Page 1 - Data Visualization and types,diff tools and tableau

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Data Visualization

Data Visualization is defined as converting the data sources into a visual representation (like charts,

graphs, maps, sometimes even just tables) to help people understand the significance of that data.

Data in text form can be really confusing.So data represented in a visual format helps people extract
meaning from that data much more quickly and easily.

Data visualization is one of the most important components of analytics

Categories of data visualization:

1.) Exploratory data visualization

2.) Explanatory data visualization

The two serve different purposes, and so there are tools and approaches for each category.

Exploratory data visualization:

Exploratory data visualizations are appropriate when we have a whole bunch of data and you’re not

sure what’s in it. When we need to get a sense of what’s inside our data set, translating it into a visual
medium .It can help we quickly identify its features.

So exploration is used to find the story of the data has to tell you.

Explanatory data visualization:

Explanatory data visualization is appropriate when we already know what the data as to say, and
we are trying to tell that story to somebody else.

So this is a process of selecting focused data that will support the story we are trying to tell.

Hence ,Exploratory data visualization is part of the data analysis phase. Explanatory data visualization
is part of the presentation phase.