapt it to our needs. If necessary, you can also modify Zeppelin's default port number.

3. Using Apache Zeppelin in PHP
   When using Apache Zeppelin in PHP for data analysis and visualization, we need to consider two situations. The first case is data interaction through Zeppelin's REST API, and the second case is data interaction through the Zeppelin-php-API package provided by Zeppelin.

Data interaction through Zeppelin's REST API
Apache Zeppelin provides a REST API that can interact with Zeppelin through HTTP requests. We can use PHP's cURL library to make the call. The following is a simple sample code:

$url = 'http://127.0.0.1:8080/api/notebook/job/' . $notebookId;
$postData = array(

'code' => $code,
'userParams' => $params

);

$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, $url);
curl_setopt($ch, CURLOPT_POST, 1);
curl_setopt ($ch, CURLOPT_POSTFIELDS, json_encode($postData));
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$headers = [

'Content-Type: application/json'

];
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
$result = curl_exec($ch);
curl_close($ch);

The $notebookId here is the ID of the notebook in Zeppelin, and the $code needs to be executed Code, $params are the parameters that need to be passed.

Data interaction through the Zeppelin-php-API package provided by Zeppelin
Apache Zeppelin also provides the Zeppelin-php-API package, which allows us to interact with Zeppelin in PHP more conveniently. We can download it from the official website and extract it to the vendor directory of the PHP project. The following is a simple sample code:

use ApacheZeppelinClient;

$client = new Client();
$client->setSession('http://localhost:8080' );
$client->login('admin', 'password');

$notebookId = $client->createNotebook('My Notebook');
$paragraphId = $ client->addParagraph($notebookId, 'My Paragraph');
$client->executeParagraphById($notebookId, $paragraphId);

The admin and password here are the Zeppelin username and password respectively. .

4. Data Analysis and Visualization
   In terms of data analysis and visualization, Apache Zeppelin provides interpreters in multiple languages ​​and various data visualization plug-ins, which can be flexibly customized and expanded. We can choose which interpreter and plug-in to use according to our needs.

By creating notebooks in Zeppelin, we can save a series of data analysis and visualization operations for easy viewing and modification at any time. Notebooks can be operated through REST API or Zeppelin-php-API.

In the paragraph, we can enter the corresponding code for data manipulation and visualization. Here is a simple PHP code example:

$data = array(

array('x' => 10, 'y' => 20),
array('x' => 20, 'y' => 30),
array('x' => 30, 'y' => 10)

);

foreach ($data as $row) {

$x[] = $row['x'];
$y[] = $row['y'];

}

$plot = new Plot(600, 400);
$plot->setData(array($x, $y));
$plot->setXLabel(' X-axis');
$plot->setYLabel('Y-axis');
$plot->setTitle('My Plot');
$plot->drawToFile(' my-plot.png');

Here we use PHP's Plot library for data visualization and generate a scatter plot as the result.

5. Summary
   Through the above steps, we can use Apache Zeppelin in PHP for data analysis and visualization. In practical applications, we can select appropriate plug-ins and interpreters for customization and expansion based on specific needs to improve the efficiency and accuracy of data analysis and visualization.

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