Area chart by selecting data from MySQL database using PHP Script

File Name	Details
config.php	MySQLi Database connection details are stored here.
sql_dump.txt	SQL Dump to create chart_data_column table with sample data.
readme.txt	Instructions on how to run the script
index.php	The main file to display records and the Area chart.

Using PDO : PHP Data Object

File Name	Details
config-pdo.php	PDO Database connection details are stored here.
index-pdo.php	Using PDO the main file to display Area Chart.

Using CSV (Comma Separated Value) file :

File Name	Details
index-csv.php	Reading CSV file by using fgetcsv() and display chart.
chart_data_column.csv	Comma separated value ( csv ) file with data.

Area Chart with data from MySQL database table and CSV file using PHP pdo and google chart library

Download Zip file at the end of this tutorial.

Sample Area Chart in html

Without using PHP or MySQL, you can try this simple HTML and JavaScript code to display the above area chart. Copy this code and save ( open ) as HTML file. Google Chart library is also included inside the code.

<html>
<head>
<title>plus2net.com : Area chart using data from MySQL table</title>
</head>
<body >
<script>
var my_2d=[{"month":"Jan","0":"Jan","sale":"300","1":"300","profit":"150","2":"150"},{"month":"Feb","0":"Feb","sale":"200","1":"200","profit":"130","2":"130"},{"month":"Mar","0":"Mar","sale":"300","1":"300","profit":"200","2":"200"},{"month":"April","0":"April","sale":"400","1":"400","profit":"500","2":"500"},{"month":"May","0":"May","sale":"300","1":"300","profit":"200","2":"200"},{"month":"Jun","0":"Jun","sale":"200","1":"200","profit":"100","2":"100"},{"month":"July","0":"July","sale":"200","1":"200","profit":"150","2":"150"}]
</script><div id='chart_div'></div>
<script type="text/javascript"
  src="https://www.gstatic.com/charts/loader.js"></script>
<script type="text/javascript">
google.charts.load('current',{packages:['corechart','bar']});
google.charts.setOnLoadCallback(draw_my_chart)
function draw_my_chart(){
var data=new google.visualization.DataTable();
data.addColumn('string','Month');
data.addColumn('number','Sale');
data.addColumn('number','Profit');
for(i=0;i<my_2d.length;i++)
data.addRow([my_2d[i][0],parseInt(my_2d[i][1]),parseInt(my_2d[i][2])]);
var options = {
   title: 'plus2net.com Sale Profit',
   hAxis: {title: 'Month',  titleTextStyle: {color: '#333'}},
   vAxis: {minValue: 0},
height:400,
width:880,
isStacked:false,
legend:{position:'top'}
};
var chart= new  google.visualization.AreaChart(document.getElementById('chart_div'));
chart.draw(data,options)
}
</script>
</body></html>

1 : Collecting data from MySQL database

After connecting to database through config.php file, we will run the SQL to collect the data from MySQL table. You can read more on MySQLi and how to collect data from table.

require "config.php";// Database connection

if($stmt = $connection->query("SELECT month,sale,profit FROM chart_data_column")){

  echo "No of records : ".$stmt->num_rows."<br>";
$php_data_array = Array(); // create PHP array

//$row2 = mysqli_fetch_array($stmt,MYSQLI_NUM);

  echo "<table>
<tr> <th>Month</th><th>Sale</th><th>Profit</th></tr>";
while ($row = $stmt->fetch_row()) {
   echo "<tr><td>$row[0]</td><td>$row[1]</td><td>$row[2]</td></tr>";
   $php_data_array[] = $row; // Adding to array
   }
echo "</table>";
}else{
echo $connection->error;
}
//print_r( $php_data_array);
// You can display the json_encode output here. 
echo json_encode($php_data_array); 

// Transfor PHP array to JavaScript two dimensional array 
echo "<script>
        var my_2d = ".json_encode($php_data_array)."
</script>";

Using PDO : PHP Data Object we can connect to MySQL and retrieve the data to create the array $php_data_array.

Any one method either MySQLi ( Above code ) or PDO ( Below code ) is to be used to collect data and create the JavaScript array.
Both scripts are available inside zip file at the end of this page.

<?Php
require "config-pdo.php";// Database connection
$query="SELECT month,sale,profit FROM chart_data_column";
$step = $dbo->prepare($query);
if($step->execute()){
$php_data_array = $step->fetchAll(); //
echo "<script>
        var my_2d = ".json_encode($php_data_array)."
</script>";
}
?>

2 : Data array in PHP

Before displaying records in a table we have created an array in PHP ( $php_data_array). While displaying the records in a table we store each record inside the PHP array.

$php_data_array[] = $row; // Adding to array

After displaying all the records in a table we have the $php_data_array with all the data collected from MySQL table. We can display the Json string like this.

echo json_encode($php_data_array);

3 : Transferring data from PHP to JavaScript to create the chart

By using json_encode we will create an json string which can be used to create the JavaScript two dimensional array.

echo "<script>
        var my_2d = ".json_encode($php_data_array)."
</script>";

4 : Adding data to Chart

Our JavaScript array my_2d stores all the data required for creating the chart. We need to display them in the format required by our Chart library.

for(i = 0; i < my_2d.length; i++)
    data.addRow([my_2d[i][0], parseInt(my_2d[i][1]),parseInt(my_2d[i][2])]);

We used parseInt() function to convert input string value to Integer. JavaScript part is here .

<script type="text/javascript" src="https://www.gstatic.com/charts/loader.js"></script>
<script type="text/javascript">

      // Load the Visualization API and the corechart package.
      google.charts.load('current', {packages: ['corechart', 'bar']});
      google.charts.setOnLoadCallback(drawChart);
	  
      function drawChart() {

        // Create the data table.
        var data = new google.visualization.DataTable();
        data.addColumn('string', 'Month');
        data.addColumn('number', 'Sale');
		data.addColumn('number', 'Profit');
        for(i = 0; i < my_2d.length; i++)
    data.addRow([my_2d[i][0], parseInt(my_2d[i][1]),parseInt(my_2d[i][2])]);
       var options = {
          title: 'plus2net.com Sales Profit',
          hAxis: {title: 'Month',  titleTextStyle: {color: '#333'}},
          vAxis: {minValue: 0}
        };

var chart = new google.visualization.AreaChart(document.getElementById('chart_div'));
        chart.draw(data, options);
       }
	///////////////////////////////
////////////////////////////////////	
</script>

5. HTML part

We can show the chart inside a <DIV> tag and place the same any where we want to display the chart.

<div id="chart_div"></div>

The chart drawn above can be displayed with live internet connection as the library is to be loaded from gstatic.com

Data is collected from MySQL database table so data can be edited by using script and the same will be reflected by the Chart. We have not included this part in the present script and there are many tutorials available here one handling data using PHP and MySQL.

You can read tutorials on other types of charts displayed by using data from database.

Stacked Area chart

var options = {
          title: 'plus2net.com Sale Profit',
          hAxis: {title: 'Month',  titleTextStyle: {color: '#333'}},
          vAxis: {minValue: 0},
		  height:400,
		  width:480,
		  isStacked:true
        };

Using CSV file as data source

Once the php aray $php_data_array is created the rest of the code remain same. Here we are reading the chart_data_column.csv file to create the $php_data_array. Once the array is created same code can be used. Zip file below contains the chart_data_column.csv file as data source and the index-csv.php file to display the chart.
We used fgetcsv() to read csv file

$f_pointer=fopen("chart_data_column.csv","r"); // file pointer
$php_data_array = Array(); // create PHP array
while(! feof($f_pointer)){
$ar=fgetcsv($f_pointer);
//echo print_r($ar); // print the array 
$php_data_array[] = $ar; // Adding to array
}
//print_r($php_data_array);
echo "<script>
var my_2d=".json_encode($php_data_array)."
</script>";

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Area Chart using data from MySQL table