Data Analysis Tools

 Data analysis tools 

 

Data analysis is essential for businesses to understand and use the data they gather most efficiently. Businesses can do data analysis to find out trends among their consumers, their target market/demographic and other marketing research attributes. There are many different data analysis tools available for companies and individuals to use. Here is a list of some of them: 


RapidMiner – RapidMiner is a data analysis tool used for data mining*, visualisation, analysis, and statistical modelling. It is programmed in Java, a fairly old, object-oriented language. RapidMiner analyses workflows called ‘processes’ and is useful if the data isn't in a raw format. It comes with an intuitive GUI which makes it easy for businesses to use no matter how large the organisation is. 


Orange – Orange is used mainly for data visualisation. Its colour coordinated GUI helps visualise data in easy-to-read charts and graphs. This is helpful to businesses as they can see what data they have visually and make judgements from them. 


Pandas (Python) - Pandas is a Python library used for data manipulation and analysis. Pandas makes it easy to interact with your data algorithmically and arithmetically. 


Matplotlib (Python) - Matplotlib is a Python library for plotting data. Matplotlib runs in sync with NumPy, another library used for arithmetic analysis on data. Many people use Matplotlib due to its amazing data visualisation graphs and charts, also it provides an ability to embed these visualisations into GUI based programs such as the Tkinter library. 


Overall, data analysis tools can come in various forms. From visualisation to arithmetic analysis, different tools can achieve different results based on what the business needs. 


*Data mining = searching and organising a large batch of data.

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