In this digital era, the optimum use of internet is increasing exponentially. In order to utilize this quantity of information, data analytics is a very important tool that can help. So, if you are going to apply it in the right manner, you need to have a perfect analytics software.
Here is a list of 10 best data analysis software free with reviews.
Data-Driven Documents (D3.js)
Over the past few years, Data-Driven Documents has proved to be one of the best libraries for visualizing data that is available for free. People looking for data-driven approach to DOM manipulation and visualization components should opt for this tool.
Data-Driven Documents is a JavaScript library also referred as D3.js. It is commonly used for manipulating documents based on the data provided by the user. Data-Driven Documents is the best tool to bring your raw and unprocessed data to life using CSS, HTML, and SVG.
Learn more:
Talend
Talend is an open-source tool for data integration with the help of the cloud. Talend helps to import data and move it to the data warehouse as quickly as possible. Talend has a unified platform. Also, the community of Talend is powerful that you will never know that the person on the other side comes from which background.
Talend Platforms, Talend enterprise, and Talend Open Studio helps in almost everything related to data that you may not look for another tool once you start working with Talend. Among the three, the most used is Talend Open Studio. The collaboration and management of Talend are commendable as with their data integration.
Qlikview
Qlikview is recommended as the best tool for data visualization. It is faster, easy, and unique in nature. There is a community in QlikView which has discussion forums, blogs, and a library. Community helps to solve most of your queries. It shows the relationship between data using different colors. Qlikview helps users to make the right decisions from their different approaches to data visualization.
If you are interested in layout designing, Qlikview is your way to go. It is good to have knowledge of data modeling and SQL basics to be proficient in Qlikview.
Orange
The orange toolkit can be used as simple data visualization to complicated machine learning algorithms provided it is open source. It can also be used with the Python library. It is like a canvas where the user places the widgets and workflow is created. All the data functionalities are done in widgets canvas. Users can explore various visualization techniques available in the tool.
There are many add-ons for the Orange tool as it is used in the machine learning algorithm as well. Data mining can also be done in this tool.
H2O
H2O helps in finding patterns of data. Its applications are mostly in machine learning and artificial intelligence but it provides really good insights about data. H2O has a built-in function to guess the structure of the incoming data set.
There are also other tools like OpenRefine for sorting and filtering data, Fusion Tables for charts and visualization, Microsoft power BI for data visualization and data wrangling, Google Dashboards to create reports, Plotly for statistical analysis, Gephi for statistical visualization and the tools are many.
Excel
Excel still attracts people to do data analysis and yes it is indispensable still as an analytics tool. There are many free online tutorials available that teach about Excel and VBA through which you can master excel. All the features such as exploring data, summarizing data, and visualizing data through various graphical tools are done in excel.
It is very easy to learn and master excel. Excel is still a basic tool in data science and analytics. Knowledge of excel will help you in your data science career. Though Microsoft Excel is not free, there are similar tools like spreadsheets, open offices and may others in the market which provides the same features as excel. One small drawback of excel is that it can’t be used for very large datasets.
Tableau
- Tableau is a free tool for data visualization from simple data to complex data. It is kind of interactive and we can suggest labels, tools, size of the column, and almost anything we can customize. The drag and drop interface is really helpful in this software and calculations can also be done in Tableau. Anyone who doesn’t have any idea of analytics can see and understand data from the Tableau platform.
- Dashboards and worksheets are created in Tableau for data analysis and visualization. Tableau helps see data from a different perspective through its dashboards. One can easily enter into the world of data science through Tableau. Also, Tableau integrates with Python and R programming language.
Trifacta
Trifacta is an open-source tool for data wrangling which makes data preparation easy for data analysis. Trifacta helps to transform, explore and analyze data from raw data format to clean, arranged format. It uses machine learning techniques to help users in data analysis and exploration. The other name of Trifacta is Data Wrangler which makes it clear that it is most useful in data cleaning.
It was developed in 2012 by Joe Hellerstein, Jeffrey Heer, and Sean Kandel. Trifacta works with the cloud and is collaborated with AWS. It has bagged an award for machine learning deployment from AWS. Trifacta helps you to work with large datasets, unlike Excel. Also, text editing suggestions are incredible in Trifacta.
RapidMiner
RapidMiner is an integration tool for data preparation, machine learning, deep learning, and other data analysis techniques. The workflow is called process and the output of one process becomes the input of others. This can be extended via either programming languages or their own plugins. Some versions of RapidMiner are free.
The products of RapidMiner include RapidMiner Studio, RapidMiner Auto Model, RapidMiner Turbo Prep, RapidMiner Server, and RapidMiner Radoop. We can inspect data by loading data into RapidMiner and do calculations or sort the data inside the tool. RapidMiner is mainly designed for non-programmers. RapidMiner also helps in data cleaning and preparing charts.
WebDataRocks
Many people fail to find an efficient tool that can assist them with data analysis and visualization. With WebDataRocks, you can accurately, easily, and efficiently display data from CSV and JSON files.
WebDataRocks is a web pivot table that allows you to visualize data in a smart way: aggregate it and show insights in real time. It is used to sort, count and average records from the original data source to display the summarized data on the grid.
WebDataRocks is written in JavaScript and is known to deliver an enhanced web reporting experience. Thus, you can create reports based on your data, save them and load later. What’s better is that WebDataRocks provides numerous data analysis features to make web reporting easier for the users.
This web reporting tool does not require a deep understanding of the tech industry. Simply load CSV or JSON file and start creating reports. Slice and dice the data by using drag and drop of fields, sorting, filtering, and drill down. WebDataRocks can be easily integrated with Angular framework.
Learn more:
BIRT
BIRT is used to create data visualizations and reports that can be embedded into web applications. This free tool offers special support for Java and Java EE applications. The platform has two primary components: a visual report designer for creating BIRT Designs, and a runtime component for generating those designs that can be deployed to any Java environment.
Apart from this, the tool allows integration of a charting engine into BIRT designer. Supported data sources include JDO datastores, JFire Scripting Objects, POJOs, SQL databases, Web Services and XML.
Learn more:
Google Charts
We all are aware of how powerful Google is with its data analytics, reporting, and visualization tools. Similar is the case with Google Charts that is not only effective, but a simple to use tool available for free. The platform has a rich gallery, can be customized as per your preference, offers multiple controls, shows dynamic data, and supports cross-browser compatibility and portability.
In recent times, Google Charts has become a popular online tool to visualize the data.
Learn more:
Cytoscape.js
Another open source platform for data analysis is Cytoscape.js that is written in JavaScript. It provides a graph theory library for graph analysis and visualization. This tool is considered one of the most efficient tools available on the market to manipulate and display data into interactive graphs. What’s more is that you can also integrate Cytoscape.js into your app.
Learn more:
Conclusion
The popularity of analytics has propelled data analysis tools to become one of the most sought after software. Thanks to this software, it has made our lives easier. Fast. Good quality results can be generated with a few clicks of the mouse. These easy to use analytics tools are designed specifically for both beginners and advanced users alike.