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python-data-visualization

Data Visualization

###Why Visualization is important ?

below example shows each of the branches had similar average sales and discount rates, and the corresponding standard deviations were similar as well, as shown in the table below.

data_set_with_stats

However, the patterns in the underlying data and the difference became apparent when visualised through appropriate plots.

data_set_with_stats

Mumbai sales shoot up with increasing discount, then goes a little down and then up/ Over all up

For Bangalore, sales increases with discount with 1 exception

For Hyderabad , it starts to fall down post a thresh hold discount

For Kolkata, irrespective of discount sale is increasing

Tasks:

  1. create a heat map for all cricket players, strike rate and runs. Against a country or a tournament

https://gramener.com/cricket/

  1. Banking and Financial graph--Helping in understanding flow and structures how stocks behave on the day budget is announced

    https://gramener.com/budget/?Year=2007

  2. Visualization of Music softwares: https://gramener.com/software/

Software have form clusters basis on different usage. Some for copyrighting music, some for playing etc

Important points to note:

  1. Visualization can be misleading like numbers
  2. Visualizations if nonlinear, then give some hints to clients
  3. Visualization is important to augment the data characters and not replacing naratives

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Data Visualization

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