Overview

Dataset statistics

Number of variables24
Number of observations76
Missing cells163
Missing cells (%)8.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.6 KiB
Average record size in memory196.7 B

Variable types

Numeric1
Categorical16
Text5
Unsupported2

Alerts

data_day has constant value ""Constant
last_load_dttm has constant value ""Constant
test_price has 1 (1.3%) missing valuesMissing
namgu has 3 (3.9%) missing valuesMissing
buggu has 3 (3.9%) missing valuesMissing
geumjeonggu has 4 (5.3%) missing valuesMissing
apr_at has 76 (100.0%) missing valuesMissing
gugun has 76 (100.0%) missing valuesMissing
skey has unique valuesUnique
apr_at is an unsupported type, check if it needs cleaning or further analysisUnsupported
gugun is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 12:24:10.351441
Analysis finished2024-04-16 12:24:10.681415
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.5
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-16T21:24:10.747375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.75
Q119.75
median38.5
Q357.25
95-th percentile72.25
Maximum76
Range75
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation22.083176
Coefficient of variation (CV)0.57358899
Kurtosis-1.2
Mean38.5
Median Absolute Deviation (MAD)19
Skewness0
Sum2926
Variance487.66667
MonotonicityStrictly increasing
2024-04-16T21:24:11.127351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
50 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
49 1
 
1.3%
Other values (66) 66
86.8%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%

test_kind
Categorical

Distinct20
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
간기능검사
15 
성병검사
12 
소변검사
8 
고지혈증검사
7 
신장기능검사
5 
Other values (15)
29 

Length

Max length12
Median length11
Mean length7.0921053
Min length5

Unique

Unique7 ?
Unique (%)9.2%

Sample

1st row 신장기능검사
2nd row 신장기능검사
3rd row 암검사
4th row 암검사
5th row 암검사 (정밀)

Common Values

ValueCountFrequency (%)
간기능검사 15
19.7%
성병검사 12
15.8%
소변검사 8
10.5%
고지혈증검사 7
9.2%
신장기능검사 5
 
6.6%
간염검사 5
 
6.6%
기타검사 4
 
5.3%
전혈구검사(CBC) 3
 
3.9%
빈혈검사 2
 
2.6%
기생충검사 2
 
2.6%
Other values (10) 13
17.1%

Length

2024-04-16T21:24:11.283205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
간기능검사 15
19.5%
성병검사 12
15.6%
소변검사 8
10.4%
고지혈증검사 7
9.1%
신장기능검사 5
 
6.5%
간염검사 5
 
6.5%
기타검사 4
 
5.2%
암검사 3
 
3.9%
전혈구검사(cbc 3
 
3.9%
빈혈검사 2
 
2.6%
Other values (10) 13
16.9%

test_name
Text

Distinct75
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-16T21:24:11.512135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length69
Mean length20.868421
Min length5

Characters and Unicode

Total characters1586
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

Unique74 ?
Unique (%)97.4%

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 row 간암(AFT)
4th row 간암(AFP)
5th row 대장암(CEA)
ValueCountFrequency (%)
ast(sgot 8
 
4.7%
alt(sgpt 8
 
4.7%
r-gtp(지방간 6
 
3.5%
포함 6
 
3.5%
중성지방(tg 5
 
2.9%
7종 4
 
2.3%
요소질소(bun 4
 
2.3%
총콜레스테롤 4
 
2.3%
알부민 4
 
2.3%
크레아티닌(creatinine 4
 
2.3%
Other values (91) 118
69.0%
2024-04-16T21:24:11.898334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
246
 
15.5%
) 98
 
6.2%
( 98
 
6.2%
, 90
 
5.7%
T 51
 
3.2%
A 34
 
2.1%
G 31
 
2.0%
P 28
 
1.8%
S 26
 
1.6%
L 24
 
1.5%
Other values (170) 860
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 624
39.3%
Uppercase Letter 273
17.2%
Space Separator 246
 
15.5%
Lowercase Letter 107
 
6.7%
Close Punctuation 98
 
6.2%
Open Punctuation 98
 
6.2%
Other Punctuation 93
 
5.9%
Decimal Number 26
 
1.6%
Dash Punctuation 21
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
혈 22
 
3.5%
종 22
 
3.5%
스 21
 
3.4%
소 20
 
3.2%
리 19
 
3.0%
레 18
 
2.9%
뇨 17
 
2.7%
총 15
 
2.4%
간 14
 
2.2%
백 13
 
2.1%
Other values (117) 443
71.0%
Uppercase Letter
ValueCountFrequency (%)
T 51
18.7%
A 34
12.5%
G 31
11.4%
P 28
10.3%
S 26
9.5%
L 24
8.8%
H 12
 
4.4%
D 10
 
3.7%
U 10
 
3.7%
C 10
 
3.7%
Other values (10) 37
13.6%
Lowercase Letter
ValueCountFrequency (%)
i 20
18.7%
r 18
16.8%
e 13
12.1%
n 12
11.2%
t 7
 
6.5%
c 7
 
6.5%
a 6
 
5.6%
l 4
 
3.7%
b 3
 
2.8%
o 3
 
2.8%
Other values (7) 14
13.1%
Decimal Number
ValueCountFrequency (%)
7 4
15.4%
1 4
15.4%
4 4
15.4%
3 3
11.5%
2 3
11.5%
5 3
11.5%
0 2
7.7%
6 2
7.7%
8 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 90
96.8%
/ 2
 
2.2%
. 1
 
1.1%
Space Separator
ValueCountFrequency (%)
246
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 624
39.3%
Common 582
36.7%
Latin 380
24.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
혈 22
 
3.5%
종 22
 
3.5%
스 21
 
3.4%
소 20
 
3.2%
리 19
 
3.0%
레 18
 
2.9%
뇨 17
 
2.7%
총 15
 
2.4%
간 14
 
2.2%
백 13
 
2.1%
Other values (117) 443
71.0%
Latin
ValueCountFrequency (%)
T 51
13.4%
A 34
 
8.9%
G 31
 
8.2%
P 28
 
7.4%
S 26
 
6.8%
L 24
 
6.3%
i 20
 
5.3%
r 18
 
4.7%
e 13
 
3.4%
n 12
 
3.2%
Other values (27) 123
32.4%
Common
ValueCountFrequency (%)
246
42.3%
) 98
 
16.8%
( 98
 
16.8%
, 90
 
15.5%
- 21
 
3.6%
7 4
 
0.7%
1 4
 
0.7%
4 4
 
0.7%
3 3
 
0.5%
2 3
 
0.5%
Other values (6) 11
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 962
60.7%
Hangul 624
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
246
25.6%
) 98
 
10.2%
( 98
 
10.2%
, 90
 
9.4%
T 51
 
5.3%
A 34
 
3.5%
G 31
 
3.2%
P 28
 
2.9%
S 26
 
2.7%
L 24
 
2.5%
Other values (43) 236
24.5%
Hangul
ValueCountFrequency (%)
혈 22
 
3.5%
종 22
 
3.5%
스 21
 
3.4%
소 20
 
3.2%
리 19
 
3.0%
레 18
 
2.9%
뇨 17
 
2.7%
총 15
 
2.4%
간 14
 
2.2%
백 13
 
2.1%
Other values (117) 443
71.0%

test_price
Text

MISSING 

Distinct61
Distinct (%)81.3%
Missing1
Missing (%)1.3%
Memory size740.0 B
2024-04-16T21:24:12.107252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.9066667
Min length3

Characters and Unicode

Total characters368
Distinct characters14
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

Unique53 ?
Unique (%)70.7%

Sample

1st row4,640
2nd row5,410
3rd row4,010
4th row4,010
5th row12,480
ValueCountFrequency (%)
무료 6
 
8.0%
770 3
 
4.0%
3,220 3
 
4.0%
1,380 2
 
2.7%
4,650 2
 
2.7%
1,440 2
 
2.7%
1,740 2
 
2.7%
4,010 2
 
2.7%
16,500 1
 
1.3%
5,730 1
 
1.3%
Other values (51) 51
68.0%
2024-04-16T21:24:12.432970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 84
22.8%
, 62
16.8%
1 43
11.7%
4 29
 
7.9%
3 26
 
7.1%
7 22
 
6.0%
2 20
 
5.4%
6 18
 
4.9%
5 17
 
4.6%
9 13
 
3.5%
Other values (4) 34
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 282
76.6%
Other Punctuation 62
 
16.8%
Space Separator 12
 
3.3%
Other Letter 12
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 84
29.8%
1 43
15.2%
4 29
 
10.3%
3 26
 
9.2%
7 22
 
7.8%
2 20
 
7.1%
6 18
 
6.4%
5 17
 
6.0%
9 13
 
4.6%
8 10
 
3.5%
Other Letter
ValueCountFrequency (%)
무 6
50.0%
료 6
50.0%
Other Punctuation
ValueCountFrequency (%)
, 62
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 356
96.7%
Hangul 12
 
3.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 84
23.6%
, 62
17.4%
1 43
12.1%
4 29
 
8.1%
3 26
 
7.3%
7 22
 
6.2%
2 20
 
5.6%
6 18
 
5.1%
5 17
 
4.8%
9 13
 
3.7%
Other values (2) 22
 
6.2%
Hangul
ValueCountFrequency (%)
무 6
50.0%
료 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 356
96.7%
Hangul 12
 
3.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 84
23.6%
, 62
17.4%
1 43
12.1%
4 29
 
8.1%
3 26
 
7.3%
7 22
 
6.2%
2 20
 
5.6%
6 18
 
5.1%
5 17
 
4.8%
9 13
 
3.7%
Other values (2) 22
 
6.2%
Hangul
ValueCountFrequency (%)
무 6
50.0%
료 6
50.0%

junggu
Categorical

Distinct30
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Memory size740.0 B
-
42 
무료
 
4
<NA>
 
3
14,050(정밀)
 
1
1,780
 
1
Other values (25)
25 

Length

Max length10
Median length1
Mean length2.7368421
Min length1

Unique

Unique27 ?
Unique (%)35.5%

Sample

1st row4,640
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 42
55.3%
무료 4
 
5.3%
<NA> 3
 
3.9%
14,050(정밀) 1
 
1.3%
1,780 1
 
1.3%
30,190 1
 
1.3%
6,790 1
 
1.3%
6,240 1
 
1.3%
1,240 1
 
1.3%
1,480 1
 
1.3%
Other values (20) 20
26.3%

Length

2024-04-16T21:24:12.557982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
42
55.3%
무료 4
 
5.3%
na 3
 
3.9%
5,730 1
 
1.3%
4,640 1
 
1.3%
3,380 1
 
1.3%
1,440 1
 
1.3%
770 1
 
1.3%
1,740 1
 
1.3%
6,030 1
 
1.3%
Other values (20) 20
26.3%

seogu
Categorical

Distinct34
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
-
36 
무료
5 
<NA>
 
3
1,380
 
2
5,670
 
1
Other values (29)
29 

Length

Max length6
Median length5
Mean length2.9473684
Min length1

Unique

Unique30 ?
Unique (%)39.5%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 36
47.4%
무료 5
 
6.6%
<NA> 3
 
3.9%
1,380 2
 
2.6%
5,670 1
 
1.3%
1,780 1
 
1.3%
6,790 1
 
1.3%
6,240 1
 
1.3%
1,180 1
 
1.3%
5,570 1
 
1.3%
Other values (24) 24
31.6%

Length

2024-04-16T21:24:12.662807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
36
47.4%
무료 5
 
6.6%
na 3
 
3.9%
1,380 2
 
2.6%
1,420 1
 
1.3%
1,440 1
 
1.3%
770 1
 
1.3%
6,030 1
 
1.3%
3,220 1
 
1.3%
14,160 1
 
1.3%
Other values (24) 24
31.6%

donggu
Categorical

Distinct29
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size740.0 B
-
39 
무료
5 
<NA>
 
3
4650
 
2
770
 
2
Other values (24)
25 

Length

Max length6
Median length1
Mean length2.6052632
Min length1

Unique

Unique23 ?
Unique (%)30.3%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 39
51.3%
무료 5
 
6.6%
<NA> 3
 
3.9%
4650 2
 
2.6%
770 2
 
2.6%
3220 2
 
2.6%
13,190 1
 
1.3%
1,460 1
 
1.3%
3,870 1
 
1.3%
5,570 1
 
1.3%
Other values (19) 19
25.0%

Length

2024-04-16T21:24:12.774970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
39
51.3%
무료 5
 
6.6%
na 3
 
3.9%
4650 2
 
2.6%
770 2
 
2.6%
3220 2
 
2.6%
6030 1
 
1.3%
760 1
 
1.3%
930 1
 
1.3%
1380 1
 
1.3%
Other values (19) 19
25.0%

yeongdogu
Categorical

Distinct36
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size740.0 B
-
34 
무료
4 
<NA>
 
3
4,650
 
2
1,380
 
2
Other values (31)
31 

Length

Max length12
Median length6
Mean length3.1578947
Min length1

Unique

Unique31 ?
Unique (%)40.8%

Sample

1st row4,640
2nd row5,410
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 34
44.7%
무료 4
 
5.3%
<NA> 3
 
3.9%
4,650 2
 
2.6%
1,380 2
 
2.6%
3,370 1
 
1.3%
14,050(정밀) 1
 
1.3%
5,410 1
 
1.3%
14,160 1
 
1.3%
10,490 1
 
1.3%
Other values (26) 26
34.2%

Length

2024-04-16T21:24:12.898628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
34
44.7%
무료 4
 
5.3%
na 3
 
3.9%
4,650 2
 
2.6%
1,380 2
 
2.6%
7,410 1
 
1.3%
1,440 1
 
1.3%
770 1
 
1.3%
970 1
 
1.3%
3,380 1
 
1.3%
Other values (26) 26
34.2%

jingu
Categorical

Distinct35
Distinct (%)46.1%
Missing0
Missing (%)0.0%
Memory size740.0 B
-
36 
무료
4 
<NA>
 
3
1,380
 
2
1,670
 
1
Other values (30)
30 

Length

Max length6
Median length5
Mean length2.9342105
Min length1

Unique

Unique31 ?
Unique (%)40.8%

Sample

1st row4,640
2nd row5,410
3rd row-
4th row4,010
5th row-

Common Values

ValueCountFrequency (%)
- 36
47.4%
무료 4
 
5.3%
<NA> 3
 
3.9%
1,380 2
 
2.6%
1,670 1
 
1.3%
14,160 1
 
1.3%
5,410 1
 
1.3%
3,370 1
 
1.3%
3,080 1
 
1.3%
1,700 1
 
1.3%
Other values (25) 25
32.9%

Length

2024-04-16T21:24:13.040209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
36
47.4%
무료 4
 
5.3%
na 3
 
3.9%
1,380 2
 
2.6%
6,030 1
 
1.3%
770 1
 
1.3%
970 1
 
1.3%
4,600 1
 
1.3%
3,870 1
 
1.3%
930 1
 
1.3%
Other values (25) 25
32.9%

donglaegu
Categorical

Distinct31
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Memory size740.0 B
-
40 
무료
5 
<NA>
 
3
1,460
 
1
12,480(정밀)
 
1
Other values (26)
26 

Length

Max length10
Median length1
Mean length2.8552632
Min length1

Unique

Unique28 ?
Unique (%)36.8%

Sample

1st row-
2nd row-
3rd row-
4th row8,840(정밀)
5th row12,480(정밀)

Common Values

ValueCountFrequency (%)
- 40
52.6%
무료 5
 
6.6%
<NA> 3
 
3.9%
1,460 1
 
1.3%
12,480(정밀) 1
 
1.3%
4,650 1
 
1.3%
1,780 1
 
1.3%
33,210 1
 
1.3%
6,790 1
 
1.3%
6,240 1
 
1.3%
Other values (21) 21
27.6%

Length

2024-04-16T21:24:13.160725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
40
52.6%
무료 5
 
6.6%
na 3
 
3.9%
3,870 1
 
1.3%
3,380 1
 
1.3%
1,440 1
 
1.3%
1,420 1
 
1.3%
770 1
 
1.3%
6,030 1
 
1.3%
3,220 1
 
1.3%
Other values (21) 21
27.6%

namgu
Text

MISSING 

Distinct38
Distinct (%)52.1%
Missing3
Missing (%)3.9%
Memory size740.0 B
2024-04-16T21:24:13.288922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.8356164
Min length1

Characters and Unicode

Total characters207
Distinct characters15
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

Unique33 ?
Unique (%)45.2%

Sample

1st row4,640
2nd row-
3rd row-
4th row-
5th row-
ValueCountFrequency (%)
30
41.1%
무료 4
 
5.5%
3220 2
 
2.7%
4650 2
 
2.7%
770 2
 
2.7%
930 1
 
1.4%
5730 1
 
1.4%
1440 1
 
1.4%
7420 1
 
1.4%
6030 1
 
1.4%
Other values (28) 28
38.4%
2024-04-16T21:24:13.588195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 45
21.7%
- 30
14.5%
1 19
9.2%
4 16
 
7.7%
3 14
 
6.8%
6 14
 
6.8%
7 14
 
6.8%
2 10
 
4.8%
5 9
 
4.3%
8
 
3.9%
Other values (5) 28
13.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 156
75.4%
Dash Punctuation 30
 
14.5%
Space Separator 8
 
3.9%
Other Letter 8
 
3.9%
Other Punctuation 5
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45
28.8%
1 19
12.2%
4 16
 
10.3%
3 14
 
9.0%
6 14
 
9.0%
7 14
 
9.0%
2 10
 
6.4%
5 9
 
5.8%
8 8
 
5.1%
9 7
 
4.5%
Other Letter
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 199
96.1%
Hangul 8
 
3.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 45
22.6%
- 30
15.1%
1 19
9.5%
4 16
 
8.0%
3 14
 
7.0%
6 14
 
7.0%
7 14
 
7.0%
2 10
 
5.0%
5 9
 
4.5%
8
 
4.0%
Other values (3) 20
10.1%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 199
96.1%
Hangul 8
 
3.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 45
22.6%
- 30
15.1%
1 19
9.5%
4 16
 
8.0%
3 14
 
7.0%
6 14
 
7.0%
7 14
 
7.0%
2 10
 
5.0%
5 9
 
4.5%
8
 
4.0%
Other values (3) 20
10.1%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

buggu
Text

MISSING 

Distinct41
Distinct (%)56.2%
Missing3
Missing (%)3.9%
Memory size740.0 B
2024-04-16T21:24:13.760980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.9041096
Min length1

Characters and Unicode

Total characters212
Distinct characters15
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

Unique37 ?
Unique (%)50.7%

Sample

1st row4640
2nd row-
3rd row-
4th row4010
5th row-
ValueCountFrequency (%)
28
38.4%
무료 4
 
5.5%
760 2
 
2.7%
1380 2
 
2.7%
16500 1
 
1.4%
1440 1
 
1.4%
4640 1
 
1.4%
920 1
 
1.4%
1460 1
 
1.4%
3380 1
 
1.4%
Other values (31) 31
42.5%
2024-04-16T21:24:14.051271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 48
22.6%
- 28
13.2%
1 21
9.9%
3 16
 
7.5%
4 16
 
7.5%
6 14
 
6.6%
7 13
 
6.1%
2 11
 
5.2%
8 10
 
4.7%
5 9
 
4.2%
Other values (5) 26
12.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 163
76.9%
Dash Punctuation 28
 
13.2%
Space Separator 8
 
3.8%
Other Letter 8
 
3.8%
Other Punctuation 5
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48
29.4%
1 21
12.9%
3 16
 
9.8%
4 16
 
9.8%
6 14
 
8.6%
7 13
 
8.0%
2 11
 
6.7%
8 10
 
6.1%
5 9
 
5.5%
9 5
 
3.1%
Other Letter
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
96.2%
Hangul 8
 
3.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 48
23.5%
- 28
13.7%
1 21
10.3%
3 16
 
7.8%
4 16
 
7.8%
6 14
 
6.9%
7 13
 
6.4%
2 11
 
5.4%
8 10
 
4.9%
5 9
 
4.4%
Other values (3) 18
 
8.8%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
96.2%
Hangul 8
 
3.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 48
23.5%
- 28
13.7%
1 21
10.3%
3 16
 
7.8%
4 16
 
7.8%
6 14
 
6.9%
7 13
 
6.4%
2 11
 
5.4%
8 10
 
4.9%
5 9
 
4.4%
Other values (3) 18
 
8.8%
Hangul
ValueCountFrequency (%)
무 4
50.0%
료 4
50.0%

haeundaegu
Categorical

Distinct29
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size740.0 B
-
40 
무료
8 
<NA>
 
2
5570
 
1
4650
 
1
Other values (24)
24 

Length

Max length5
Median length1
Mean length2.4210526
Min length1

Unique

Unique26 ?
Unique (%)34.2%

Sample

1st row-
2nd row-
3rd row-
4th row4010
5th row-

Common Values

ValueCountFrequency (%)
- 40
52.6%
무료 8
 
10.5%
<NA> 2
 
2.6%
5570 1
 
1.3%
4650 1
 
1.3%
1780 1
 
1.3%
6790 1
 
1.3%
6240 1
 
1.3%
1180 1
 
1.3%
1670 1
 
1.3%
Other values (19) 19
25.0%

Length

2024-04-16T21:24:14.189735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
40
52.6%
무료 8
 
10.5%
na 2
 
2.6%
14160 1
 
1.3%
3870 1
 
1.3%
2860 1
 
1.3%
770 1
 
1.3%
970 1
 
1.3%
930 1
 
1.3%
920 1
 
1.3%
Other values (19) 19
25.0%

sahagu
Categorical

Distinct28
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Memory size740.0 B
-
43 
무료
 
4
<NA>
 
3
3,220
 
2
1,460
 
1
Other values (23)
23 

Length

Max length6
Median length1
Mean length2.5921053
Min length1

Unique

Unique24 ?
Unique (%)31.6%

Sample

1st row4,640
2nd row-
3rd row4,010
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 43
56.6%
무료 4
 
5.3%
<NA> 3
 
3.9%
3,220 2
 
2.6%
1,460 1
 
1.3%
4,010 1
 
1.3%
4,650 1
 
1.3%
33,210 1
 
1.3%
6,790 1
 
1.3%
12,470 1
 
1.3%
Other values (18) 18
23.7%

Length

2024-04-16T21:24:14.338283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
43
56.6%
무료 4
 
5.3%
na 3
 
3.9%
3,220 2
 
2.6%
3,870 1
 
1.3%
4,640 1
 
1.3%
3,380 1
 
1.3%
6,030 1
 
1.3%
1,380 1
 
1.3%
930 1
 
1.3%
Other values (18) 18
23.7%

geumjeonggu
Text

MISSING 

Distinct38
Distinct (%)52.8%
Missing4
Missing (%)5.3%
Memory size740.0 B
2024-04-16T21:24:14.471847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.7777778
Min length1

Characters and Unicode

Total characters200
Distinct characters15
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

Unique36 ?
Unique (%)50.0%

Sample

1st row4,640
2nd row-
3rd row-
4th row-
5th row-
ValueCountFrequency (%)
34
47.2%
무료 2
 
2.8%
16500 1
 
1.4%
970 1
 
1.4%
4,640 1
 
1.4%
4470 1
 
1.4%
1460 1
 
1.4%
3380 1
 
1.4%
5730 1
 
1.4%
5930 1
 
1.4%
Other values (28) 28
38.9%
2024-04-16T21:24:14.765612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40
20.0%
- 34
17.0%
1 19
9.5%
4 16
 
8.0%
3 15
 
7.5%
7 14
 
7.0%
, 14
 
7.0%
6 11
 
5.5%
5 9
 
4.5%
8 8
 
4.0%
Other values (5) 20
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 144
72.0%
Dash Punctuation 34
 
17.0%
Other Punctuation 14
 
7.0%
Space Separator 4
 
2.0%
Other Letter 4
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40
27.8%
1 19
13.2%
4 16
 
11.1%
3 15
 
10.4%
7 14
 
9.7%
6 11
 
7.6%
5 9
 
6.2%
8 8
 
5.6%
2 6
 
4.2%
9 6
 
4.2%
Other Letter
ValueCountFrequency (%)
무 2
50.0%
료 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 196
98.0%
Hangul 4
 
2.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40
20.4%
- 34
17.3%
1 19
9.7%
4 16
 
8.2%
3 15
 
7.7%
7 14
 
7.1%
, 14
 
7.1%
6 11
 
5.6%
5 9
 
4.6%
8 8
 
4.1%
Other values (3) 16
 
8.2%
Hangul
ValueCountFrequency (%)
무 2
50.0%
료 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 196
98.0%
Hangul 4
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40
20.4%
- 34
17.3%
1 19
9.7%
4 16
 
8.2%
3 15
 
7.7%
7 14
 
7.1%
, 14
 
7.1%
6 11
 
5.6%
5 9
 
4.6%
8 8
 
4.1%
Other values (3) 16
 
8.2%
Hangul
ValueCountFrequency (%)
무 2
50.0%
료 2
50.0%

gangseogu
Categorical

Distinct37
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
-
38 
<NA>
 
2
무료
 
2
4,650
 
1
1,780
 
1
Other values (32)
32 

Length

Max length6
Median length5.5
Mean length2.8947368
Min length1

Unique

Unique34 ?
Unique (%)44.7%

Sample

1st row4,640
2nd row5,410
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 38
50.0%
<NA> 2
 
2.6%
무료 2
 
2.6%
4,650 1
 
1.3%
1,780 1
 
1.3%
16,000 1
 
1.3%
6,790 1
 
1.3%
6,240 1
 
1.3%
1,670 1
 
1.3%
3,870 1
 
1.3%
Other values (27) 27
35.5%

Length

2024-04-16T21:24:14.905714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
38
50.0%
무료 2
 
2.6%
na 2
 
2.6%
2,250 1
 
1.3%
770 1
 
1.3%
970 1
 
1.3%
3,380 1
 
1.3%
1,380 1
 
1.3%
4,600 1
 
1.3%
5,730 1
 
1.3%
Other values (27) 27
35.5%

yeonjegu
Categorical

Distinct28
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Memory size740.0 B
-
44 
무료
 
4
<NA>
 
2
760
 
2
4010
 
1
Other values (23)
23 

Length

Max length6
Median length1
Mean length2.4473684
Min length1

Unique

Unique24 ?
Unique (%)31.6%

Sample

1st row-
2nd row-
3rd row4010
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 44
57.9%
무료 4
 
5.3%
<NA> 2
 
2.6%
760 2
 
2.6%
4010 1
 
1.3%
6640 1
 
1.3%
1,620 1
 
1.3%
6,790 1
 
1.3%
6,240 1
 
1.3%
3,080 1
 
1.3%
Other values (18) 18
23.7%

Length

2024-04-16T21:24:15.016120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
44
57.9%
무료 4
 
5.3%
na 2
 
2.6%
760 2
 
2.6%
1,460 1
 
1.3%
3,380 1
 
1.3%
2,860 1
 
1.3%
770 1
 
1.3%
970 1
 
1.3%
6,030 1
 
1.3%
Other values (18) 18
23.7%

suyeonggu
Categorical

Distinct30
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Memory size740.0 B
-
39 
<NA>
6 
무료
4 
3,870
 
1
4,650
 
1
Other values (25)
25 

Length

Max length6
Median length1
Mean length2.7236842
Min length1

Unique

Unique27 ?
Unique (%)35.5%

Sample

1st row4,640
2nd row-
3rd row<NA>
4th row<NA>
5th row-

Common Values

ValueCountFrequency (%)
- 39
51.3%
<NA> 6
 
7.9%
무료 4
 
5.3%
3,870 1
 
1.3%
4,650 1
 
1.3%
1,780 1
 
1.3%
30,190 1
 
1.3%
6,790 1
 
1.3%
6,240 1
 
1.3%
1,180 1
 
1.3%
Other values (20) 20
26.3%

Length

2024-04-16T21:24:15.178376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
39
51.3%
na 6
 
7.9%
무료 4
 
5.3%
5,730 1
 
1.3%
4,640 1
 
1.3%
3,380 1
 
1.3%
770 1
 
1.3%
970 1
 
1.3%
6,030 1
 
1.3%
1,380 1
 
1.3%
Other values (20) 20
26.3%

sasanggu
Categorical

Distinct31
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Memory size740.0 B
-
40 
무료
 
4
<NA>
 
3
6240
 
2
11730
 
1
Other values (26)
26 

Length

Max length12
Median length1
Mean length2.5526316
Min length1

Unique

Unique27 ?
Unique (%)35.5%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 40
52.6%
무료 4
 
5.3%
<NA> 3
 
3.9%
6240 2
 
2.6%
11730 1
 
1.3%
3870 1
 
1.3%
19200 1
 
1.3%
5570 1
 
1.3%
14160 1
 
1.3%
3370 1
 
1.3%
Other values (21) 21
27.6%

Length

2024-04-16T21:24:15.298631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
40
52.6%
무료 4
 
5.3%
na 3
 
3.9%
6240 2
 
2.6%
1380 1
 
1.3%
770 1
 
1.3%
6030 1
 
1.3%
76,730(검사의뢰 1
 
1.3%
3380 1
 
1.3%
920 1
 
1.3%
Other values (21) 21
27.6%

gijanggun
Categorical

Distinct29
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size740.0 B
-
43 
무료
 
4
<NA>
 
3
5,930
 
1
4,650
 
1
Other values (24)
24 

Length

Max length6
Median length1
Mean length2.5789474
Min length1

Unique

Unique26 ?
Unique (%)34.2%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 43
56.6%
무료 4
 
5.3%
<NA> 3
 
3.9%
5,930 1
 
1.3%
4,650 1
 
1.3%
1,780 1
 
1.3%
6,790 1
 
1.3%
6,240 1
 
1.3%
1,180 1
 
1.3%
3,080 1
 
1.3%
Other values (19) 19
25.0%

Length

2024-04-16T21:24:15.426075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
43
56.6%
무료 4
 
5.3%
na 3
 
3.9%
1,460 1
 
1.3%
5,730 1
 
1.3%
1,970 1
 
1.3%
970 1
 
1.3%
6,030 1
 
1.3%
1,880 1
 
1.3%
1,380 1
 
1.3%
Other values (19) 19
25.0%

data_day
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
2019-02-28
76 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-02-28
2nd row2019-02-28
3rd row2019-02-28
4th row2019-02-28
5th row2019-02-28

Common Values

ValueCountFrequency (%)
2019-02-28 76
100.0%

Length

2024-04-16T21:24:15.542083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:24:15.662969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-02-28 76
100.0%

apr_at
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

gugun
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

last_load_dttm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
2020-12-21 14:55:51
76 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-21 14:55:51
2nd row2020-12-21 14:55:51
3rd row2020-12-21 14:55:51
4th row2020-12-21 14:55:51
5th row2020-12-21 14:55:51

Common Values

ValueCountFrequency (%)
2020-12-21 14:55:51 76
100.0%

Length

2024-04-16T21:24:15.760445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T21:24:15.848712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-21 76
50.0%
14:55:51 76
50.0%

Sample

skeytest_kindtest_nametest_pricejungguseogudongguyeongdogujingudonglaegunamgubugguhaeundaegusahagugeumjeonggugangseoguyeonjegusuyeonggusasanggugijanggundata_dayapr_atgugunlast_load_dttm
01신장기능검사(3종) 요소질소(BUN), 크레아티닌(Creatinine), 요산(Uric Acid)4,6404,640--4,6404,640-4,6404640-4,6404,6404,640-4,640--2019-02-28<NA><NA>2020-12-21 14:55:51
12신장기능검사(7종) 요소질소(BUN), 크레아티닌(Creatinine), 요산(Uric Acid), 뇨스틱4종(뇨당,뇨단백,pH,잠혈)5,410---5,4105,410------5,410----2019-02-28<NA><NA>2020-12-21 14:55:51
23암검사간암(AFT)4,010---------4,010--4010<NA>--2019-02-28<NA><NA>2020-12-21 14:55:51
34암검사간암(AFP)4,010----4,0108,840(정밀)-40104010----<NA>--2019-02-28<NA><NA>2020-12-21 14:55:51
45암검사 (정밀)대장암(CEA)12,480-----12,480(정밀)----------2019-02-28<NA><NA>2020-12-21 14:55:51
56에이즈(AIDS)에이즈(AIDS)무료무료무료무료무료무료무료무료무료무료무료무료무료무료무료무료무료2019-02-28<NA><NA>2020-12-21 14:55:51
67전혈구검사(CBC)(5종) 혈색소, 헤마토크리트, 적혈구수, 백혈구수,혈소판수4,650--46504,650-4,6504650465046504,650-4,650-4,65046504,6502019-02-28<NA><NA>2020-12-21 14:55:51
78전혈구검사(CBC)(6종) 혈색소,헤마토크리트,적혈구수,백혈구수,혈소판수,백혈구백분율6,640-<NA>--6,640-6640---6,640-6640---2019-02-28<NA><NA>2020-12-21 14:55:51
89전혈구검사(CBC)(7종) 혈색소,헤마토크리트,적혈구수,백혈구수,혈소판수,MCV,MCHC<NA><NA>5,670<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019-02-28<NA><NA>2020-12-21 14:55:51
910통풍(요산)검사요산(Uric Acid)1,6201,7801,7801,7801,7801,7801,780178017801780-1,7801,7801,6201,78017801,7802019-02-28<NA><NA>2020-12-21 14:55:51
skeytest_kindtest_nametest_pricejungguseogudongguyeongdogujingudonglaegunamgubugguhaeundaegusahagugeumjeonggugangseoguyeonjegusuyeonggusasanggugijanggundata_dayapr_atgugunlast_load_dttm
6667소변검사뇨침사현미경검사970---970970---970-970970970970-9702019-02-28<NA><NA>2020-12-21 14:55:51
6768소변검사소변(정밀)1,7401,740---------------2019-02-28<NA><NA>2020-12-21 14:55:51
6869소변검사뇨4종 검사770--770---770770--------2019-02-28<NA><NA>2020-12-21 14:55:51
6970소변검사뇨침사현미경검사3,220--3220---32202250--------2019-02-28<NA><NA>2020-12-21 14:55:51
7071소변검사(4종) pH, 요단백, 요당, 잠혈770770-770770770770770-770770-770770770770-2019-02-28<NA><NA>2020-12-21 14:55:51
7172소변검사(10종) Ph, 백혈구(뇨), 비중(뇨), 빌리루빈(뇨),아질산염(뇨), 요단백, 요당, 유로빌리노젠(뇨), 적혈구(뇨), 케톤체(뇨)1,970--------------18201,9702019-02-28<NA><NA>2020-12-21 14:55:51
7273소변검사뇨Gram stain1,440<NA><NA>1440<NA><NA><NA><NA><NA>-<NA>14402,250-<NA>--2019-02-28<NA><NA>2020-12-21 14:55:51
7374신장기능검사크레아티닌(Creatinine)1,4401,4401,44014201,4401,4401,42014401440--14201,440----2019-02-28<NA><NA>2020-12-21 14:55:51
7475신장기능검사요소질소(BUN)1,4201,4201,42028601,4201,4201,440142014202860--1,4202,860-<NA><NA>2019-02-28<NA><NA>2020-12-21 14:55:51
7576신장기능검사(2종) 요소질소(BUN), 크레아티닌(Creatinine)2,860-2,8602,8602,860-2,860286028602,830--2,8602,8302,86028602,8602019-02-28<NA><NA>2020-12-21 14:55:51