Turning raw data into insights often involves integrating data from multiple disparate sources (not just limited structured one), analyzing the data, visualizing it and socializing the results/insights to a broader audience to whom the results are of interest. In this cycle of turning data into insights, Visualization plays a vital role and hence would be the topic of my discussion in this blog post . Visualization could aid in analyzing huge data by identifying patterns which are easily interpretable visually as compared to tabular layout of numbers.Second, Visualization could help represent the numbers using visuals which are easy for everyone to read and understand. One could easily convey the insights of the analysis by visuals, grasped in a minute or two, which might have possibly took 3-4 mins using textual aid/table of numbers.This is a important factor to consider especially when are you delivering the findings to the CEO/CFO/CXO/CIO of a company, as often they have limited time.
Going back to history of visualization. The most famous, early example mapping epidemiological data was Dr. John Snow’s map of deaths from a cholera outbreak in London, 1854, in relation to the locations of public water pumps. The original (high-res PDF copies from UCLA), spawned many imitators including this simplified version by Gilbert in 1958. Tufte (1983, p. 24) says,”Snow observed that cholera occurred almost entirely among those who lived near (and drank from) the Broad Street water pump. He had the handle of the contaminated pump removed, ending the neighborhood epidemic which had taken more than 500 lives.”
The following pointers should help anyone analyze data and socialize finding by effective newer visualizations techniques:
1. Fusion Charts – involves basic chart types, all it needs is a data file, configuration file and can link the chart to the data file, flash based & supports interactive charts, web supported.
2. Fusion Maps – contains maps of all counties and major cities world wide, interactive, flash based, involves data file and configuration file, web supported.
3. Fusion Widgets – involves coolest visualization techniques like angular gauge, spark line/column,gant chart, pyramid, cylindrical & thermometric gauge & bulb gauge. Some of these charts have power to do real time streaming generally used in stock market analysis.
4. Power Charts – contains some of the rare chart types like node chart, heat map, waterfall chart, multilevel pie chart, candlestick chart,etc. again flash based and hence web supported.
4. R – Revolution Computing – a powerful open source data mining/stat language which can generate stacked multi-combinatorial charts using a single line of command.
6. Google Charts – contains all basic chart types, from google.
7. Custom Flex Charts – Using customer written flex code and action script code.
8. Microsoft Excel – famous for its quick and ease of chart creation , latest version now has spark line chart support.
9. Tableau – Data Exploration– would recommend this tool for rapid fire analytics involving various dimension, it is just as easy as drag and drop to change views of the metrics by dimension hierarchy.
10. BI Report Tools – BOXI, Cognos – commercial BI tools with support for creation of various report type based on charts and tabular layouts.
Industry Trends involve real time streaming of charts – used in supply chain analytics, interactive charts, mobile supported charts, Creating alerts in charts(for example alert biz. users sending an email, as the sales of any product goes below $x on three consecutive days and so on..), video & audio supported charts.