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DRZN / .block
Last active April 28, 2018 18:10
HW 06
license: mit
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DRZN / .block
Created April 20, 2018 20:27
HW -05
license:mit
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DRZN / .block
Created April 6, 2018 16:18
HW-04 part 2
license: mit
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DRZN / .block
Last active April 6, 2018 13:57
HW-04
license: mit
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DRZN / .block
Last active March 19, 2018 01:36
HW-03
license:mit
@DRZN
DRZN / .blocks
Created February 19, 2018 04:58
HW2 590V
license:mit
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DRZN / .block
Last active February 19, 2018 04:26
Homework 2
license :mit
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DRZN / .block
Last active February 19, 2018 04:24
Final submission
license: mit
@DRZN
DRZN / README.md
Created February 19, 2018 04:10
FINAL HW2 SUBMISSION 2/18/2018

Q1)

  • A scatter plot is one of the most basic type of visualization technique that creates a 2D plot and plots the datapoints as circles. (Can change). If added color, size, other dimensions can be displayed.

  • Creation (2D): Two dimensions are plotted on the x and y axes. All the data points are then plotted in reference to those dimensions. A scatter plot can have a title, legend, Labels etc to make it more informative. Scales are something one has to work towards.

  • Usage: One can use scatter plots when one has to find a relationship between 2 variables. The number of variables can be changed but it is best suited for identifying relationships when the variables are less. One can identify, differentiate, collate etc very

@DRZN
DRZN / README.md
Last active February 19, 2018 04:08
FINAL HW 2 SUBMISSION

Q1)

  • A scatter plot is one of the most basic type of visualization technique that creates a 2D plot and plots the datapoints as circles. (Can change). If added color, size, other dimensions can be displayed.

  • Creation (2D): Two dimensions are plotted on the x and y axes. All the data points are then plotted in reference to those dimensions. A scatter plot can have a title, legend, Labels etc to make it more informative. Scales are something one has to work towards.

  • Usage: One can use scatter plots when one has to find a relationship between 2 variables. The number of variables can be changed but it is best suited for identifying relationships when the variables are less. One can identify, differentiate, collate etc very