Data visualization is graphic representation of data in charts and dashboards.Data visualization is to communicate information clearly and effectively through graphical means. It is the mapping of data values to point in the multi-dimension spaces. Data visualization is a part of descriptive statistics. Represented data is transformed to categorical and quantitative forms. The concepts, Time-series, Ranking, Part-to-whole, Deviation, Frequency distribution, Correlation, Nominal comparison, and Geographic or Geo spatial are measured. Length, Shape, Orientation, and Color (hue) are used to visualize perceptive information to human. Transformed data is plotted in suitable dimensions considering the most holistic views and variations of Length, Shape, Orientation, and Color (hue). Length, Shape, Orientation, and Color (hue) are used logically on different types of charts,

• Table
• Line chart
• Bar chart
• Histogram
• Scatterplot
• Boxplot
• Pareto chart
• Pie chart
• Area chart
• Control chart
• Run chart
• Stem-and-leaf display
• Cartogram
• Small multiple
• Sparkline

We are helping organization or individual to plot charts and dashboards associated with out of box features of any software applications. We build data visualization on any of business cases or projects. We start with analyzing business requirement and mapping to logical views. We build back end layer-Database and server, business layer-business functions, and user interface. We are working on-premise as well as SaaS based models. We use open source framework as well as enterprise licensed framework. We utilize descriptive as well as predictive libraries for python and Node.js frameworks.

• Tableau
• Qlikview
• Power BI
• FusionCharts
• Highcharts
• Datawrapper
• D3
• Matplotlib
• Seaborn

We are reinventing ourself to a better version, stay tuned!