Skip to main content

Why Data Visualization?

Image
By


In the world of big data where every organization is getting flooded with data, you need tools that can make your data talk and impact the decision-making ability of any organization. Data analytics and data visualization tools play a pivotal role in the modern world. Data visualization helps in visually representing the data in form of graphs, charts, and maps which can help any individual to identify the pattern and trends in data.

Data analytics and data visualization come under the same umbrella but there's a slight difference between these two data analytics help in analyzing the data for decision making while data visualization is just representing the data in form of graphs. Eventually, both of them make a great impact on the decision-making process. There are two aspects related to data visualization exploration and explanation of data.


The majority of humans aren't much aware of statistical data and the methods used to interpret it. You can only make data visualization effective by selecting the right graphs (visualization) which are intuitive and easy to interpret for the audience. 

When we talk about data visualization tools excel is one of the basic visualization tools but it offers a limited function which is not a great option for a data visualization tool. You need some advanced features which are necessary to get a bigger picture out of your data.

Common data visualization tools-

  1. Tableau: It is the leading data visualization tool. It offers a variety of options from the desktop app, server, and a free public version. It offers various infographics and visualization that can be used in a variety of conditions. With several data importing options and free video on how to use Tableau there is a setback i.e. you can not keep your tableau visualization private if you are using Tableau Public.
  2. D3.js: It is a javascript library to manipulate documents using data. The major setback with D3 is you need to have basic knowledge of Javascript but nowadays there are several apps that allow a non-programmer to utilize the library.
  3. Google Charts: It is a free data visualization tool that helps in creating visualization online. These visualizations are dynamic in nature. It offers a wide variety of charts, maps, and graphs that can be customized completely.
  4. Power BI: It is Microsoft's platform for visualizing your data. The most special feature apart from connecting to various data sources is that you can also view your final report on your mobile device. It is more like an advanced excel with various options to visualize the data.
There are many more data visualization tools apart from these but these are the ones with which I have worked closely.

Data Visualization is coming into greater demand as every business is transforming into a data-driven one and in such an environment, you need the right tools for effective decision making. In the future, each profession will require to make its decision based on data.



Comments

Post a Comment

Popular posts from this blog

Identify and Delete Unused Columns & Measures

By
Heavy dashboards and a bad data model is a nightmare for every BI Developer. Heavy dashboards can be slow due to multiple reasons. It is always advised to stick with best practices. Are you still figuring out about those best practices then you should definitely have a quick read on Best Practice Analyser ( link ). One of the most common issues with slow dashboards is unused columns and unused measures.  It is very normal to load some extra columns and create some test measures in your dashboard but as a part of cleanup process those unused columns and unused measures should be removed. Why we are removing them? Because if you keep them then ultimately it will increase the size of your data model which is not a good practice.  How to identify the culprits (unused columns and unused measures)? In today's blog we will provide you with 2 most common external tools which will help you in identifying the culprits. More external tools😒. Who's going to pay for this? To your surprise...
Post a Comment
Read more

Ultimate Beginners Guide to DAX Studio

By
There are zillions of external tools available with Power BI but DAX Studio is one of the most commonly used tools to work with DAX queries. It is a perfect tool to optimize the DAX and the data model. In this blog let's shed some light on the basic functionalities that can take your report to the next level. ARE YOU READY?  To start you will need the latest version of the DAX Studio. You can download it from their website . Don't worry you don't have to pay for the license. Fortunately, DAX Studio is a free tool As a BI Developer, I am using DAX Studio regularly. Based on my experience I use it for several purposes but in this blog, I will highlight the most common ones. Extracting a dump of all the measures used in your PBIX. Why do we need to do this? It can be used for documentation purposes also sometimes we try to reuse the DAX and such a dump comes in handy in this scenario. How to achieve it? Open the DAX Studio it is located under the external tools once you open t...
Post a Comment
Read more

Best Practice Analyser (BPA) Guide

By
Do you want to save tons of efforts to check if your data model and PBIX file follows the standard best practices and norms? Then this blog is for you. If you are a follower of our channel we already deep dive into the importance of the DAX Studio as an external tool. If you are a beginner I would highly recommend to visit this blog . In today's blog we will check how Tabular Editor can help to optimize the data model.  Best Practice Analyser allows to define or import best practices. It will make sure that we do not violate the best practices while developing a dashboard. Isn't it exciting!! Before we start make sure you already have Tabular Editor version 2.24.1 installed on your system. To install it do visit this link and select the link for windows installer. Once Tabular Editor is installed it will reflect in your PBIX file under external tool. Also, we need to define the standard rules. To do so in your advanced scripting or C# script copy this and save it via Ctrl+S. An...
Post a Comment
Read more