Data Manipulation With Various Software and Applications

Data analysis is an important activity and has been carried out by various groups of people.

Data analysis in the current era of technological development 4.0 cannot be separated from the use of various kinds of software for data analysis.

Some of the tools commonly used to perform data analysis include:

1. Microsoft Excel

Microsoft Excel is the most commonly used Microsoft application for analyzing data.

Laptops sold in the market today for under 5 million rupiah also have this application in them.

The advantage of this Microsoft Excel application lies in familiarity with this application.

In addition to Excel output which is Microsoft's output and is paid for, one alternative that can be used is Google Sheets

2. BI Power

Power BI is also an application from Microsoft that is more aimed at Business Intelligence. This application simplifies the process of creating dashboards and visualizing data.

With power BI, only a basic level of knowledge is required to manipulate data such as correcting errors in data and visualizing

3. Tablo

Tableau is an application that can be used to visualize data.

Tableau is an application that can produce beautiful visualizations with various tools in it.

To produce beautiful visualization tableau does not require deep programming knowledge due to its drag and drop UI.

4. R and Python

Processing using programming languages ​​such as R and Python is still an alternative tool for manipulating data.

Analysis using programming languages ​​tends to be broader and can be used in various data cases.

In addition, analysis with programming languages ​​R and Python is free and open source so that it can be used quickly. The weakness of this tool is that it requires a fairly high level of skill in programming languages ​​(Data Jambi/)