It is obvious to anyone that there are software tools for practically any purpose now, including work related to data analysis. In fact, there are a great many Data Analysis Tools that can help analysts in various ways, such as collecting data, arranging it, helping establish relationships between variables, and more.

Of course, data analysis does not belong exclusively to one field, any field that can expect to do much research can find a use for these software programs, including science, mathematics, business, and others. As with similar software, these programs make useful tools for those fields, such that personnel in those fields should not do without these programs.

Alteryx

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Rating: 4.4/5

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Trifacta Wrangler

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Rating: 4.4/5

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QlikView

qlikview

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Rating: 4.6/5

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Gephi

gephhi

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Rating: 4.5/5

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Orange Data Mining

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Rating: 4.5/5

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Features of Data Analysis Software

Analysis of data can be a tasking, time-consuming process; however, having tools to streamline the process would certainly help. Data Mining Software in particular can help researchers understand the raw data they collect and establish relationships between all the different variables. Specifically, some of the features of data analysis software include:

  • Creation of Graphs – These programs are able to help you develop graphs to help you visualize your data. These graphs can better allow you to understand your data by helping you make connections between all your variables. Further, being able to visualize your data makes it easier to understand how everything is related.
  • Search Tools – There are also tools that allow you to search through your body of data so that you can find specific parts that may be of particular use to you. This is also useful for helping you go through the data and find what it most relevant to your research.
  • Workflow Organizer – These software programs come with a number of tools to streamline your workflow, such as workflow templates, that you can use to organize your approach to studying your data. This assists you by helping you keep the focus on your end result.

DataMelt

data melt

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Rating: 4.4/5

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OpenRefine for Windows

openrefine for windows

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Rating: 4.6/5

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Wizard for Mac

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Rating: 4.5/5

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Develve for Linux

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Rating: 4.5/5

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RapidMiner – Most Popular Software

rapidminer most popular software

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Rating: 4.7/5

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Advantages of Data Analysis Software

When analyzing your data, it is important to analyze the statistics so as to understand what the data can tell you. Many programs do come with Statistical Analysis Software to help you do that, allowing you to better understand your data. Of course, these programs come with other advantages for researchers, namely:

  • Focus on Data – The tools these programs bring to the table allow researchers to focus on the data, not the representations. Being that the tools can automate some of the processes for you, this allows you to focus on analysis instead of getting lost in writing up how they relate to one another.
  • Data Visualization – Many of these programs also come with graphing software, which lets you order the data in graphs. This makes it easier to understand the data after it has been so organized, so you can focus on making sense of it all.
  • Possible to Map Relationships – These tools also make it easier to understand what the data is saying by establishing relationships. This makes it easier to understand how ideas lead into one another and how everything is related.

These software tools are invaluable to researchers; the task of research is a complex one, and it is a researcher’s task to bring order to the chaos of raw data. However, any task becomes much easier given the right tools, and these might just be the right tools.

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