Apply PCA ( Principal Component Analysis ) in
python to this data set below that is a csv file
Then plot it with different colors. Thank you I will UPVOTE!
target
A
B
C
D
E
F
G
surprise
2
3
1
1
19
12
0
sad
2
0
0
2
12
1
15
angry
95
2
1
0
1
0
1
sad
4
56
2
0
0
3
1
neutral
1
2
2
0
39
0
11
happy
0
0...
Apply PCA ( Principal Component Analysis ) in
python to this data set below that is a csv file
Then plot it. Thank you I will UPVOTE!
A
B
C
D
E
F
G
2
3
1
1
19
12
0
2
0
0
2
12
1
15
95
2
1
0
1
0
1
4
56
2
0
0
3
1
1
2
2
0
39
0
11
0
0
0
34
1
0
0
5
55
0
0
0...
1a)state the properties of characteristics roots
1b)state the features of principal component analysis
1c)what are the aims of principal component analysis
1d)given the vector X1 and X2 from a multivariate normal
population, define the conditional distribution of X1
What is an Inner joins vs. outer joins?
What is a Natural Join vs. Cross join?
What is a Subquery?
4, What is a Transaction? Show an example.
5. What is a purpose of Lock Manager when a
RDBMS processes transactions?
Run a Principal Axis Factor Analysis (PFA), with default
settings for the “Eigenvalue greater than 1” option. Just use the
default rotation of ‘orthogonal’ for now.
a.)Considering at least two rules-of-thumb discussed, what do
the eigenvalues (you will need to “eyeball” these values from the
plots) and scree plot suggest about the number of factors
underlying the variables? Explain your answer (10 points)
b.)Interpret and explain the communality variables (Hint:
remember communality = 1 – uniqueness)? In what way do...
I already ran PCA on data given in last
Principal Component Analysis: Energy_kcal, Protein_g, Fat_g,
Carb_g
Eigenanalysis of the Correlation Matrix
Eigenvalue 2.2504 1.1894 0.5583 0.0018
Proportion 0.563 0.297 0.140 0.000
Cumulative 0.563 0.860 1.000 1.000
Variable PC1 PC2 PC3 PC4
Energy_kcal 0.663 0.090 -0.028 -0.743
Protein_g 0.399 -0.578 0.663 0.261
Fat_g 0.604 0.027 -0.563 0.564
Carb_g 0.191 0.811 0.494 0.250
I ned answers to these two parts
State principal components as linear combination of
given set of variables.
Explain...