Data Visualization Using Tableau
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April 22, 2020
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Saurav Sindhwani
Data visualization is the act of taking data and placing it into a visual context, such as a map or graph to bring the Information out of it. Visualization also makes it easier to detect patterns, trends, and outliers in groups of data which can define the next strategy for a business.
Good visualizations should extractinformation from complicated datasets so that theinformation is clear and concise. Now the question comes which Tool can we use for a better understanding of Data? The Answer is Tableau because
Tableau has more flexible deployment options compared to Visualization Tools.
Tableau, along with on-premises deployment also supports cloud services as well.
Tableau connects to many different data sources and can visualize larger data sets than any other BI tool can.
The inbuilt AI gives it more power than any other tools, through which you only needs to drag and drop the data and Tableau Engine will display the most suitable visualization for your data, which definitely you can change and customize as per your need. Also customization is way better than any other BI as it can be formatted to the slightest detail.
Tableau is very good with creating processes and calculations. For example, while creating calculations in tableau, the formula can be typed once, stored as a field and applied to all referencing that source. This makes it easier to create and apply recurring processes. Tableau’s flexibility allows users to create custom formulas that can be applied to a filter or a field.
Data storytelling is also one of the unique and easy to use features in Tableau which makes it different from other.
Another major thing is Apart from Real Time data, it also allows using extract for fast retrieval and display of data which can be refreshed as per the need of the user.
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What makes python so popular that it has become one of the hottest tech skills for 2020?
Released in 1991 and created by Guido van Rossum, Python was and is still extremely relevant for all developers to learn and grow. Python is interactive, dynamic, versatile, one of the most relevant languages and one of the most talked about language for the year 2020.
It is on the top charts of Most Popular programming language used by 25 Unicorn companies.Python is interpreted (Compilation not needed as in other object-oriented languages), object-oriented, high-level programming language with dynamic semantics. It has high end built in data structures, dynamic typing and dynamic binding and has a rapid application development support.
It supports modules and packages which gives support to modularity and code reuse.There is no compilation step which makes edit-test-debug cycle incredibly fast.Currently according to DataSlash there are 8.2 million developers’ uses python worldwide.
Python became a solution in many different areas. From web applications to data science and machine learning.There are more than 2000 financial and non-financial companies that use Python for backend. Instagram, Uber, Spotify, Amazon, Safari Books Online, Testive, Harvard Medical School, Vitality, Bank of America, Entrepreneurial Financial Lab and Robinhood etc. are few of them.
Python is widely used in data science and numeric computing for list, arrays and dataframes:
SciPy is used to solve scientific and mathematical problems.
Pandas is used for data analysis and data manipulations.
Matplotlib and seaborn is a Data visualization library. Python also supports 3D Data visualization as well.
Few of the 2D and 3D visualizations from Python’s matplotlib and seaborn
About Girikon:
Girikon is a reputed Salesforce consulting and development company that caters to its global clientele with quality services and solutions.