Orange? Pretty sure that is a fruit, no?
Well, indeed is it named after the fruit, even the logo itself reflects the fruit itself. Orange in this context refers to the software application, which is an open-source data visualisation, machine learning and data mining toolkit. Orange features a visual programming front-end for explorative rapid qualitative data analysis and interactive data visualisation.
Orange also build data analysis workflows visually, with a large, diverse toolbox and create workflows for data analysis, machine learning and data visualization. With Orange, you can explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, and more. Orange graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy. Place widgets on the canvas, connect them, load your datasets and explore your data.
Why Should I Learn Orange?
Orange is a platform built for mining and analysis on a GUI based workflow. This means that there are no prerequisites as to know how to code in order to work using Orange and able to mine data, crunch numbers and derive insights. In orange, learners can perform tasks ranging from basic visuals to data manipulations, transformations, and data mining.
Furthermore, as mentioned countless of times over the previous blog posts, Data Scientists are really HOT right now. There is a major talent crunch that needs to be addressed – and Orange, whilst might not be the entire solution to this, definitely helps for talents without such skillsets! Orange takes out the difficulty from doing data science and make it fun. Since not everyone is willing to learn coding or even able to grasp coding easily, Orange tools which are also GUI (Graphical User Interface) comes in handy!
Ferenc Borondics mentioned that Orange is a powerful platform to perform data analysis and visualization, see data flow and become more productive. It provides a clean, open source platform and the possibility to add further functionality for all fields of science. If you are looking for a software that provides easy access and convenience without the hassle of coding to analyse complex data, Orange is for you!
Orange is VERSATILE!
Orange can be used for Machine Learning and Data Mining. With reference to study done on Orange by Leban, Curk, Zupan and Demsar (2004), Orange is a library of C++ core objects and routines that includes a large variety of standard and not-so-standard machine learning and data mining algorithms, plus routines for data input and manipulation.
Orange is a collection of Python-based modules that sit over the core library and implement some functionality for which execution time is not crucial and which is easier done in Python than in C++. This includes a variety of tasks such as pretty-print of decision trees, attribute subset, bagging and boosting, and alike. Orange is also a set of graphical widgets that use methods from core library and Orange modules and provide a nice user’s interface. Widgets support signal-based communication and can be assembled together into an application by a visual programming tool called Orange Canvas.
Orange provides a versatile environment for developers, researchers and data mining practitioners. Additionally, since Python and Orange are both integrated and linked, producing data mining scripts, however simple, will be powerful! After all, two is better than one!
All these together make an Orange, a comprehensive, component-based framework for machine learning and data mining!
Orange is not only beginner friendly, it is FUN & INTERACTIVE
As previously mentioned, Orange is beginner friendly, as users do not need to know coding to get started. Aside from its drag and drop fields, and it’s easily accessible functions, Orange is fun and interactive due to it’s versatility, convenience, and highly aesthetics visuals! It definitely catches the eye of Orange users. Orange is a comprehensive, component-based framework for both experienced data mining and machine learning users and developers, and for those just entering the field that can interface Orange through short Python scripts or visually design data mining applications using Orange Canvas and widgets.
Developers often say that Orange is more interactive than other software and that it has a fun vibe which makes the otherwise dull and boring analytics interesting! Nowadays, there are many softwares out there which are developed for sole purpose of making visualisation and storytelling more efficient and most importantly beautiful! One such example is Power BI.
With Orange, it is able to do more as it is able to run with other languages like Python, Anaconda, and others. The logo itself is simple and website is also made easy to access and understand! With the cartoonish vibes it gives off, it makes it an even more approachable and cool software for users to deep dive into, especially beginners!
Orange has a Rich and Supportive Ecosystem!
On the Orange website, if users scroll down all the way, there is a tab on community which users are able to access easily. There are five communities for Orange such as on Facebook, Twitter, YouTube, Stack Exchange and Discord. On each platform, Orange and its tools are discussed, such as certain issues faced, general questions and many more. Orange users are able to seek insights and provide recommendations or solutions with other Orange users, and interact as well as connect on their shared interest for using Orange be it for personal/school use, or work related.
For users who just started, it is a great platform to meet experience users, and to gain insights as well as seek help if need be. Since Orange is also an open source software, it always helps beginners to kick start their software journey. Furthermore, there are no prerequisites to learning Orange – hence more reason why you should seriously learn Orange!
Having such skillsets will not only help you open more doors of opportunities in your journey to become a Data Scientist, or work towards achieving your Data goals, it gives you a chance to as well discover more about yourself and upskill in any career you decide to embark on!
Learn more about Orange and how to get started on the journey!
In this 2 days course designed for beginners or those with limited knowledge, participants will learn to use Orange by performing simple data analysis with clever data visualization. Data analysis will include using of pivot tables, statistical testing and graphs like scatterplots, boxplots and more. Participants will also learn to perform machine learning and predictive analytics and evaluate model accuracy easily!
If you would like to upskill, look no further! You may additionally progress on to our other Orange and data analytics courses, and even venture into other programming languages to achieve a more competitive you!
For more information, you can get in touch with us at (65) 6720 3333 or training.aventis@gmail.com
References
Orange: From Experimental Machine Learning to Interactive Data Mining
Building Machine Learning Model is fun using Orange
