CARA IMPORT FILE EXCEL KE E-SPT PPH BADAN

There are many ways in which you can import data from an Excel sheet to a MySQL database. However, in PHP 7, the method that is recommended is the MySQLi method. MySQLi is a PHP extension that stands for MySQL Improved. In this article we will be discussing the steps involved in importing Excel data to a MySQLi database in PHP 7.

Cara Import Excel Ke MySQLi Pada PHP 7 Terbaru

The first step in importing Excel data to MySQLi in PHP 7 is to create a MySQL database. You can do this by following these steps:

1. Open phpMyAdmin on your local server or on your web hosting account.
2. Click on the “Databases” tab at the top of the page.
3. Enter a name for the new database and click on the “Create” button.

Once you have created the database, you can proceed to create a table to hold the Excel data. You can do this by following these steps:

1. Click on the name of the database you just created.
2. Click on the “SQL” tab at the top of the page.
3. Enter the SQL code to create a table with the required columns.
4. Click on the “Go” button to create the table.

After you have created the table, you can proceed to import the Excel data into the table. You can do this by following these steps:

1. Use PHPExcel to read the Excel data.
2. Connect to the MySQLi database.
3. Loop through the rows and insert the data into the MySQLi table.
4. Disconnect from the MySQLi database.

cara import dari excel ke mysql | RARA Kotabumi

Another way to import Excel data into MySQL is to use the “LOAD DATA INFILE” command in MySQL. This command allows you to load data from a text file into a MySQL table. You can convert the Excel data to a text file using any spreadsheet software and then use the “LOAD DATA INFILE” command to import the data into MySQL. Here are the steps involved:

1. Open the Excel file and save it as a CSV file.
2. Open PHPMyAdmin and select the database where you want to import the file.
3. Go to the “Import” tab and select the CSV file that you just saved.
4. Set the delimiter to “,” and the enclosure to “\””.
5. Select the table where you want to import the data and click on “Go”.

Cara Import Excel Ke Python

Python is a popular programming language for data manipulation and analysis. If you need to import Excel data into Python, you can use the Pandas library. Pandas is a Python library for data manipulation and analysis that provides data structures for efficiently storing and manipulating large datasets. Here are the steps involved in importing Excel data into Python using Pandas:

1. Install Pandas using pip.
2. Use the read_excel() function from the Pandas library to read the Excel file.
3. Do any necessary data manipulation or analysis using the Pandas library.

Cara Nambah Database e-SPT PPh Badan Di Windows 32 bit Dan 64 Bit – NEWBIE

If you need to add a new database to e-SPT PPh Badan in Windows, you can do so by following these steps:

1. Download and install the latest version of e-SPT PPh Badan.
2. Open the e-SPT PPh Badan application.
3. Click on the “Database” tab at the top of the page.
4. Click on the “New” button to create a new database.
5. Enter a name for the new database and click on the “OK” button.

Cara Import Tabel Di Excel Ke WordPress – Munaz Bagus

If you want to import a table from Excel into WordPress, you can use the TablePress plugin. TablePress is a WordPress plugin that allows you to import tables from Excel or CSV files and display them on your WordPress site. Here are the steps involved in importing a table from Excel into WordPress using TablePress:

1. Install the TablePress plugin on your WordPress site.
2. Import the Excel table into TablePress.
3. Customize the table settings and style using TablePress.
4. Insert the table into your WordPress post or page using a shortcode.

FAQ

What is MySQLi?

MySQLi is a PHP extension that stands for MySQL Improved. It is an improved version of the MySQL extension for PHP that provides better performance, enhanced security, and more features.

What is Pandas?

Pandas is a Python library for data manipulation and analysis that provides data structures for efficiently storing and manipulating large datasets. It is a powerful tool for data cleaning, transformation, and analysis.