Overview

Dataset statistics

Number of variables7
Number of observations642
Missing cells28
Missing cells (%)0.6%
Duplicate rows52
Duplicate rows (%)8.1%
Total size in memory35.9 KiB
Average record size in memory57.2 B

Variable types

Text4
Numeric1
DateTime1
Categorical1

Dataset

Description2023년 기준 김해시보건소, 보건지소 및 건강지원센터 등에서 보유하고 있는 의료장비 현황에 대한 데이터로 구성되어 있습니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15105987

Alerts

확보기관 has constant value ""Constant
Dataset has 52 (8.1%) duplicate rowsDuplicates
구입단가 has 12 (1.9%) missing valuesMissing
사용장소 has 9 (1.4%) missing valuesMissing

Reproduction

Analysis started2024-01-14 07:55:53.220766
Analysis finished2024-01-14 07:55:54.191397
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

물품명
Text

Distinct226
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-01-14T16:55:54.332376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length20
Mean length7.7772586
Min length2

Characters and Unicode

Total characters4993
Distinct characters328
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

Unique139 ?
Unique (%)21.7%

Sample

1st row의료용격리챔버
2nd row수동식의료용침대
3rd row음압텐트
4th row이동형X-ray
5th row음압전용 격리형 들것
ValueCountFrequency (%)
전자혈압계 67
 
9.5%
덤벨 30
 
4.3%
체조용바또는빔 30
 
4.3%
적외선조사기 20
 
2.8%
휠체어 19
 
2.7%
혈당측정기 19
 
2.7%
기계식청진기또는액세서리 15
 
2.1%
신경근자극기또는키트 11
 
1.6%
범용간호침상또는액세서리 11
 
1.6%
체성분분석기 11
 
1.6%
Other values (242) 472
67.0%
2024-01-14T16:55:54.885082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 335
 
6.7%
는 173
 
3.5%
또 173
 
3.5%
용 165
 
3.3%
자 158
 
3.2%
혈 139
 
2.8%
압 123
 
2.5%
치 122
 
2.4%
계 110
 
2.2%
전 107
 
2.1%
Other values (318) 3388
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4768
95.5%
Space Separator 71
 
1.4%
Uppercase Letter 62
 
1.2%
Lowercase Letter 46
 
0.9%
Open Punctuation 17
 
0.3%
Close Punctuation 17
 
0.3%
Other Punctuation 9
 
0.2%
Dash Punctuation 2
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 335
 
7.0%
는 173
 
3.6%
또 173
 
3.6%
용 165
 
3.5%
자 158
 
3.3%
혈 139
 
2.9%
압 123
 
2.6%
치 122
 
2.6%
계 110
 
2.3%
전 107
 
2.2%
Other values (281) 3163
66.3%
Uppercase Letter
ValueCountFrequency (%)
C 8
12.9%
S 8
12.9%
T 6
9.7%
E 6
9.7%
I 5
8.1%
F 4
 
6.5%
A 4
 
6.5%
B 3
 
4.8%
M 3
 
4.8%
N 3
 
4.8%
Other values (7) 12
19.4%
Lowercase Letter
ValueCountFrequency (%)
e 8
17.4%
u 6
13.0%
a 5
10.9%
r 5
10.9%
i 4
8.7%
t 4
8.7%
s 4
8.7%
n 2
 
4.3%
c 2
 
4.3%
x 2
 
4.3%
Other values (3) 4
8.7%
Other Punctuation
ValueCountFrequency (%)
. 5
55.6%
/ 4
44.4%
Space Separator
ValueCountFrequency (%)
71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4768
95.5%
Common 117
 
2.3%
Latin 108
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 335
 
7.0%
는 173
 
3.6%
또 173
 
3.6%
용 165
 
3.5%
자 158
 
3.3%
혈 139
 
2.9%
압 123
 
2.6%
치 122
 
2.6%
계 110
 
2.3%
전 107
 
2.2%
Other values (281) 3163
66.3%
Latin
ValueCountFrequency (%)
C 8
 
7.4%
e 8
 
7.4%
S 8
 
7.4%
T 6
 
5.6%
E 6
 
5.6%
u 6
 
5.6%
a 5
 
4.6%
r 5
 
4.6%
I 5
 
4.6%
i 4
 
3.7%
Other values (20) 47
43.5%
Common
ValueCountFrequency (%)
71
60.7%
( 17
 
14.5%
) 17
 
14.5%
. 5
 
4.3%
/ 4
 
3.4%
- 2
 
1.7%
2 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4768
95.5%
ASCII 225
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 335
 
7.0%
는 173
 
3.6%
또 173
 
3.6%
용 165
 
3.5%
자 158
 
3.3%
혈 139
 
2.9%
압 123
 
2.6%
치 122
 
2.6%
계 110
 
2.3%
전 107
 
2.2%
Other values (281) 3163
66.3%
ASCII
ValueCountFrequency (%)
71
31.6%
( 17
 
7.6%
) 17
 
7.6%
C 8
 
3.6%
e 8
 
3.6%
S 8
 
3.6%
T 6
 
2.7%
E 6
 
2.7%
u 6
 
2.7%
a 5
 
2.2%
Other values (27) 73
32.4%

규격
Text

Distinct392
Distinct (%)61.3%
Missing2
Missing (%)0.3%
Memory size5.1 KiB
2024-01-14T16:55:55.122815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length47
Mean length26.234375
Min length2

Characters and Unicode

Total characters16790
Distinct characters424
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique318 ?
Unique (%)49.7%

Sample

1st row스페이스업 SUH-01
2nd row태천공업사 RGB-201A 수동식 2180×980×530mm
3rd row4x4m
4th rowAceMobile-510C
5th row실험실용초저온냉동고 일신랩 DF8520 605L -86℃
ValueCountFrequency (%)
평행봉 60
 
2.8%
자동전자혈압계 54
 
2.5%
팔뚝형 38
 
1.8%
hbc1318 30
 
1.4%
3000×500×1500mm 30
 
1.4%
a&d 30
 
1.4%
jp/ua-601 30
 
1.4%
덤벨 30
 
1.4%
한별체육산업 30
 
1.4%
에어로빅아령 30
 
1.4%
Other values (900) 1783
83.1%
2024-01-14T16:55:55.513664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2726
 
16.2%
0 909
 
5.4%
- 405
 
2.4%
1 361
 
2.2%
기 319
 
1.9%
3 262
 
1.6%
자 243
 
1.4%
S 230
 
1.4%
e 216
 
1.3%
a 214
 
1.3%
Other values (414) 10905
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6286
37.4%
Space Separator 2726
16.2%
Uppercase Letter 2459
 
14.6%
Decimal Number 2263
 
13.5%
Lowercase Letter 2186
 
13.0%
Dash Punctuation 405
 
2.4%
Other Punctuation 292
 
1.7%
Math Symbol 114
 
0.7%
Open Punctuation 23
 
0.1%
Close Punctuation 23
 
0.1%
Other values (3) 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 319
 
5.1%
자 243
 
3.9%
동 152
 
2.4%
전 139
 
2.2%
용 136
 
2.2%
계 120
 
1.9%
체 110
 
1.7%
치 109
 
1.7%
혈 106
 
1.7%
압 105
 
1.7%
Other values (335) 4747
75.5%
Uppercase Letter
ValueCountFrequency (%)
S 230
 
9.4%
A 186
 
7.6%
P 167
 
6.8%
D 156
 
6.3%
I 143
 
5.8%
C 137
 
5.6%
B 132
 
5.4%
E 129
 
5.2%
H 123
 
5.0%
R 112
 
4.6%
Other values (17) 944
38.4%
Lowercase Letter
ValueCountFrequency (%)
e 216
 
9.9%
a 214
 
9.8%
m 211
 
9.7%
n 155
 
7.1%
i 154
 
7.0%
t 145
 
6.6%
r 138
 
6.3%
s 132
 
6.0%
o 125
 
5.7%
c 99
 
4.5%
Other values (16) 597
27.3%
Decimal Number
ValueCountFrequency (%)
0 909
40.2%
1 361
 
16.0%
3 262
 
11.6%
5 196
 
8.7%
2 174
 
7.7%
6 113
 
5.0%
8 79
 
3.5%
4 73
 
3.2%
7 57
 
2.5%
9 39
 
1.7%
Other Punctuation
ValueCountFrequency (%)
/ 186
63.7%
. 62
 
21.2%
& 31
 
10.6%
* 11
 
3.8%
: 2
 
0.7%
Math Symbol
ValueCountFrequency (%)
× 106
93.0%
~ 7
 
6.1%
+ 1
 
0.9%
Other Symbol
ValueCountFrequency (%)
㎥ 4
66.7%
℃ 2
33.3%
Space Separator
ValueCountFrequency (%)
2726
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 405
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6286
37.4%
Common 5854
34.9%
Latin 4647
27.7%
Greek 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 319
 
5.1%
자 243
 
3.9%
동 152
 
2.4%
전 139
 
2.2%
용 136
 
2.2%
계 120
 
1.9%
체 110
 
1.7%
치 109
 
1.7%
혈 106
 
1.7%
압 105
 
1.7%
Other values (335) 4747
75.5%
Latin
ValueCountFrequency (%)
S 230
 
4.9%
e 216
 
4.6%
a 214
 
4.6%
m 211
 
4.5%
A 186
 
4.0%
P 167
 
3.6%
D 156
 
3.4%
n 155
 
3.3%
i 154
 
3.3%
t 145
 
3.1%
Other values (42) 2813
60.5%
Common
ValueCountFrequency (%)
2726
46.6%
0 909
 
15.5%
- 405
 
6.9%
1 361
 
6.2%
3 262
 
4.5%
5 196
 
3.3%
/ 186
 
3.2%
2 174
 
3.0%
6 113
 
1.9%
× 106
 
1.8%
Other values (15) 416
 
7.1%
Greek
ValueCountFrequency (%)
Φ 2
66.7%
μ 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10382
61.8%
Hangul 6286
37.4%
None 109
 
0.6%
Number Forms 5
 
< 0.1%
CJK Compat 4
 
< 0.1%
Modifier Letters 2
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2726
26.3%
0 909
 
8.8%
- 405
 
3.9%
1 361
 
3.5%
3 262
 
2.5%
S 230
 
2.2%
e 216
 
2.1%
a 214
 
2.1%
m 211
 
2.0%
5 196
 
1.9%
Other values (62) 4652
44.8%
Hangul
ValueCountFrequency (%)
기 319
 
5.1%
자 243
 
3.9%
동 152
 
2.4%
전 139
 
2.2%
용 136
 
2.2%
계 120
 
1.9%
체 110
 
1.7%
치 109
 
1.7%
혈 106
 
1.7%
압 105
 
1.7%
Other values (335) 4747
75.5%
None
ValueCountFrequency (%)
× 106
97.2%
Φ 2
 
1.8%
μ 1
 
0.9%
Number Forms
ValueCountFrequency (%)
Ⅲ 5
100.0%
CJK Compat
ValueCountFrequency (%)
㎥ 4
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%

구입단가
Real number (ℝ)

MISSING 

Distinct292
Distinct (%)46.3%
Missing12
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean4916219.5
Minimum4000
Maximum3.7379864 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-01-14T16:55:55.645720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4000
5-th percentile10000
Q1110000
median500000
Q32630000
95-th percentile15965000
Maximum3.7379864 × 108
Range3.7379464 × 108
Interquartile range (IQR)2520000

Descriptive statistics

Standard deviation19627144
Coefficient of variation (CV)3.9923246
Kurtosis205.85496
Mean4916219.5
Median Absolute Deviation (MAD)481850
Skewness12.32641
Sum3.0972183 × 109
Variance3.8522478 × 1014
MonotonicityNot monotonic
2024-01-14T16:55:55.779583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115000 30
 
4.7%
18150 30
 
4.7%
110000 28
 
4.4%
5000 15
 
2.3%
4000 15
 
2.3%
55000 14
 
2.2%
88000 11
 
1.7%
10000 11
 
1.7%
440000 8
 
1.2%
500000 8
 
1.2%
Other values (282) 460
71.7%
(Missing) 12
 
1.9%
ValueCountFrequency (%)
4000 15
2.3%
5000 15
2.3%
10000 11
 
1.7%
16500 1
 
0.2%
18150 30
4.7%
33000 6
 
0.9%
44000 1
 
0.2%
45000 1
 
0.2%
47000 1
 
0.2%
50000 2
 
0.3%
ValueCountFrequency (%)
373798640 1
0.2%
130000000 1
0.2%
112816000 1
0.2%
101342720 1
0.2%
99992890 1
0.2%
95700000 1
0.2%
88720000 1
0.2%
84822000 1
0.2%
81699000 1
0.2%
70253180 1
0.2%

구입일자
Date

Distinct237
Distinct (%)37.2%
Missing5
Missing (%)0.8%
Memory size5.1 KiB
Minimum1993-04-28 00:00:00
Maximum2022-10-29 00:00:00
2024-01-14T16:55:55.915532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T16:55:56.049559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기능
Text

Distinct238
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-01-14T16:55:56.258948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length8.2772586
Min length2

Characters and Unicode

Total characters5314
Distinct characters284
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)23.8%

Sample

1st row음압채담부스
2nd row의료용 침대
3rd row의료용 산소천막
4th row폐질환 검사
5th row응급처치용 들것
ValueCountFrequency (%)
건강운동클리닉 73
 
8.7%
운영용 49
 
5.9%
방문건강관리 39
 
4.7%
건강증진담당 35
 
4.2%
만성질환 30
 
3.6%
상담실 30
 
3.6%
휠체어 19
 
2.3%
물리치료실 16
 
1.9%
재활운동치료실 14
 
1.7%
환자진료용 11
 
1.3%
Other values (259) 519
62.2%
2024-01-14T16:55:56.577991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 227
 
4.3%
197
 
3.7%
용 182
 
3.4%
운 169
 
3.2%
기 166
 
3.1%
건 164
 
3.1%
강 160
 
3.0%
치 158
 
3.0%
료 138
 
2.6%
동 127
 
2.4%
Other values (274) 3626
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5027
94.6%
Space Separator 197
 
3.7%
Dash Punctuation 48
 
0.9%
Uppercase Letter 23
 
0.4%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Decimal Number 3
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 227
 
4.5%
용 182
 
3.6%
운 169
 
3.4%
기 166
 
3.3%
건 164
 
3.3%
강 160
 
3.2%
치 158
 
3.1%
료 138
 
2.7%
동 127
 
2.5%
실 110
 
2.2%
Other values (258) 3426
68.2%
Uppercase Letter
ValueCountFrequency (%)
T 5
21.7%
C 4
17.4%
S 4
17.4%
I 3
13.0%
P 2
 
8.7%
E 2
 
8.7%
N 2
 
8.7%
M 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
9 1
33.3%
1 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5027
94.6%
Common 264
 
5.0%
Latin 23
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 227
 
4.5%
용 182
 
3.6%
운 169
 
3.4%
기 166
 
3.3%
건 164
 
3.3%
강 160
 
3.2%
치 158
 
3.1%
료 138
 
2.7%
동 127
 
2.5%
실 110
 
2.2%
Other values (258) 3426
68.2%
Common
ValueCountFrequency (%)
197
74.6%
- 48
 
18.2%
) 7
 
2.7%
( 7
 
2.7%
. 2
 
0.8%
9 1
 
0.4%
1 1
 
0.4%
5 1
 
0.4%
Latin
ValueCountFrequency (%)
T 5
21.7%
C 4
17.4%
S 4
17.4%
I 3
13.0%
P 2
 
8.7%
E 2
 
8.7%
N 2
 
8.7%
M 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5027
94.6%
ASCII 287
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 227
 
4.5%
용 182
 
3.6%
운 169
 
3.4%
기 166
 
3.3%
건 164
 
3.3%
강 160
 
3.2%
치 158
 
3.1%
료 138
 
2.7%
동 127
 
2.5%
실 110
 
2.2%
Other values (258) 3426
68.2%
ASCII
ValueCountFrequency (%)
197
68.6%
- 48
 
16.7%
) 7
 
2.4%
( 7
 
2.4%
T 5
 
1.7%
C 4
 
1.4%
S 4
 
1.4%
I 3
 
1.0%
. 2
 
0.7%
P 2
 
0.7%
Other values (6) 8
 
2.8%

확보기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
보건소
642 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보건소
2nd row보건소
3rd row보건소
4th row보건소
5th row보건소

Common Values

ValueCountFrequency (%)
보건소 642
100.0%

Length

2024-01-14T16:55:56.699143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T16:55:56.814008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건소 642
100.0%

사용장소
Text

MISSING 

Distinct85
Distinct (%)13.4%
Missing9
Missing (%)1.4%
Memory size5.1 KiB
2024-01-14T16:55:57.147181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length12.382306
Min length5

Characters and Unicode

Total characters7838
Distinct characters104
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)4.1%

Sample

1st row김해시보건소 결핵예방실
2nd row김해시보건소 호흡기클리닉
3rd row김해시보건소 선별진료소
4th row김해시보건소 선별진료소
5th row김해시보건소
ValueCountFrequency (%)
김해시보건소 243
20.1%
서부건강지원센터 129
 
10.7%
물리치료실 107
 
8.8%
건강운동클리닉 73
 
6.0%
재활치료실 48
 
4.0%
동부도시보건지소 44
 
3.6%
진영읍보건지소 41
 
3.4%
방문건강관리 39
 
3.2%
만성질환 32
 
2.6%
상담실 32
 
2.6%
Other values (56) 423
34.9%
2024-01-14T16:55:57.523034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 816
 
10.4%
586
 
7.5%
보 486
 
6.2%
소 443
 
5.7%
실 393
 
5.0%
강 369
 
4.7%
지 348
 
4.4%
시 291
 
3.7%
리 265
 
3.4%
해 244
 
3.1%
Other values (94) 3597
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7242
92.4%
Space Separator 586
 
7.5%
Dash Punctuation 6
 
0.1%
Decimal Number 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 816
 
11.3%
보 486
 
6.7%
소 443
 
6.1%
실 393
 
5.4%
강 369
 
5.1%
지 348
 
4.8%
시 291
 
4.0%
리 265
 
3.7%
해 244
 
3.4%
김 244
 
3.4%
Other values (89) 3343
46.2%
Space Separator
ValueCountFrequency (%)
586
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Decimal Number
ValueCountFrequency (%)
7 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7242
92.4%
Common 596
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 816
 
11.3%
보 486
 
6.7%
소 443
 
6.1%
실 393
 
5.4%
강 369
 
5.1%
지 348
 
4.8%
시 291
 
4.0%
리 265
 
3.7%
해 244
 
3.4%
김 244
 
3.4%
Other values (89) 3343
46.2%
Common
ValueCountFrequency (%)
586
98.3%
- 6
 
1.0%
7 2
 
0.3%
( 1
 
0.2%
) 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7242
92.4%
ASCII 596
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 816
 
11.3%
보 486
 
6.7%
소 443
 
6.1%
실 393
 
5.4%
강 369
 
5.1%
지 348
 
4.8%
시 291
 
4.0%
리 265
 
3.7%
해 244
 
3.4%
김 244
 
3.4%
Other values (89) 3343
46.2%
ASCII
ValueCountFrequency (%)
586
98.3%
- 6
 
1.0%
7 2
 
0.3%
( 1
 
0.2%
) 1
 
0.2%

Interactions

2024-01-14T16:55:53.847064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-14T16:55:57.612212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구입단가사용장소
구입단가1.0000.674
사용장소0.6741.000

Missing values

2024-01-14T16:55:53.957964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-14T16:55:54.054637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-01-14T16:55:54.142287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

물품명규격구입단가구입일자기능확보기관사용장소
0의료용격리챔버스페이스업 SUH-01155000002020-03-31음압채담부스보건소김해시보건소 결핵예방실
1수동식의료용침대태천공업사 RGB-201A 수동식 2180×980×530mm8000002021-12-25의료용 침대보건소김해시보건소 호흡기클리닉
2음압텐트4x4m146000002020-04-08의료용 산소천막보건소김해시보건소 선별진료소
3이동형X-rayAceMobile-510C685000002020-02-18폐질환 검사보건소김해시보건소 선별진료소
4음압전용 격리형 들것<NA>146950002016-04-19응급처치용 들것보건소김해시보건소
5실험실용초저온냉동고실험실용초저온냉동고 일신랩 DF8520 605L -86℃144777602021-03-26코로나19 백신보관보건소김해시보건소 예방접종실
6팍스-디지털엑스선진단장치의료용방사선필름기록장치하드웨어999928902012-06-13흉부촬영보건소동부도시보건지소 건강검사실
7생화학분석기arkray-JP/Soptchem SP-4420-Blood ammonia checker154000002011-09-19임상병리실-생화학검사보건소동부도시보건지소 건강검사실
8혈색소측정기핵색소측정기 옥시헤모글로빈 분석장치6937002011-11-30임상병리실-혈색소측정기보건소동부도시보건지소 건강검사실
9당화혈색소측정기인포피아-Easy A1c26000002012-02-16임상병리실-당화혈색소측정기보건소동부도시보건지소 건강검사실
물품명규격구입단가구입일자기능확보기관사용장소
632휠체어휠체어 대세 엠.케어 SOLO2002 알루미늄3300002021-02-22휠체어보건소서부건강지원센터 재활치료실
633휠체어휠체어 대세 엠.케어 SOLO2002 알루미늄3300002021-02-22휠체어보건소서부건강지원센터 재활치료실
634휠체어휠체어 대세 엠.케어 SOLO2002 알루미늄3300002021-02-22휠체어보건소서부건강지원센터 재활치료실
635휠체어휠체어 대세 엠.케어 SOLO2002 알루미늄3300002021-02-22휠체어보건소서부건강지원센터 재활치료실
636휠체어휠체어 대세 엠.케어 SOLO2002 알루미늄3300002021-02-22휠체어보건소서부건강지원센터 재활치료실
637휠체어휠체어 대세엠.케어 P7000(Comfy) 알루미늄 휠체어4000002018-11-14휠체어보건소서부건강지원센터 재활치료실
638휠체어휠체어 대세엠.케어 P7000(Comfy) 알루미늄 휠체어4000002018-11-14휠체어보건소서부건강지원센터 재활치료실
639휠체어휠체어 미키코리아 HSA-8 수동식4800002017-03-30휠체어보건소서부건강지원센터 재활치료실
640흡연시뮬레이터흡연시뮬레이터 Health edco US/루-휘즈의폐모델비교5500002015-07-07흡연시뮬레이터보건소서부건강지원센터 금연클리닉
641흡연시뮬레이터흡연시뮬레이터 메디피아 금연직간접흡연시연기2750002010-02-21흡연시뮬레이터보건소서부건강지원센터 금연클리닉

Duplicate rows

Most frequently occurring

물품명규격구입단가구입일자기능확보기관사용장소# duplicates
30전자혈압계자동전자혈압계 A&D JP/UA-601 팔뚝형1150002016-03-04만성질환 상담실보건소김해시보건소 만성질환 상담실30
34체조용바또는빔평행봉 한별체육산업 HBC1318 3000×500×1500mm 평행봉181502006-12-08건강운동클리닉 운영용보건소김해시보건소 건강운동클리닉30
4덤벨덤벨 렉스코 1kg 에어로빅아령40002006-12-08건강증진담당 건강운동클리닉보건소김해시보건소 건강운동클리닉15
5덤벨덤벨 학성스포츠 2kg 에어로빅아령50002006-12-08건강증진담당 건강운동클리닉보건소김해시보건소 건강운동클리닉15
33전자혈압계전자혈압계 전자동550002002-12-16방문건강관리보건소김해시보건소 방문건강관리12
3기계식청진기또는액세서리기계식청진기 Kawe DE/Prestige-Standard 양면100002002-12-16방문건강관리보건소김해시보건소 방문건강관리11
43혈당측정기혈당측정기 Queststar medical US/CheckMate Plus880002002-12-16방문건강관리보건소김해시보건소 방문건강관리10
14심미치과용광중합기또는액세서리치과용가시광선중합기 디메텍 SKYLIGHT 치과용가시광선중합기6600002014-12-31심미치과용광중합기또는액세서리보건소장유건강지원센터 구강보건실7
44혈당측정기혈당측정기 Roche DE/ACCU-CHEK Active330002008-11-26혈당측정용보건소김해시보건소 검사실6
7범용간호침상또는액세서리수동식의료용침대 온돌명가 명가103 돌황토침대5000002007-01-12범용간호침상또는액세서리보건소진영읍보건지소 한방진료실5