Overview

Dataset statistics

Number of variables24
Number of observations75
Missing cells715
Missing cells (%)39.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory195.8 B

Variable types

Numeric1
Categorical3
Text18
Boolean1
Unsupported1

Alerts

data_day has constant value ""Constant
apr_at has constant value ""Constant
last_load_dttm has constant value ""Constant
junggu has 44 (58.7%) missing valuesMissing
seogu has 38 (50.7%) missing valuesMissing
donggu has 32 (42.7%) missing valuesMissing
yeongdogu has 36 (48.0%) missing valuesMissing
jingu has 38 (50.7%) missing valuesMissing
donglaegu has 42 (56.0%) missing valuesMissing
namgu has 32 (42.7%) missing valuesMissing
buggu has 32 (42.7%) missing valuesMissing
haeundaegu has 47 (62.7%) missing valuesMissing
sahagu has 46 (61.3%) missing valuesMissing
geumjeonggu has 40 (53.3%) missing valuesMissing
gangseogu has 40 (53.3%) missing valuesMissing
yeonjegu has 49 (65.3%) missing valuesMissing
suyeonggu has 44 (58.7%) missing valuesMissing
sasanggu has 40 (53.3%) missing valuesMissing
gijanggun has 40 (53.3%) missing valuesMissing
gugun has 75 (100.0%) missing valuesMissing
skey has unique valuesUnique
gugun is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 12:23:52.467119
Analysis finished2024-04-16 12:23:52.923978
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162
Minimum125
Maximum199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-04-16T21:23:52.991499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125
5-th percentile128.7
Q1143.5
median162
Q3180.5
95-th percentile195.3
Maximum199
Range74
Interquartile range (IQR)37

Descriptive statistics

Standard deviation21.794495
Coefficient of variation (CV)0.13453392
Kurtosis-1.2
Mean162
Median Absolute Deviation (MAD)19
Skewness0
Sum12150
Variance475
MonotonicityStrictly increasing
2024-04-16T21:23:53.120858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125 1
 
1.3%
173 1
 
1.3%
180 1
 
1.3%
179 1
 
1.3%
178 1
 
1.3%
177 1
 
1.3%
176 1
 
1.3%
175 1
 
1.3%
174 1
 
1.3%
172 1
 
1.3%
Other values (65) 65
86.7%
ValueCountFrequency (%)
125 1
1.3%
126 1
1.3%
127 1
1.3%
128 1
1.3%
129 1
1.3%
130 1
1.3%
131 1
1.3%
132 1
1.3%
133 1
1.3%
134 1
1.3%
ValueCountFrequency (%)
199 1
1.3%
198 1
1.3%
197 1
1.3%
196 1
1.3%
195 1
1.3%
194 1
1.3%
193 1
1.3%
192 1
1.3%
191 1
1.3%
190 1
1.3%

test_kind
Categorical

Distinct20
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
간기능검사
14 
성병검사
12 
소변검사
8 
고지혈증검사
7 
신장기능검사
5 
Other values (15)
29 

Length

Max length10
Median length9
Mean length5.0933333
Min length3

Unique

Unique7 ?
Unique (%)9.3%

Sample

1st row신장기능검사
2nd row신장기능검사
3rd row암검사
4th row암검사
5th row암검사(정밀)

Common Values

ValueCountFrequency (%)
간기능검사 14
18.7%
성병검사 12
16.0%
소변검사 8
10.7%
고지혈증검사 7
9.3%
신장기능검사 5
 
6.7%
간염검사 5
 
6.7%
기타검사 4
 
5.3%
전혈구검사(CBC) 3
 
4.0%
빈혈검사 2
 
2.7%
기생충검사 2
 
2.7%
Other values (10) 13
17.3%

Length

2024-04-16T21:23:53.262582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
간기능검사 14
18.7%
성병검사 12
16.0%
소변검사 8
10.7%
고지혈증검사 7
9.3%
신장기능검사 5
 
6.7%
간염검사 5
 
6.7%
기타검사 4
 
5.3%
전혈구검사(cbc 3
 
4.0%
혈액검사 2
 
2.7%
흉부(x-선)촬영 2
 
2.7%
Other values (10) 13
17.3%

test_name
Text

Distinct74
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-04-16T21:23:53.486879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length117
Median length66
Mean length18.093333
Min length3

Characters and Unicode

Total characters1357
Distinct characters180
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)97.3%

Sample

1st row(3종) 요소질소(BUN), 크레아티닌(Creatinine), 요산(Uric Acid)
2nd row(7종) 요소질소(BUN), 크레아티닌(Creatinine), 요산(Uric Acid), 뇨스틱4종(뇨당,뇨단백,pH,잠혈)
3rd row간암(AFT)
4th row간암(AFP)
5th row대장암(CEA)
ValueCountFrequency (%)
alt(sgpt 7
 
4.3%
ast(sgot 7
 
4.3%
r-gtp(지방간 5
 
3.1%
포함 5
 
3.1%
요소질소(bun 4
 
2.5%
크레아티닌(creatinine 4
 
2.5%
알부민 4
 
2.5%
중성지방(tg 4
 
2.5%
2종 3
 
1.9%
3종 3
 
1.9%
Other values (91) 116
71.6%
2024-04-16T21:23:53.866770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 92
 
6.8%
( 92
 
6.8%
88
 
6.5%
, 84
 
6.2%
T 45
 
3.3%
A 31
 
2.3%
G 27
 
2.0%
P 25
 
1.8%
S 23
 
1.7%
혈 22
 
1.6%
Other values (170) 828
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 596
43.9%
Uppercase Letter 251
18.5%
Lowercase Letter 106
 
7.8%
Close Punctuation 92
 
6.8%
Open Punctuation 92
 
6.8%
Space Separator 88
 
6.5%
Other Punctuation 87
 
6.4%
Decimal Number 25
 
1.8%
Dash Punctuation 20
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
혈 22
 
3.7%
종 21
 
3.5%
소 20
 
3.4%
스 19
 
3.2%
리 17
 
2.9%
레 17
 
2.9%
뇨 17
 
2.9%
백 13
 
2.2%
간 13
 
2.2%
총 13
 
2.2%
Other values (117) 424
71.1%
Uppercase Letter
ValueCountFrequency (%)
T 45
17.9%
A 31
12.4%
G 27
10.8%
P 25
10.0%
S 23
9.2%
L 22
8.8%
H 12
 
4.8%
D 10
 
4.0%
C 10
 
4.0%
U 10
 
4.0%
Other values (10) 36
14.3%
Lowercase Letter
ValueCountFrequency (%)
i 20
18.9%
r 17
16.0%
e 13
12.3%
n 12
11.3%
c 7
 
6.6%
t 7
 
6.6%
a 6
 
5.7%
l 4
 
3.8%
b 3
 
2.8%
d 3
 
2.8%
Other values (7) 14
13.2%
Decimal Number
ValueCountFrequency (%)
4 4
16.0%
1 4
16.0%
7 3
12.0%
3 3
12.0%
2 3
12.0%
5 3
12.0%
6 2
8.0%
0 2
8.0%
8 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 84
96.6%
/ 2
 
2.3%
. 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Space Separator
ValueCountFrequency (%)
88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 596
43.9%
Common 404
29.8%
Latin 357
26.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
혈 22
 
3.7%
종 21
 
3.5%
소 20
 
3.4%
스 19
 
3.2%
리 17
 
2.9%
레 17
 
2.9%
뇨 17
 
2.9%
백 13
 
2.2%
간 13
 
2.2%
총 13
 
2.2%
Other values (117) 424
71.1%
Latin
ValueCountFrequency (%)
T 45
 
12.6%
A 31
 
8.7%
G 27
 
7.6%
P 25
 
7.0%
S 23
 
6.4%
L 22
 
6.2%
i 20
 
5.6%
r 17
 
4.8%
e 13
 
3.6%
n 12
 
3.4%
Other values (27) 122
34.2%
Common
ValueCountFrequency (%)
) 92
22.8%
( 92
22.8%
88
21.8%
, 84
20.8%
- 20
 
5.0%
4 4
 
1.0%
1 4
 
1.0%
7 3
 
0.7%
3 3
 
0.7%
2 3
 
0.7%
Other values (6) 11
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 761
56.1%
Hangul 596
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 92
 
12.1%
( 92
 
12.1%
88
 
11.6%
, 84
 
11.0%
T 45
 
5.9%
A 31
 
4.1%
G 27
 
3.5%
P 25
 
3.3%
S 23
 
3.0%
L 22
 
2.9%
Other values (43) 232
30.5%
Hangul
ValueCountFrequency (%)
혈 22
 
3.7%
종 21
 
3.5%
소 20
 
3.4%
스 19
 
3.2%
리 17
 
2.9%
레 17
 
2.9%
뇨 17
 
2.9%
백 13
 
2.2%
간 13
 
2.2%
총 13
 
2.2%
Other values (117) 424
71.1%

test_price
Text

Distinct56
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-04-16T21:23:54.076938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9466667
Min length2

Characters and Unicode

Total characters296
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)61.3%

Sample

1st row4930
2nd row5640
3rd row4230
4th row4230
5th row11300
ValueCountFrequency (%)
무료 6
 
8.0%
3590 5
 
6.7%
710 3
 
4.0%
1750 3
 
4.0%
4750 2
 
2.7%
6850 2
 
2.7%
3450 2
 
2.7%
1040 2
 
2.7%
4230 2
 
2.7%
1440 2
 
2.7%
Other values (46) 46
61.3%
2024-04-16T21:23:54.429927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 86
29.1%
1 44
14.9%
5 28
 
9.5%
3 25
 
8.4%
4 23
 
7.8%
7 18
 
6.1%
6 17
 
5.7%
9 15
 
5.1%
2 15
 
5.1%
8 13
 
4.4%
Other values (2) 12
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 284
95.9%
Other Letter 12
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 86
30.3%
1 44
15.5%
5 28
 
9.9%
3 25
 
8.8%
4 23
 
8.1%
7 18
 
6.3%
6 17
 
6.0%
9 15
 
5.3%
2 15
 
5.3%
8 13
 
4.6%
Other Letter
ValueCountFrequency (%)
무 6
50.0%
료 6
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 284
95.9%
Hangul 12
 
4.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 86
30.3%
1 44
15.5%
5 28
 
9.9%
3 25
 
8.8%
4 23
 
8.1%
7 18
 
6.3%
6 17
 
6.0%
9 15
 
5.3%
2 15
 
5.3%
8 13
 
4.6%
Hangul
ValueCountFrequency (%)
무 6
50.0%
료 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 284
95.9%
Hangul 12
 
4.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 86
30.3%
1 44
15.5%
5 28
 
9.9%
3 25
 
8.8%
4 23
 
8.1%
7 18
 
6.3%
6 17
 
6.0%
9 15
 
5.3%
2 15
 
5.3%
8 13
 
4.6%
Hangul
ValueCountFrequency (%)
무 6
50.0%
료 6
50.0%

junggu
Text

MISSING 

Distinct26
Distinct (%)83.9%
Missing44
Missing (%)58.7%
Memory size732.0 B
2024-04-16T21:23:54.599613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length3.9677419
Min length2

Characters and Unicode

Total characters123
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)74.2%

Sample

1st row4930
2nd row무료
3rd row1980
4th row32030
5th row6700
ValueCountFrequency (%)
무료 4
 
12.9%
3450 2
 
6.5%
1440 2
 
6.5%
16630 1
 
3.2%
4930 1
 
3.2%
1540 1
 
3.2%
710 1
 
3.2%
1750 1
 
3.2%
6210 1
 
3.2%
3590 1
 
3.2%
Other values (16) 16
51.6%
2024-04-16T21:23:54.890811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32
26.0%
1 17
13.8%
4 14
11.4%
5 11
 
8.9%
3 10
 
8.1%
6 8
 
6.5%
9 6
 
4.9%
2 5
 
4.1%
무 4
 
3.3%
료 4
 
3.3%
Other values (7) 12
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 110
89.4%
Other Letter 10
 
8.1%
Other Punctuation 1
 
0.8%
Open Punctuation 1
 
0.8%
Close Punctuation 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
29.1%
1 17
15.5%
4 14
12.7%
5 11
 
10.0%
3 10
 
9.1%
6 8
 
7.3%
9 6
 
5.5%
2 5
 
4.5%
7 4
 
3.6%
8 3
 
2.7%
Other Letter
ValueCountFrequency (%)
무 4
40.0%
료 4
40.0%
정 1
 
10.0%
밀 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 113
91.9%
Hangul 10
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 32
28.3%
1 17
15.0%
4 14
12.4%
5 11
 
9.7%
3 10
 
8.8%
6 8
 
7.1%
9 6
 
5.3%
2 5
 
4.4%
7 4
 
3.5%
8 3
 
2.7%
Other values (3) 3
 
2.7%
Hangul
ValueCountFrequency (%)
무 4
40.0%
료 4
40.0%
정 1
 
10.0%
밀 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113
91.9%
Hangul 10
 
8.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32
28.3%
1 17
15.0%
4 14
12.4%
5 11
 
9.7%
3 10
 
8.8%
6 8
 
7.1%
9 6
 
5.3%
2 5
 
4.4%
7 4
 
3.5%
8 3
 
2.7%
Other values (3) 3
 
2.7%
Hangul
ValueCountFrequency (%)
무 4
40.0%
료 4
40.0%
정 1
 
10.0%
밀 1
 
10.0%

seogu
Text

MISSING 

Distinct32
Distinct (%)86.5%
Missing38
Missing (%)50.7%
Memory size732.0 B
2024-04-16T21:23:55.070832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.7027027
Min length1

Characters and Unicode

Total characters137
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)78.4%

Sample

1st row무료
2nd row6850
3rd row1980
4th row6700
5th row6500
ValueCountFrequency (%)
무료 4
 
10.8%
3450 2
 
5.4%
1440 2
 
5.4%
1410 1
 
2.7%
1540 1
 
2.7%
710 1
 
2.7%
6210 1
 
2.7%
3590 1
 
2.7%
930 1
 
2.7%
1
 
2.7%
Other values (22) 22
59.5%
2024-04-16T21:23:55.357136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38
27.7%
1 20
14.6%
5 14
 
10.2%
4 11
 
8.0%
6 11
 
8.0%
3 10
 
7.3%
7 8
 
5.8%
8 7
 
5.1%
9 5
 
3.6%
무 4
 
2.9%
Other values (3) 9
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 128
93.4%
Other Letter 8
 
5.8%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38
29.7%
1 20
15.6%
5 14
 
10.9%
4 11
 
8.6%
6 11
 
8.6%
3 10
 
7.8%
7 8
 
6.2%
8 7
 
5.5%
9 5
 
3.9%
2 4
 
3.1%
Other Letter
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 129
94.2%
Hangul 8
 
5.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 38
29.5%
1 20
15.5%
5 14
 
10.9%
4 11
 
8.5%
6 11
 
8.5%
3 10
 
7.8%
7 8
 
6.2%
8 7
 
5.4%
9 5
 
3.9%
2 4
 
3.1%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 129
94.2%
Hangul 8
 
5.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38
29.5%
1 20
15.5%
5 14
 
10.9%
4 11
 
8.5%
6 11
 
8.5%
3 10
 
7.8%
7 8
 
6.2%
8 7
 
5.4%
9 5
 
3.9%
2 4
 
3.1%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

donggu
Text

MISSING 

Distinct35
Distinct (%)81.4%
Missing32
Missing (%)42.7%
Memory size732.0 B
2024-04-16T21:23:55.556103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.744186
Min length2

Characters and Unicode

Total characters161
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)69.8%

Sample

1st row무료
2nd row4750
3rd row1980
4th row6700
5th row6500
ValueCountFrequency (%)
무료 5
 
11.6%
3450 2
 
4.7%
1440 2
 
4.7%
4750 2
 
4.7%
710 2
 
4.7%
950 1
 
2.3%
10480 1
 
2.3%
16630 1
 
2.3%
880 1
 
2.3%
1410 1
 
2.3%
Other values (25) 25
58.1%
2024-04-16T21:23:55.870872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 44
27.3%
1 23
14.3%
5 17
 
10.6%
4 16
 
9.9%
7 11
 
6.8%
3 10
 
6.2%
6 10
 
6.2%
8 8
 
5.0%
2 7
 
4.3%
무 5
 
3.1%
Other values (2) 10
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 151
93.8%
Other Letter 10
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
29.1%
1 23
15.2%
5 17
 
11.3%
4 16
 
10.6%
7 11
 
7.3%
3 10
 
6.6%
6 10
 
6.6%
8 8
 
5.3%
2 7
 
4.6%
9 5
 
3.3%
Other Letter
ValueCountFrequency (%)
무 5
50.0%
료 5
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 151
93.8%
Hangul 10
 
6.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 44
29.1%
1 23
15.2%
5 17
 
11.3%
4 16
 
10.6%
7 11
 
7.3%
3 10
 
6.6%
6 10
 
6.6%
8 8
 
5.3%
2 7
 
4.6%
9 5
 
3.3%
Hangul
ValueCountFrequency (%)
무 5
50.0%
료 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 151
93.8%
Hangul 10
 
6.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 44
29.1%
1 23
15.2%
5 17
 
11.3%
4 16
 
10.6%
7 11
 
7.3%
3 10
 
6.6%
6 10
 
6.6%
8 8
 
5.3%
2 7
 
4.6%
9 5
 
3.3%
Hangul
ValueCountFrequency (%)
무 5
50.0%
료 5
50.0%

yeongdogu
Text

MISSING 

Distinct33
Distinct (%)84.6%
Missing36
Missing (%)48.0%
Memory size732.0 B
2024-04-16T21:23:56.037645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4
Min length2

Characters and Unicode

Total characters156
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)74.4%

Sample

1st row4930
2nd row5640
3rd row무료
4th row4750
5th row1980
ValueCountFrequency (%)
무료 4
 
10.3%
1440 2
 
5.1%
3450 2
 
5.1%
4750 2
 
5.1%
7650 1
 
2.6%
1540 1
 
2.6%
710 1
 
2.6%
1040 1
 
2.6%
6210 1
 
2.6%
3590 1
 
2.6%
Other values (23) 23
59.0%
2024-04-16T21:23:56.345465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 44
28.2%
1 22
14.1%
4 16
 
10.3%
5 15
 
9.6%
3 12
 
7.7%
6 11
 
7.1%
7 8
 
5.1%
2 7
 
4.5%
9 6
 
3.8%
무 4
 
2.6%
Other values (7) 11
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 143
91.7%
Other Letter 10
 
6.4%
Other Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
30.8%
1 22
15.4%
4 16
 
11.2%
5 15
 
10.5%
3 12
 
8.4%
6 11
 
7.7%
7 8
 
5.6%
2 7
 
4.9%
9 6
 
4.2%
8 2
 
1.4%
Other Letter
ValueCountFrequency (%)
무 4
40.0%
료 4
40.0%
정 1
 
10.0%
밀 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 146
93.6%
Hangul 10
 
6.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 44
30.1%
1 22
15.1%
4 16
 
11.0%
5 15
 
10.3%
3 12
 
8.2%
6 11
 
7.5%
7 8
 
5.5%
2 7
 
4.8%
9 6
 
4.1%
8 2
 
1.4%
Other values (3) 3
 
2.1%
Hangul
ValueCountFrequency (%)
무 4
40.0%
료 4
40.0%
정 1
 
10.0%
밀 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 146
93.6%
Hangul 10
 
6.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 44
30.1%
1 22
15.1%
4 16
 
11.0%
5 15
 
10.3%
3 12
 
8.2%
6 11
 
7.5%
7 8
 
5.5%
2 7
 
4.8%
9 6
 
4.1%
8 2
 
1.4%
Other values (3) 3
 
2.1%
Hangul
ValueCountFrequency (%)
무 4
40.0%
료 4
40.0%
정 1
 
10.0%
밀 1
 
10.0%

jingu
Text

MISSING 

Distinct31
Distinct (%)83.8%
Missing38
Missing (%)50.7%
Memory size732.0 B
2024-04-16T21:23:56.507067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.7567568
Min length2

Characters and Unicode

Total characters139
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)73.0%

Sample

1st row4930
2nd row5640
3rd row무료
4th row6850
5th row1980
ValueCountFrequency (%)
무료 4
 
10.8%
710 2
 
5.4%
3450 2
 
5.4%
1440 2
 
5.4%
950 1
 
2.7%
1410 1
 
2.7%
1540 1
 
2.7%
3590 1
 
2.7%
4020 1
 
2.7%
880 1
 
2.7%
Other values (21) 21
56.8%
2024-04-16T21:23:56.787528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37
26.6%
1 20
14.4%
5 13
 
9.4%
4 12
 
8.6%
6 12
 
8.6%
3 9
 
6.5%
7 8
 
5.8%
9 7
 
5.0%
8 7
 
5.0%
2 6
 
4.3%
Other values (2) 8
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 131
94.2%
Other Letter 8
 
5.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
28.2%
1 20
15.3%
5 13
 
9.9%
4 12
 
9.2%
6 12
 
9.2%
3 9
 
6.9%
7 8
 
6.1%
9 7
 
5.3%
8 7
 
5.3%
2 6
 
4.6%
Other Letter
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 131
94.2%
Hangul 8
 
5.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37
28.2%
1 20
15.3%
5 13
 
9.9%
4 12
 
9.2%
6 12
 
9.2%
3 9
 
6.9%
7 8
 
6.1%
9 7
 
5.3%
8 7
 
5.3%
2 6
 
4.6%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 131
94.2%
Hangul 8
 
5.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37
28.2%
1 20
15.3%
5 13
 
9.9%
4 12
 
9.2%
6 12
 
9.2%
3 9
 
6.9%
7 8
 
6.1%
9 7
 
5.3%
8 7
 
5.3%
2 6
 
4.6%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

donglaegu
Text

MISSING 

Distinct27
Distinct (%)81.8%
Missing42
Missing (%)56.0%
Memory size732.0 B
2024-04-16T21:23:56.942397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length4.1212121
Min length2

Characters and Unicode

Total characters136
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)72.7%

Sample

1st row7790(정밀)
2nd row11300(정밀)
3rd row무료
4th row4750
5th row1980
ValueCountFrequency (%)
무료 5
 
15.2%
3450 2
 
6.1%
1440 2
 
6.1%
4020 1
 
3.0%
1410 1
 
3.0%
1540 1
 
3.0%
710 1
 
3.0%
6210 1
 
3.0%
3590 1
 
3.0%
1750 1
 
3.0%
Other values (17) 17
51.5%
2024-04-16T21:23:57.201847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32
23.5%
1 16
11.8%
5 12
 
8.8%
4 11
 
8.1%
6 8
 
5.9%
3 7
 
5.1%
7 7
 
5.1%
9 7
 
5.1%
2 6
 
4.4%
8 6
 
4.4%
Other values (10) 24
17.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 112
82.4%
Other Letter 18
 
13.2%
Open Punctuation 3
 
2.2%
Close Punctuation 3
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
28.6%
1 16
14.3%
5 12
 
10.7%
4 11
 
9.8%
6 8
 
7.1%
3 7
 
6.2%
7 7
 
6.2%
9 7
 
6.2%
2 6
 
5.4%
8 6
 
5.4%
Other Letter
ValueCountFrequency (%)
무 5
27.8%
료 5
27.8%
정 2
 
11.1%
밀 2
 
11.1%
항 1
 
5.6%
원 1
 
5.6%
포 1
 
5.6%
함 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 118
86.8%
Hangul 18
 
13.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 32
27.1%
1 16
13.6%
5 12
 
10.2%
4 11
 
9.3%
6 8
 
6.8%
3 7
 
5.9%
7 7
 
5.9%
9 7
 
5.9%
2 6
 
5.1%
8 6
 
5.1%
Other values (2) 6
 
5.1%
Hangul
ValueCountFrequency (%)
무 5
27.8%
료 5
27.8%
정 2
 
11.1%
밀 2
 
11.1%
항 1
 
5.6%
원 1
 
5.6%
포 1
 
5.6%
함 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118
86.8%
Hangul 18
 
13.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32
27.1%
1 16
13.6%
5 12
 
10.2%
4 11
 
9.3%
6 8
 
6.8%
3 7
 
5.9%
7 7
 
5.9%
9 7
 
5.9%
2 6
 
5.1%
8 6
 
5.1%
Other values (2) 6
 
5.1%
Hangul
ValueCountFrequency (%)
무 5
27.8%
료 5
27.8%
정 2
 
11.1%
밀 2
 
11.1%
항 1
 
5.6%
원 1
 
5.6%
포 1
 
5.6%
함 1
 
5.6%

namgu
Text

MISSING 

Distinct37
Distinct (%)86.0%
Missing32
Missing (%)42.7%
Memory size732.0 B
2024-04-16T21:23:57.375707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.7906977
Min length2

Characters and Unicode

Total characters163
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)76.7%

Sample

1st row4930
2nd row무료
3rd row4750
4th row6850
5th row1980
ValueCountFrequency (%)
무료 4
 
9.3%
710 2
 
4.7%
3450 2
 
4.7%
1440 2
 
4.7%
950 1
 
2.3%
1540 1
 
2.3%
2550 1
 
2.3%
1040 1
 
2.3%
7650 1
 
2.3%
6210 1
 
2.3%
Other values (27) 27
62.8%
2024-04-16T21:23:57.674371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 45
27.6%
1 24
14.7%
5 18
 
11.0%
4 15
 
9.2%
6 11
 
6.7%
7 10
 
6.1%
3 10
 
6.1%
9 8
 
4.9%
2 7
 
4.3%
8 7
 
4.3%
Other values (2) 8
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 155
95.1%
Other Letter 8
 
4.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45
29.0%
1 24
15.5%
5 18
 
11.6%
4 15
 
9.7%
6 11
 
7.1%
7 10
 
6.5%
3 10
 
6.5%
9 8
 
5.2%
2 7
 
4.5%
8 7
 
4.5%
Other Letter
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 155
95.1%
Hangul 8
 
4.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 45
29.0%
1 24
15.5%
5 18
 
11.6%
4 15
 
9.7%
6 11
 
7.1%
7 10
 
6.5%
3 10
 
6.5%
9 8
 
5.2%
2 7
 
4.5%
8 7
 
4.5%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 155
95.1%
Hangul 8
 
4.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 45
29.0%
1 24
15.5%
5 18
 
11.6%
4 15
 
9.7%
6 11
 
7.1%
7 10
 
6.5%
3 10
 
6.5%
9 8
 
5.2%
2 7
 
4.5%
8 7
 
4.5%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

buggu
Text

MISSING 

Distinct36
Distinct (%)83.7%
Missing32
Missing (%)42.7%
Memory size732.0 B
2024-04-16T21:23:57.858727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.8604651
Min length2

Characters and Unicode

Total characters166
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)74.4%

Sample

1st row4930
2nd row4230
3rd row무료
4th row4750
5th row1980
ValueCountFrequency (%)
무료 4
 
9.3%
3590 3
 
7.0%
1440 2
 
4.7%
3450 2
 
4.7%
5860 1
 
2.3%
4930 1
 
2.3%
14320 1
 
2.3%
5730 1
 
2.3%
4020 1
 
2.3%
1410 1
 
2.3%
Other values (26) 26
60.5%
2024-04-16T21:23:58.157308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46
27.7%
1 24
14.5%
4 16
 
9.6%
3 15
 
9.0%
5 15
 
9.0%
9 10
 
6.0%
6 9
 
5.4%
8 8
 
4.8%
2 8
 
4.8%
7 7
 
4.2%
Other values (2) 8
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 158
95.2%
Other Letter 8
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
29.1%
1 24
15.2%
4 16
 
10.1%
3 15
 
9.5%
5 15
 
9.5%
9 10
 
6.3%
6 9
 
5.7%
8 8
 
5.1%
2 8
 
5.1%
7 7
 
4.4%
Other Letter
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 158
95.2%
Hangul 8
 
4.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46
29.1%
1 24
15.2%
4 16
 
10.1%
3 15
 
9.5%
5 15
 
9.5%
9 10
 
6.3%
6 9
 
5.7%
8 8
 
5.1%
2 8
 
5.1%
7 7
 
4.4%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 158
95.2%
Hangul 8
 
4.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46
29.1%
1 24
15.2%
4 16
 
10.1%
3 15
 
9.5%
5 15
 
9.5%
9 10
 
6.3%
6 9
 
5.7%
8 8
 
5.1%
2 8
 
5.1%
7 7
 
4.4%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

haeundaegu
Text

MISSING 

Distinct25
Distinct (%)89.3%
Missing47
Missing (%)62.7%
Memory size732.0 B
2024-04-16T21:23:58.327414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.8928571
Min length2

Characters and Unicode

Total characters109
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)78.6%

Sample

1st row4230
2nd row무료
3rd row4650
4th row1980
5th row6700
ValueCountFrequency (%)
6700 2
 
7.1%
무료 2
 
7.1%
1440 2
 
7.1%
14320 1
 
3.6%
5730 1
 
3.6%
710 1
 
3.6%
6210 1
 
3.6%
930 1
 
3.6%
16630 1
 
3.6%
10500 1
 
3.6%
Other values (15) 15
53.6%
2024-04-16T21:23:58.617348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 34
31.2%
1 14
12.8%
6 12
 
11.0%
7 9
 
8.3%
4 9
 
8.3%
3 9
 
8.3%
5 8
 
7.3%
2 6
 
5.5%
9 3
 
2.8%
무 2
 
1.8%
Other values (2) 3
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 105
96.3%
Other Letter 4
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 34
32.4%
1 14
13.3%
6 12
 
11.4%
7 9
 
8.6%
4 9
 
8.6%
3 9
 
8.6%
5 8
 
7.6%
2 6
 
5.7%
9 3
 
2.9%
8 1
 
1.0%
Other Letter
ValueCountFrequency (%)
무 2
50.0%
료 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 105
96.3%
Hangul 4
 
3.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 34
32.4%
1 14
13.3%
6 12
 
11.4%
7 9
 
8.6%
4 9
 
8.6%
3 9
 
8.6%
5 8
 
7.6%
2 6
 
5.7%
9 3
 
2.9%
8 1
 
1.0%
Hangul
ValueCountFrequency (%)
무 2
50.0%
료 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 105
96.3%
Hangul 4
 
3.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 34
32.4%
1 14
13.3%
6 12
 
11.4%
7 9
 
8.6%
4 9
 
8.6%
3 9
 
8.6%
5 8
 
7.6%
2 6
 
5.7%
9 3
 
2.9%
8 1
 
1.0%
Hangul
ValueCountFrequency (%)
무 2
50.0%
료 2
50.0%

sahagu
Text

MISSING 

Distinct23
Distinct (%)79.3%
Missing46
Missing (%)61.3%
Memory size732.0 B
2024-04-16T21:23:58.809908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.7241379
Min length2

Characters and Unicode

Total characters108
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)65.5%

Sample

1st row4930
2nd row무료
3rd row4750
4th row32030
5th row6700
ValueCountFrequency (%)
무료 4
 
13.8%
3590 2
 
6.9%
3450 2
 
6.9%
1440 2
 
6.9%
5860 1
 
3.4%
4930 1
 
3.4%
6210 1
 
3.4%
950 1
 
3.4%
930 1
 
3.4%
5040 1
 
3.4%
Other values (13) 13
44.8%
2024-04-16T21:23:59.100946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31
28.7%
4 11
 
10.2%
3 11
 
10.2%
5 11
 
10.2%
1 9
 
8.3%
9 6
 
5.6%
6 6
 
5.6%
8 6
 
5.6%
7 5
 
4.6%
무 4
 
3.7%
Other values (2) 8
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100
92.6%
Other Letter 8
 
7.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
31.0%
4 11
 
11.0%
3 11
 
11.0%
5 11
 
11.0%
1 9
 
9.0%
9 6
 
6.0%
6 6
 
6.0%
8 6
 
6.0%
7 5
 
5.0%
2 4
 
4.0%
Other Letter
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100
92.6%
Hangul 8
 
7.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31
31.0%
4 11
 
11.0%
3 11
 
11.0%
5 11
 
11.0%
1 9
 
9.0%
9 6
 
6.0%
6 6
 
6.0%
8 6
 
6.0%
7 5
 
5.0%
2 4
 
4.0%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100
92.6%
Hangul 8
 
7.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31
31.0%
4 11
 
11.0%
3 11
 
11.0%
5 11
 
11.0%
1 9
 
9.0%
9 6
 
6.0%
6 6
 
6.0%
8 6
 
6.0%
7 5
 
5.0%
2 4
 
4.0%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

geumjeonggu
Text

MISSING 

Distinct32
Distinct (%)91.4%
Missing40
Missing (%)53.3%
Memory size732.0 B
2024-04-16T21:23:59.276356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9428571
Min length2

Characters and Unicode

Total characters138
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)82.9%

Sample

1st row4930
2nd row무료
3rd row6850
4th row1980
5th row6700
ValueCountFrequency (%)
3450 2
 
5.7%
무료 2
 
5.7%
1440 2
 
5.7%
4930 1
 
2.9%
16630 1
 
2.9%
4020 1
 
2.9%
5860 1
 
2.9%
5880 1
 
2.9%
1540 1
 
2.9%
5730 1
 
2.9%
Other values (22) 22
62.9%
2024-04-16T21:23:59.570879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38
27.5%
1 23
16.7%
4 15
 
10.9%
5 12
 
8.7%
3 11
 
8.0%
6 11
 
8.0%
7 7
 
5.1%
2 7
 
5.1%
8 7
 
5.1%
9 3
 
2.2%
Other values (2) 4
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 134
97.1%
Other Letter 4
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38
28.4%
1 23
17.2%
4 15
 
11.2%
5 12
 
9.0%
3 11
 
8.2%
6 11
 
8.2%
7 7
 
5.2%
2 7
 
5.2%
8 7
 
5.2%
9 3
 
2.2%
Other Letter
ValueCountFrequency (%)
무 2
50.0%
료 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 134
97.1%
Hangul 4
 
2.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 38
28.4%
1 23
17.2%
4 15
 
11.2%
5 12
 
9.0%
3 11
 
8.2%
6 11
 
8.2%
7 7
 
5.2%
2 7
 
5.2%
8 7
 
5.2%
9 3
 
2.2%
Hangul
ValueCountFrequency (%)
무 2
50.0%
료 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 134
97.1%
Hangul 4
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38
28.4%
1 23
17.2%
4 15
 
11.2%
5 12
 
9.0%
3 11
 
8.2%
6 11
 
8.2%
7 7
 
5.2%
2 7
 
5.2%
8 7
 
5.2%
9 3
 
2.2%
Hangul
ValueCountFrequency (%)
무 2
50.0%
료 2
50.0%

gangseogu
Text

MISSING 

Distinct32
Distinct (%)91.4%
Missing40
Missing (%)53.3%
Memory size732.0 B
2024-04-16T21:23:59.757126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length4
Mean length4.4285714
Min length2

Characters and Unicode

Total characters155
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)82.9%

Sample

1st row4930
2nd row5640
3rd row무료
4th row4750
5th row1980
ValueCountFrequency (%)
무료 2
 
5.6%
1440 2
 
5.6%
3450 2
 
5.6%
930 1
 
2.8%
9310 1
 
2.8%
10750 1
 
2.8%
16630 1
 
2.8%
14290(타지역민 1
 
2.8%
5030 1
 
2.8%
880 1
 
2.8%
Other values (23) 23
63.9%
2024-04-16T21:24:00.100276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41
26.5%
1 20
12.9%
5 16
 
10.3%
4 15
 
9.7%
3 10
 
6.5%
6 9
 
5.8%
7 8
 
5.2%
9 7
 
4.5%
8 6
 
3.9%
2 6
 
3.9%
Other values (12) 17
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138
89.0%
Other Letter 12
 
7.7%
Close Punctuation 2
 
1.3%
Open Punctuation 2
 
1.3%
Space Separator 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41
29.7%
1 20
14.5%
5 16
 
11.6%
4 15
 
10.9%
3 10
 
7.2%
6 9
 
6.5%
7 8
 
5.8%
9 7
 
5.1%
8 6
 
4.3%
2 6
 
4.3%
Other Letter
ValueCountFrequency (%)
민 2
16.7%
무 2
16.7%
료 2
16.7%
강 1
8.3%
서 1
8.3%
구 1
8.3%
타 1
8.3%
지 1
8.3%
역 1
8.3%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 143
92.3%
Hangul 12
 
7.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41
28.7%
1 20
14.0%
5 16
 
11.2%
4 15
 
10.5%
3 10
 
7.0%
6 9
 
6.3%
7 8
 
5.6%
9 7
 
4.9%
8 6
 
4.2%
2 6
 
4.2%
Other values (3) 5
 
3.5%
Hangul
ValueCountFrequency (%)
민 2
16.7%
무 2
16.7%
료 2
16.7%
강 1
8.3%
서 1
8.3%
구 1
8.3%
타 1
8.3%
지 1
8.3%
역 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 143
92.3%
Hangul 12
 
7.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41
28.7%
1 20
14.0%
5 16
 
11.2%
4 15
 
10.5%
3 10
 
7.0%
6 9
 
6.3%
7 8
 
5.6%
9 7
 
4.9%
8 6
 
4.2%
2 6
 
4.2%
Other values (3) 5
 
3.5%
Hangul
ValueCountFrequency (%)
민 2
16.7%
무 2
16.7%
료 2
16.7%
강 1
8.3%
서 1
8.3%
구 1
8.3%
타 1
8.3%
지 1
8.3%
역 1
8.3%

yeonjegu
Text

MISSING 

Distinct21
Distinct (%)80.8%
Missing49
Missing (%)65.3%
Memory size732.0 B
2024-04-16T21:24:00.257915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.6538462
Min length2

Characters and Unicode

Total characters95
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)69.2%

Sample

1st row4230
2nd row무료
3rd row6850
4th row1930
5th row6700
ValueCountFrequency (%)
무료 4
 
15.4%
1440 2
 
7.7%
3450 2
 
7.7%
5750 1
 
3.8%
4020 1
 
3.8%
710 1
 
3.8%
1040 1
 
3.8%
3590 1
 
3.8%
950 1
 
3.8%
930 1
 
3.8%
Other values (11) 11
42.3%
2024-04-16T21:24:00.529500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27
28.4%
4 11
11.6%
5 11
11.6%
3 8
 
8.4%
1 8
 
8.4%
8 6
 
6.3%
9 5
 
5.3%
무 4
 
4.2%
료 4
 
4.2%
2 4
 
4.2%
Other values (2) 7
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 87
91.6%
Other Letter 8
 
8.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
31.0%
4 11
12.6%
5 11
12.6%
3 8
 
9.2%
1 8
 
9.2%
8 6
 
6.9%
9 5
 
5.7%
2 4
 
4.6%
6 4
 
4.6%
7 3
 
3.4%
Other Letter
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 87
91.6%
Hangul 8
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27
31.0%
4 11
12.6%
5 11
12.6%
3 8
 
9.2%
1 8
 
9.2%
8 6
 
6.9%
9 5
 
5.7%
2 4
 
4.6%
6 4
 
4.6%
7 3
 
3.4%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87
91.6%
Hangul 8
 
8.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27
31.0%
4 11
12.6%
5 11
12.6%
3 8
 
9.2%
1 8
 
9.2%
8 6
 
6.9%
9 5
 
5.7%
2 4
 
4.6%
6 4
 
4.6%
7 3
 
3.4%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

suyeonggu
Text

MISSING 

Distinct26
Distinct (%)83.9%
Missing44
Missing (%)58.7%
Memory size732.0 B
2024-04-16T21:24:00.683082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.7096774
Min length2

Characters and Unicode

Total characters115
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)74.2%

Sample

1st row4930
2nd row무료
3rd row4750
4th row1980
5th row29110
ValueCountFrequency (%)
무료 4
 
12.9%
3450 2
 
6.5%
1440 2
 
6.5%
5880 1
 
3.2%
4930 1
 
3.2%
710 1
 
3.2%
1040 1
 
3.2%
6210 1
 
3.2%
950 1
 
3.2%
930 1
 
3.2%
Other values (16) 16
51.6%
2024-04-16T21:24:00.949943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31
27.0%
1 15
13.0%
4 11
 
9.6%
6 10
 
8.7%
5 9
 
7.8%
3 8
 
7.0%
9 7
 
6.1%
8 6
 
5.2%
7 5
 
4.3%
2 5
 
4.3%
Other values (2) 8
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 107
93.0%
Other Letter 8
 
7.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
29.0%
1 15
14.0%
4 11
 
10.3%
6 10
 
9.3%
5 9
 
8.4%
3 8
 
7.5%
9 7
 
6.5%
8 6
 
5.6%
7 5
 
4.7%
2 5
 
4.7%
Other Letter
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 107
93.0%
Hangul 8
 
7.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31
29.0%
1 15
14.0%
4 11
 
10.3%
6 10
 
9.3%
5 9
 
8.4%
3 8
 
7.5%
9 7
 
6.5%
8 6
 
5.6%
7 5
 
4.7%
2 5
 
4.7%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 107
93.0%
Hangul 8
 
7.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31
29.0%
1 15
14.0%
4 11
 
10.3%
6 10
 
9.3%
5 9
 
8.4%
3 8
 
7.5%
9 7
 
6.5%
8 6
 
5.6%
7 5
 
4.7%
2 5
 
4.7%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

sasanggu
Text

MISSING 

Distinct30
Distinct (%)85.7%
Missing40
Missing (%)53.3%
Memory size732.0 B
2024-04-16T21:24:01.143638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9428571
Min length2

Characters and Unicode

Total characters138
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)71.4%

Sample

1st row4930
2nd row5640
3rd row무료
4th row4750
5th row1980
ValueCountFrequency (%)
710 2
 
5.7%
1440 2
 
5.7%
무료 2
 
5.7%
3450 2
 
5.7%
6500 2
 
5.7%
930 1
 
2.9%
5880 1
 
2.9%
10750 1
 
2.9%
16630 1
 
2.9%
880 1
 
2.9%
Other values (20) 20
57.1%
2024-04-16T21:24:01.424493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41
29.7%
1 14
 
10.1%
5 13
 
9.4%
4 13
 
9.4%
3 13
 
9.4%
6 11
 
8.0%
8 9
 
6.5%
9 8
 
5.8%
7 6
 
4.3%
2 6
 
4.3%
Other values (2) 4
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 134
97.1%
Other Letter 4
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41
30.6%
1 14
 
10.4%
5 13
 
9.7%
4 13
 
9.7%
3 13
 
9.7%
6 11
 
8.2%
8 9
 
6.7%
9 8
 
6.0%
7 6
 
4.5%
2 6
 
4.5%
Other Letter
ValueCountFrequency (%)
무 2
50.0%
료 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 134
97.1%
Hangul 4
 
2.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41
30.6%
1 14
 
10.4%
5 13
 
9.7%
4 13
 
9.7%
3 13
 
9.7%
6 11
 
8.2%
8 9
 
6.7%
9 8
 
6.0%
7 6
 
4.5%
2 6
 
4.5%
Hangul
ValueCountFrequency (%)
무 2
50.0%
료 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 134
97.1%
Hangul 4
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41
30.6%
1 14
 
10.4%
5 13
 
9.7%
4 13
 
9.7%
3 13
 
9.7%
6 11
 
8.2%
8 9
 
6.7%
9 8
 
6.0%
7 6
 
4.5%
2 6
 
4.5%
Hangul
ValueCountFrequency (%)
무 2
50.0%
료 2
50.0%

gijanggun
Text

MISSING 

Distinct28
Distinct (%)80.0%
Missing40
Missing (%)53.3%
Memory size732.0 B
2024-04-16T21:24:01.861706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.8
Min length2

Characters and Unicode

Total characters133
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)65.7%

Sample

1st row4930
2nd row무료
3rd row4770
4th row1980
5th row6700
ValueCountFrequency (%)
무료 4
 
11.4%
1790 2
 
5.7%
3450 2
 
5.7%
1440 2
 
5.7%
2540 2
 
5.7%
12320 1
 
2.9%
4930 1
 
2.9%
5880 1
 
2.9%
1040 1
 
2.9%
6190 1
 
2.9%
Other values (18) 18
51.4%
2024-04-16T21:24:02.139539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 36
27.1%
4 14
 
10.5%
1 14
 
10.5%
5 11
 
8.3%
3 10
 
7.5%
6 10
 
7.5%
7 8
 
6.0%
9 8
 
6.0%
2 7
 
5.3%
8 7
 
5.3%
Other values (2) 8
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125
94.0%
Other Letter 8
 
6.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 36
28.8%
4 14
 
11.2%
1 14
 
11.2%
5 11
 
8.8%
3 10
 
8.0%
6 10
 
8.0%
7 8
 
6.4%
9 8
 
6.4%
2 7
 
5.6%
8 7
 
5.6%
Other Letter
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 125
94.0%
Hangul 8
 
6.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 36
28.8%
4 14
 
11.2%
1 14
 
11.2%
5 11
 
8.8%
3 10
 
8.0%
6 10
 
8.0%
7 8
 
6.4%
9 8
 
6.4%
2 7
 
5.6%
8 7
 
5.6%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125
94.0%
Hangul 8
 
6.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 36
28.8%
4 14
 
11.2%
1 14
 
11.2%
5 11
 
8.8%
3 10
 
8.0%
6 10
 
8.0%
7 8
 
6.4%
9 8
 
6.4%
2 7
 
5.6%
8 7
 
5.6%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

data_day
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2021-01-05
75 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-01-05
2nd row2021-01-05
3rd row2021-01-05
4th row2021-01-05
5th row2021-01-05

Common Values

ValueCountFrequency (%)
2021-01-05 75
100.0%

Length

2024-04-16T21:24:02.272765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:24:02.364148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-05 75
100.0%

apr_at
Boolean

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size207.0 B
False
75 
ValueCountFrequency (%)
False 75
100.0%
2024-04-16T21:24:02.439123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

gugun
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

last_load_dttm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2021-02-01 05:52:03
75 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-02-01 05:52:03
2nd row2021-02-01 05:52:03
3rd row2021-02-01 05:52:03
4th row2021-02-01 05:52:03
5th row2021-02-01 05:52:03

Common Values

ValueCountFrequency (%)
2021-02-01 05:52:03 75
100.0%

Length

2024-04-16T21:24:02.542967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:24:02.637651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-01 75
50.0%
05:52:03 75
50.0%

Sample

skeytest_kindtest_nametest_pricejungguseogudongguyeongdogujingudonglaegunamgubugguhaeundaegusahagugeumjeonggugangseoguyeonjegusuyeonggusasanggugijanggundata_dayapr_atgugunlast_load_dttm
0125신장기능검사(3종) 요소질소(BUN), 크레아티닌(Creatinine), 요산(Uric Acid)49304930<NA><NA>49304930<NA>49304930<NA>493049304930<NA>4930493049302021-01-05N<NA>2021-02-01 05:52:03
1126신장기능검사(7종) 요소질소(BUN), 크레아티닌(Creatinine), 요산(Uric Acid), 뇨스틱4종(뇨당,뇨단백,pH,잠혈)5640<NA><NA><NA>56405640<NA><NA><NA><NA><NA><NA>5640<NA><NA>5640<NA>2021-01-05N<NA>2021-02-01 05:52:03
2127암검사간암(AFT)4230<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4230<NA><NA><NA>2021-01-05N<NA>2021-02-01 05:52:03
3128암검사간암(AFP)4230<NA><NA><NA><NA><NA>7790(정밀)<NA>42304230<NA><NA><NA><NA><NA><NA><NA>2021-01-05N<NA>2021-02-01 05:52:03
4129암검사(정밀)대장암(CEA)11300<NA><NA><NA><NA><NA>11300(정밀)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05N<NA>2021-02-01 05:52:03
5130에이즈(AIDS)에이즈(AIDS)무료무료무료무료무료무료무료무료무료무료무료무료무료무료무료무료무료2021-01-05N<NA>2021-02-01 05:52:03
6131전혈구검사(CBC)(5종) 혈색소, 헤마토크리트, 적혈구수, 백혈구수,혈소판수4750<NA><NA>47504750<NA>47504750475046504750<NA>4750<NA>4750475047702021-01-05N<NA>2021-02-01 05:52:03
7132전혈구검사(CBC)(6종) 혈색소,헤마토크리트,적혈구수,백혈구수,혈소판수,백혈구백분율6850<NA><NA><NA><NA><NA><NA>6850<NA><NA><NA>6850<NA>6850<NA><NA><NA>2021-01-05N<NA>2021-02-01 05:52:03
8133전혈구검사(CBC)(7종) 혈색소,헤마토크리트,적혈구수,백혈구수,혈소판수,MCV,MCHC6850<NA>6850<NA><NA>6850<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05N<NA>2021-02-01 05:52:03
9134통풍(요산)검사요산(Uric Acid)1980198019801980198019801980198019801980<NA>1980198019301980198019802021-01-05N<NA>2021-02-01 05:52:03
skeytest_kindtest_nametest_pricejungguseogudongguyeongdogujingudonglaegunamgubugguhaeundaegusahagugeumjeonggugangseoguyeonjegusuyeonggusasanggugijanggundata_dayapr_atgugunlast_load_dttm
65190소변검사뇨침사현미경검사1040<NA><NA>10401040<NA><NA><NA><NA><NA><NA>1040104010401040<NA>10402021-01-05N<NA>2021-02-01 05:52:03
66191소변검사소변(정밀)17501750<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05N<NA>2021-02-01 05:52:03
67192소변검사뇨4종 검사710<NA><NA>710<NA>710<NA>710<NA><NA><NA><NA><NA><NA><NA>710<NA>2021-01-05N<NA>2021-02-01 05:52:03
68193소변검사뇨침사현미경검사1040<NA><NA><NA><NA><NA><NA>1040<NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05N<NA>2021-02-01 05:52:03
69194소변검사(4종) pH, 요단백, 요당, 잠혈710710<NA>710710710710710<NA>710710<NA>710710710710<NA>2021-01-05N<NA>2021-02-01 05:52:03
70195소변검사(10종) Ph, 백혈구(뇨), 비중(뇨), 빌리루빈(뇨),아질산염(뇨), 요단백, 요당, 유로빌리노젠(뇨), 적혈구(뇨), 케톤체(뇨)1800<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>180017902021-01-05N<NA>2021-02-01 05:52:03
71196소변검사뇨Gram stain2550<NA><NA>2550<NA><NA><NA>2550<NA><NA><NA>25502550<NA><NA><NA>25402021-01-05N<NA>2021-02-01 05:52:03
72197신장기능검사크레아티닌(Creatinine)154015401540154015401540154015401540<NA><NA>15401540<NA><NA><NA><NA>2021-01-05N<NA>2021-02-01 05:52:03
73198신장기능검사요소질소(BUN)141014101410141014101410141014101410<NA><NA>14101410<NA><NA><NA><NA>2021-01-05N<NA>2021-02-01 05:52:03
74199신장기능검사(2종) 요소질소(BUN), 크레아티닌(Creatinine)2950<NA>29502950295029502950295029502950<NA><NA>295029502950295029502021-01-05N<NA>2021-02-01 05:52:03