Nand Kishor Contributor

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...

Full Bio 
Follow on

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...

3 Best Programming Languages For Internet of Things Development In 2018
223 days ago

Data science is the big draw in business schools
396 days ago

7 Effective Methods for Fitting a Liner
406 days ago

3 Thoughts on Why Deep Learning Works So Well
406 days ago

3 million at risk from the rise of robots
406 days ago

Top 10 Hot Artificial Intelligence (AI) Technologies
298203 views

Here's why so many data scientists are leaving their jobs
78984 views

Want to be a millionaire before you turn 25? Study artificial intelligence or machine learning
72783 views

2018 Data Science Interview Questions for Top Tech Companies
71472 views

Google announces scholarship program to train 1.3 lakh Indian developers in emerging technologies
59895 views

Why Data Visualization Is The Priority For Visualizing The Data Of The Company?

By Nand Kishor |Email | Jan 1, 2018 | 12303 Views

Data visualization is the presentation of quantitative information in a graphical form. In other words, data visualizations turn large and small datasets into visuals that are easier for the human brain to understand and process.

Data visualizations can be used to discover unknown facts and trends. You may see visualizations in the form of line charts to display change over time. Bar and column charts are useful when observing relationships and making comparisons. Pie charts are a great way to show parts-of-a-whole. And maps are the best way to visually share geographical data.

What Makes a Good Data Visualization?
Good data visualizations are created when communication, data science, and design collide. Data visualizations did right offer key insights into complicated datasets in ways that are meaningful and intuitive. American statistician and Yale professor Edward Tufte believe excellent data visualizations consist of complex ideas communicated with clarity, precision, and efficiency.

In order to craft a good data visualization, you need to start with clean data that is well sourced and complete. Once your data is ready to visualize, you need to pick the right chart. This can be tricky, but there are many resources available to help you choose the right type of chart for your data. 

After you have decided which chart type is best, you need to design and customize your visualization to your liking. Remember, simplicity is key - you don't want to add any elements that distract from the data. Now that your visualization is complete, it's time to publish and share with your colleagues, customers, or readers.

Why Does Data Visualization Matter?
Decision Making should be better
Organizations are now using more of data visualization and data tools, for making better and meaningful decisions. Emerging computer technologies and new user-friendly software programs have made it easy to learn more about your company and make better data-driven business decisions.

The strong emphasis on performance metrics, data dashboards, and Key Performance Indicators (KPIs) shows the importance of measuring and monitoring company data. Common quantitative information measured by businesses includes units or product sold, revenue by quarter, department expenses, employee stats, and company market share.

Storytelling should be meaningful
Data visualizations and information graphics (infographics) have become an essential tool for today's mainstream media.

Data journalism is on the rise and journalists consistently rely on quality visualizations tools to help them tell stories about the world around us. Many well-respected institutions have fully embraced data-driven news including The New York Times, The Guardian, The Washington Post, Scientific American, CNN, Bloomberg, The Huffington Post, and The Economist.

Marketers also benefit greatly from the combination of quality data and emotional storytelling. Good marketers make data-driven decisions on a daily basis, but sharing with their customers requires a different approach - one that touches both intelligently and emotionally. Data visualizations help marketers share their message using statistics and heart.

Data Literacy
Being able to understand and read data visualizations has become a necessary requirement for the 21st century. Because data visualization tools and resources have become readily available, more and more non-technical professionals are expected to be able to gather insights from data.

Increasing data literacy around the world has been one of the main pillars of Infogram's mission from day one. We truly believe in the importance of data education and support around the world.

The History of Data Visualization
Data visualization has been around for centuries, and many would agree it began in the late 1700s with William Playfair - better known as the father of statistical graphics.' Playfair is credited with having invented the line, bar, and pie chart we use so often today.

Florence Nightingale is famous for her work as a nurse during the Crimean War, but she was also a data journalist, known for her coxcomb or rose diagrams. These revolutionary charts helped her fight for better hospital conditions, ultimately saving soldier's lives.

One of the most well-known historical data visualizations comes from Charles Joseph Minard. Minard was a French civil engineer famous for his representation of numerical data on maps. His most famous work is the map of Napoleon's Russian campaign of 1812 displaying the dramatic loss of his army over the advance on Moscow and the following retreat.

Why use data visualization?
  • Make data easier to understand and remember
  • Discover unknown facts, outliers, and trends
  • Visualize relationships and patterns quickly
  • Ask better questions and make better decisions

Source: HOB