Tools of Data Science (G7, W7, M7)
I arranged G7, W7 and M7 as basic tools of
Data Science
.
The original idea of these tools is from "
Seven QC Tools and New Seven QC Tools
" (Q7 and N7).
G7 and W7 are for beginners. M7 is for middle class users.
G7
"G" of G7 is "Graphs of Numbers".
G7 is similar to
Q7
.
Stratified Sampling
is also useful in G7

Bar Graph : Analysis of size. ("Pareto Chart" is arranged bar garaph.)

Line Chart : Time series analysis. ("Control Chart" is one of the line chart.)

Circle Graph : Analysis of ratio

Histogram : Analysis of distribution of 1 variable. (One of the Bar Graph)

Box Plot : Analysis of distribution of 1 variable. (similar to stratified histogram)

Scatter Diagram : Analysis of the relationship of two variables.
Analysis of distribution of composed 2 variables.
(To find
outlier
or to study small data set)

Heat Map :
Analysis of the relationship of two variables.
Analysis of distribution of composed 2 variables.
(To study big data set)
W7
"W" of W7 is "Analysis of Words".
Most of W7 are
Concept Analysis
.

Affinity Diagram : Classification of idea.
The method to collect
Brainstorming

CauseandEffect Diagram : To collect reasons and results.

Tree Diagram :
Similar to
FMEA
.
The next step of CauseandEffect Diagram.

Relation Diagram : Main part of
Systems Thinking
.

Matrix Diagram
: Applications are
QFD
,
Multi Dimensional Scaling
and
AHP.

PERT : Planning method.

Flow Chart : Analysis of the process
Whywhy Analysis
is a basis of concept analysis
W7 analyze the struture of phenomena as levels or networks.
The idea to think the structure is also useful in G7 and M7.
M7
"M" of M7 is "Mathematical Analysis".
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