Introduction
Project Life Cycle
Data Exploration
, Measure of Measure of
Central
tender : van
ability :
the
the value →
spread around the
• °
→ variante
average
men .
men .
•
media → the middlevalue °
Standard deviatie
the
'
mode the meest Standard
frequent value of
•
→ °
error
. man .
Statistical particular distribution
Many or machine
learning methods only work with .
Normen Uniform Exponentieel Poisson Bimodel
n n - m
-
If find mistake, fix or delete it
join
a .
If find an outlier trim winsuite or delete it
join ,
.
,
↳
denge He took %
gne
- He
Positive steen rednced to the sort
is
by .
gratie .
using
the
spare
roof or
log .
✓, vz Visuele
\
- -
-
telde
categoriaal categoriaal cross -
at . cont .
boxplot
shew sober
positive continuas cont .
plot .
G
Boxplot and Lower band
Negatiethe
steen remt
bij boxes the
#
is :
Upper of are
sopraang
data values .
↳
% ,
25k and 75k percent Centerquark Range)
IN"
whiskey min and values unless there is
\
are max
¥ an ondier .
An ondier
beyond
°
is 1.5 IQR .
steen
negatie
Data Wrangling
} IIItijdrit ! .pk
it eten .
ha Dorp understand what
aanging
a. .
•
have
join
.
,
data and weduwes of
transformatie
strengthabout data
°
assess
jour .
what
Stages of
wroeging hypothese to do with
goudata
•
: .
it
Raw → data
ingestaan &
discovery yet reedy
• •
.
.
•
Retinol
•
Production
Wroeging issues :
Subjectie geding
structure
•
the shape
" "
of datakte → e. Is XML Tables etc
g.
-
a om .
, , ,
Low linehouse attributen
granulaat is each datum →
given Relation ,
key unigndy
•
a
-
a
fairness kon en dus the data determine the value each record
capture reality
•
-
-
" " in .
hou ontken &
temporalis is the datasiterated intieme ↳
goed date
cleaning hygiene
•
-
.
-
hou (incomplete is the date
scope
•
Project Life Cycle
Data Exploration
, Measure of Measure of
Central
tender : van
ability :
the
the value →
spread around the
• °
→ variante
average
men .
men .
•
media → the middlevalue °
Standard deviatie
the
'
mode the meest Standard
frequent value of
•
→ °
error
. man .
Statistical particular distribution
Many or machine
learning methods only work with .
Normen Uniform Exponentieel Poisson Bimodel
n n - m
-
If find mistake, fix or delete it
join
a .
If find an outlier trim winsuite or delete it
join ,
.
,
↳
denge He took %
gne
- He
Positive steen rednced to the sort
is
by .
gratie .
using
the
spare
roof or
log .
✓, vz Visuele
\
- -
-
telde
categoriaal categoriaal cross -
at . cont .
boxplot
shew sober
positive continuas cont .
plot .
G
Boxplot and Lower band
Negatiethe
steen remt
bij boxes the
#
is :
Upper of are
sopraang
data values .
↳
% ,
25k and 75k percent Centerquark Range)
IN"
whiskey min and values unless there is
\
are max
¥ an ondier .
An ondier
beyond
°
is 1.5 IQR .
steen
negatie
Data Wrangling
} IIItijdrit ! .pk
it eten .
ha Dorp understand what
aanging
a. .
•
have
join
.
,
data and weduwes of
transformatie
strengthabout data
°
assess
jour .
what
Stages of
wroeging hypothese to do with
goudata
•
: .
it
Raw → data
ingestaan &
discovery yet reedy
• •
.
.
•
Retinol
•
Production
Wroeging issues :
Subjectie geding
structure
•
the shape
" "
of datakte → e. Is XML Tables etc
g.
-
a om .
, , ,
Low linehouse attributen
granulaat is each datum →
given Relation ,
key unigndy
•
a
-
a
fairness kon en dus the data determine the value each record
capture reality
•
-
-
" " in .
hou ontken &
temporalis is the datasiterated intieme ↳
goed date
cleaning hygiene
•
-
.
-
hou (incomplete is the date
scope
•
