[P3-DS] My Data Science Path 2019 sept — 2nd week:
Subject: In this Post i’ll explain about where and how to learn data visualization and Seaborn
Hello guys welcome back to the 3rd post of my ds path in last post i said where i’m learning the pandas and EDA , this post all about visualization so let’s get into it.
Where i’m Learning ?
I am Learning from Data Science For All (YOUTUBE channel) i’m not saying this is the best because he’s not the explain the statistics behind it , he’s just using the API and displaying the all type of visualization that’s good because we can understand what are the types of plot graphs available but we need to do some search what are stats behind that because the seaborn is Statistics data visualization library.
How i am Learning ?
As i said in above para i’m searching and understating the statistics behind the seaborn each graph/plot in seaborn API area like bar plot , dist plot , box plot we needs to know IQR , KDE , Mean etc ..,(these plots are basics)
Some other tools for visualization ?
we need to learn few other tools also because seaborn is just a statistics based visualization what if we need beautiful interactive visualization ? I already have few experience in matplotlib , Bokeh(you can learn plotly also) these tools are very useful for creating beautiful graphs.
i’m planning of posting best resources(one in post) in each of my post (if get anything good):
Resources of Post(Free course):
