Visualization Concepts¶

Overview¶

Chart Element¶

Know your annotation chart elements¶

[Diagram]

Process to make Chart¶

a) Define Story, Concepts, Data, Visualization

b) Predefine Datasets and multiples attributes related

c) Organization Templates

Plot Selection¶

Story Telling Point¶

Common Tools¶

mathplotlib¶

seaborn¶

Themes Design¶

Save Chart¶

How to save chart output?

import matplotlib.pyplot as plt
plt.show()

Command Line Snapshot to output¶

Common chart¶

Snipset¶

In real-world, there are a little bit time to get the insights and visualization tasks is just a small components of it and there are not a lot of time can spend to. So to make it easy for you to create multiple things, you should spend your time to create a various set of componets and using it overtimes.

Enhance with Class Chart¶

Class Method is one of the best way to enhance your chart in the concepts, both can using for R and Python.

class OrangizationChart:
    def __init__(self):
        # Define Template
        pass

    def save_to(self, path, default_setting):
        pass

Advice¶

Dont take so much time for visualization. Take your time to predefined set.
Clear target, dont make they think and focus on your insight/emphasize
Using multiple plot grid chart
Always giving more informations: like contexts of the charts, statistics number relevant
Sources and snapshot.