Tableau is a Business Intelligence tool for visually analysing the data. Users can create and distribute interactive and shareable dashboards which depict the trends, variations and density of the data in form of graphs and charts. Tableau can connect to files, relational and Big data sources to acquire and process data. The software allows data blending and real time collaboration, which makes it very unique. It is used by businesses, academic researchers and many governments to do visual data analysis. It is also positioned as a leader Business Intelligence and Analytics Platform in Gartner Magic Quadrant.
Monday, 27 February 2017
Sunday, 12 February 2017
Visualising with Seaborn
Seaborn is a visualization library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and panda data structures and statistical routines from SciPy and statsmodels.
Violinplot:
Jointplot:
Implot:
Pairplot:
Heatmap:
Clustermap:
Tuesday, 7 February 2017
Connecting to Your Data with Tableau
In this post, we will explore some data from the General Social Survey. The General Social Survey is an NSF-funded survey, interviewing more than 50,000 Americans over nearly 3 decades. Survey questions cover topics ranging from political, to economic, to educational and more. We will be taking premarital sex into consideration.
Thursday, 2 February 2017
Playing Around with Google Charts
In this post, I'll be trying my hand at creating a basic Google Chart.
I'm plotting a pie chart depicting the toppings that I like to have on a pizza.
googleVis - Google Charts & R
Data: StateMilk • Chart ID: GeoChartID216b4a75f4f6 • googleVis-0.6.2
R version 3.3.1 (2016-06-21) • Google Terms of Use • Documentation and Data Policy
R version 3.3.1 (2016-06-21) • Google Terms of Use • Documentation and Data Policy
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