Apart from gathering and analysing the data, a data scientist has to present the result of the analysis in a form that is understandable and discernible. Visualizing the data with clear representations and in a neat and concise presentation is essential to drive home the conclusion of the analysis. As much as the analysis is important, taking time to present the final takeaway … [Read more...] about 5 Easy Methods to Visualize Data in Python Better
visualizations
R Shiny for Cross Industry, Cross Function Data Visualization
The increasing access to Big Data in this world of connectivity has opened up the possibility of gaining deep insights that can help businesses take relevant, strategic decisions that can spur growth. No wonder then that the Big Data market is expected to grow from USD 28.65 Billion in 2016 to USD 66.79 Billion by 2021, at a high Compound Annual Growth Rate (CAGR) of 18.45%, … [Read more...] about R Shiny for Cross Industry, Cross Function Data Visualization
Ten Major Challenges of Big Data Analytics in the Healthcare Industry of Today
The hype surrounding big data analytics in healthcare can be termed as challenging, but inescapable with the providers like Datafloq feeling the highest pinch of it. The need to reliably store the data today, safely and securely, and be sure that it will be efficiently accessible particularly useful in healthcare when needed adds to the excitement. Big data is long, complicated … [Read more...] about Ten Major Challenges of Big Data Analytics in the Healthcare Industry of Today
The 12 Basic Principles Of Data Visualization
The best data in the world won't be worth anything if no one can understand it. The job of a data analyst is not only to collect and analyze data, but also to present it to the end users and other interested parties who will then act on that data. Here's where data visualization comes in. Many data analysts are not necessarily experts in data communication or graphic design. … [Read more...] about The 12 Basic Principles Of Data Visualization
Why Biotech Needs the Power of Data Analytics
The Human Genome Project, that aimed to map and sequence the entire human genome, began in 1990 and ended in 2003 with a starting budget of over $1.5 million. It provided us, for the first time, a means to access invaluable data through genes “ evolution patterns, diseases and their treatments, gene mutations and their effects, anthropological information, etc. Now, powerful … [Read more...] about Why Biotech Needs the Power of Data Analytics
