Manual Visual Data Mining: Techniques and Tools for Data Visualization and Mining

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For example a table showing sales for a particular product of last 10 years is provided. It will take time to read all the numbers, then compare sales of each year with the preceding year or some base year. This will then be done by comparing with every other year and if the data is simple then you will realise some pattern or trend. But in case the sales varies over the year then it will be very difficult to understand it.

Now consider graph consisting of a line representing sales plotted against sales in over the year on one axis and sales on another axis. This line will just take seconds to reflect the sales. Doing this and any similar thing which provides a visual representation of data is data visualization. Now consider more complex situation which involves data collected from decades on monthly or daily basis.

All the reports and papers which you come across have used data visualization technique to convey their message effectively. Conveying your message in simplest form is achieved by means of data visualization. Data visualization is important as it saves time required for reading long reports. Also, making changes to the charts and graphs is much easier as the data visualization softwares provides flexibility to convert one chart to another and make changes to specific data which needs to be modified.

Some of the advantages which data visualization provides are:. Having access to data is an added advantage over competitor but understanding the data accurately is what the real power is. Data visualisation tools enables you to use data in most efficient manner thus increasing productivity, profits and sales.

Forms of data visualisation

At the same time it helps in cost cutting, saving man hours and making the complete decision making process fast. Data visualization involves dealing with tonnes and tonnes of data which cannot be converted in visual form by humans directly. And almost every data visualization tools comes connected with a database software. What these data software actually do is, it pulls data from the database and creates a graphical image.

These are not specialized and essentially data visualization softwares but to a great extent widely used and serves the purpose well. Many of the users and organisation which do not require highly specialized software make use of aforesaid softwares effectively and yields great results.

▶ What is Data Visualization How to Data Visualize? -- Data Visualization and Data Mining

These softwares takes the data entered by a person or imported from a file and then assigns a particular visual characteristic to it. This can be done automatically based on the inbuilt features these are highly effective or as defined by the user. These softwares are extremely flexible and lets you take full control of how the data will be presented. This includes plotting the data sets as lines, bars, areas, circles, dots, pies, charts, tables, trend lines, geographically or even a combination of these! These softwares can work with variety of data, have option to import the data sets from various sources and refine the reports themselves.

Correlation and results provided by specialized softwares is unmatched.

The advantages and benefits of good data visualization

These saves time as the need of human intervention is minimised and the results improve over the time. These makes use of prevailing best practices in industry thus saving your time to conduct research about most effective visual form for your data. Data Visualization Techniques: Diagrams, charts, graphs. This section discusses a few data visualization techniques. This will help you understand the whole topic in a better way. But before we go further here are some of the tips that you need to keep in your mind:. Data visualization can be helpful in many ways and just in case if you are wondering where it is being used.

Then are some of the popular sectors:. Well, there are many books that were written about this topic to give users a better idea. However, if you are planning to buy some books regarding the topic. Then you can check the following books:. Both free and paid tools and softwares for data visualization are available in the market. All these tools have specific advantage over the other as most of them cater to a specific or a few industries.

You can choose from below mentioned tools or explore more and go ahead with the one which meets your requirements. Data visualization makes data more accessible and less confusing.

Visual Data Mining: Techniques and Tools for Data Visualization and Mining - PDF Free Download

Data Visualization — What is it actually and who uses it? Leave a Reply Cancel reply. However, our research is meant to aid your own, and we are not acting as licensed professionals. We recommend that you consult with your own lawyer, accountant, or other licensed professional for relevant decisions. Click here to see our full disclaimer. Some of the advantages which data visualization provides are:.

Having access to data is an added advantage over competitor but understanding the data accurately is what the real power is. Data visualisation tools enables you to use data in most efficient manner thus increasing productivity, profits and sales. At the same time it helps in cost cutting, saving man hours and making the complete decision making process fast. Data visualization involves dealing with tonnes and tonnes of data which cannot be converted in visual form by humans directly.

And almost every data visualization tools comes connected with a database software. What these data software actually do is, it pulls data from the database and creates a graphical image. These are not specialized and essentially data visualization softwares but to a great extent widely used and serves the purpose well.

9 of the Best Free Data Mining Tools

Many of the users and organisation which do not require highly specialized software make use of aforesaid softwares effectively and yields great results. These softwares takes the data entered by a person or imported from a file and then assigns a particular visual characteristic to it. This can be done automatically based on the inbuilt features these are highly effective or as defined by the user. These softwares are extremely flexible and lets you take full control of how the data will be presented. This includes plotting the data sets as lines, bars, areas, circles, dots, pies, charts, tables, trend lines, geographically or even a combination of these!

These softwares can work with variety of data, have option to import the data sets from various sources and refine the reports themselves. Correlation and results provided by specialized softwares is unmatched. These saves time as the need of human intervention is minimised and the results improve over the time. These makes use of prevailing best practices in industry thus saving your time to conduct research about most effective visual form for your data. Data Visualization Techniques: Diagrams, charts, graphs. This section discusses a few data visualization techniques.

This will help you understand the whole topic in a better way. But before we go further here are some of the tips that you need to keep in your mind:. Data visualization can be helpful in many ways and just in case if you are wondering where it is being used. Then are some of the popular sectors:. Well, there are many books that were written about this topic to give users a better idea. However, if you are planning to buy some books regarding the topic. Then you can check the following books:. Both free and paid tools and softwares for data visualization are available in the market.

All these tools have specific advantage over the other as most of them cater to a specific or a few industries. You can choose from below mentioned tools or explore more and go ahead with the one which meets your requirements. Data visualization makes data more accessible and less confusing. Data Visualization — What is it actually and who uses it?


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Leave a Reply Cancel reply. However, our research is meant to aid your own, and we are not acting as licensed professionals. We recommend that you consult with your own lawyer, accountant, or other licensed professional for relevant decisions. Click here to see our full disclaimer. Product or company names, logos, and trademarks referred to on this site belong to their respective owners. Pie Charts: Pie Charts are one of the common yet popular techniques. It also comes under data visualization techniques in excel. However, to some people, it can be hard to understand the chart while comparing to the line and bar type chart.

Data mining tools for better data analysis

Line chart basically displays the relationship between two patterns. Also, it is one of the most used techniques worldwide. The bar charts can display the data in a horizontal way or in a vertical way. It all depends on your needs. The areas can be filled with colours, hatch, pattern. This chart is generally used when comparing quantities which is depicted by area. Heatmap: This type of chart is widely used by websites, mobile application makers, research institutes etc. It highlights and bridges the gaps.