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DRZN / .block
Last active February 5, 2018 01:55
Homework 1
license:mit
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DRZN / dataset_wine.csv
Last active February 5, 2018 00:07
HW1
fixed acidity volatile acidity citric acid residual sugar chlorides free sulfur dioxide total sulfur dioxide density pH sulphates alcohol quality
7.4 0.7 0.0 1.9 0.076 11.0 34.0 0.9978 3.51 0.56 9.4 5
7.8 0.88 0.0 2.6 0.098 25.0 67.0 0.9968 3.2 0.68 9.8 5
7.8 0.76 0.04 2.3 0.092 15.0 54.0 0.997 3.26 0.65 9.8 5
11.2 0.28 0.56 1.9 0.075 17.0 60.0 0.998 3.16 0.58 9.8 6
7.4 0.7 0.0 1.9 0.076 11.0 34.0 0.9978 3.51 0.56 9.4 5
7.4 0.66 0.0 1.8 0.075 13.0 40.0 0.9978 3.51 0.56 9.4 5
7.9 0.6 0.06 1.6 0.069 15.0 59.0 0.9964 3.3 0.46 9.4 5
7.3 0.65 0.0 1.2 0.065 15.0 21.0 0.9946 3.39 0.47 10.0 7
7.8 0.58 0.02 2.0 0.073 9.0 18.0 0.9968 3.36 0.57 9.5 7
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DRZN / dataset_wine.csv
Last active February 5, 2018 02:36
Final version HW1
fixed_acidity volatile_acidity citric_acid residual_sugar chlorides free_sulfur_dioxide total_sulfur_dioxide density pH sulphates alcohol quality
7.9 0.35 0.46 3.6 0.078 15 37 0.9973 3.35 0.86 12.8 8
10.3 0.32 0.45 6.4 0.073 5 13 0.9976 3.23 0.82 12.6 8
5.6 0.85 0.05 1.4 0.045 12 88 0.9924 3.56 0.82 12.9 8
12.6 0.31 0.72 2.2 0.072 6 29 0.9987 2.88 0.82 9.8 8
11.3 0.62 0.67 5.2 0.086 6 19 0.9988 3.22 0.69 13.4 8
9.4 0.3 0.56 2.8 0.08 6 17 0.9964 3.15 0.92 11.7 8
10.7 0.35 0.53 2.6 0.07 5 16 0.9972 3.15 0.65 11 8
10.7 0.35 0.53 2.6 0.07 5 16 0.9972 3.15 0.65 11 8
5 0.42 0.24 2 0.06 19 50 0.9917 3.72 0.74 14 8
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DRZN / README.md
Last active February 19, 2018 03:58
HW 2

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 04:03
FINAL HW 2

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

@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 / .block
Last active February 19, 2018 04:24
Final submission
license: mit
@DRZN
DRZN / .block
Last active February 19, 2018 04:26
Homework 2
license :mit
@DRZN
DRZN / .blocks
Created February 19, 2018 04:58
HW2 590V
license:mit