Overview

Dataset statistics

Number of variables44
Number of observations219
Missing cells216
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.4 KiB
Average record size in memory366.6 B

Variable types

Text3
Boolean27
Numeric14

Dataset

Description대구광역시 서구 병의원 시설에 대한 상세정보 데이터입니다. 미닫이문 유무, 휠체어 출입가능 유무 등 병의원의 편의시설 유무를 알 수 있습니다.
Author대구광역시 서구
URLhttps://www.data.go.kr/data/15112867/fileData.do

Alerts

회전문 유무 has constant value ""Constant
미닫이문 유무 is highly imbalanced (89.6%)Imbalance
손잡이 유무 is highly imbalanced (60.6%)Imbalance
손잡이 점자표기 유무 is highly imbalanced (71.3%)Imbalance
미끄럼 방지판 유무 is highly imbalanced (57.4%)Imbalance
장애인 화장실 미닫이문 유무 is highly imbalanced (75.3%)Imbalance
장애인 화장실 여닫이문 유무 is highly imbalanced (51.5%)Imbalance
장애인 화장실 버튼식 자동문 유무 is highly imbalanced (75.3%)Imbalance
장애인 화장실 입구 경사 유무 is highly imbalanced (81.9%)Imbalance
장애인 화장실 손잡이 유무 is highly imbalanced (95.8%)Imbalance
장애인 화장실 미끄럼 방지판 유무 is highly imbalanced (92.5%)Imbalance
세면대 유무 is highly imbalanced (67.5%)Imbalance
세면대 옆 유무 is highly imbalanced (77.4%)Imbalance
기타 기재 has 216 (98.6%) missing valuesMissing
업체명 has unique valuesUnique
출입구 폭 has 5 (2.3%) zerosZeros
전면 유효거리 has 36 (16.4%) zerosZeros
턱 높이 has 97 (44.3%) zerosZeros
가로폭 has 159 (72.6%) zerosZeros
경사면 각도 has 159 (72.6%) zerosZeros
테이블 사이의 간격 has 211 (96.3%) zerosZeros
테이블 높이 has 174 (79.5%) zerosZeros
테이블 폭 has 174 (79.5%) zerosZeros
장애인 화장실 입구 폭 has 6 (2.7%) zerosZeros
장애인 화장실 턱 높이 has 57 (26.0%) zerosZeros
장애인 화장실 가로폭 has 213 (97.3%) zerosZeros
장애인 화장실 경사면 각도 has 213 (97.3%) zerosZeros
세면대 밑 공간 높이 has 20 (9.1%) zerosZeros
높이 has 13 (5.9%) zerosZeros

Reproduction

Analysis started2024-03-14 13:55:10.724038
Analysis finished2024-03-14 13:55:11.563669
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct219
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-14T22:55:12.161898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.3333333
Min length4

Characters and Unicode

Total characters1606
Distinct characters226
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

Unique219 ?
Unique (%)100.0%

Sample

1st row대구의료원
2nd row제이병원
3rd row대구광역시서부노인전문병원
4th row박진호속시원내과의원
5th row코코플러스이비인후과의원
ValueCountFrequency (%)
거부 5
 
2.2%
서대구정신건강의학과의원_(제공 1
 
0.4%
평리한의원 1
 
0.4%
자연봄한의원 1
 
0.4%
태송한의원 1
 
0.4%
대흥한의원 1
 
0.4%
마루한의원 1
 
0.4%
해오름한의원 1
 
0.4%
정인당한의원 1
 
0.4%
밀양한의원 1
 
0.4%
Other values (211) 211
93.8%
2024-03-14T22:55:13.225118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
227
 
14.1%
216
 
13.4%
127
 
7.9%
67
 
4.2%
45
 
2.8%
34
 
2.1%
29
 
1.8%
27
 
1.7%
25
 
1.6%
24
 
1.5%
Other values (216) 785
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1581
98.4%
Space Separator 6
 
0.4%
Close Punctuation 5
 
0.3%
Open Punctuation 5
 
0.3%
Connector Punctuation 5
 
0.3%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
227
 
14.4%
216
 
13.7%
127
 
8.0%
67
 
4.2%
45
 
2.8%
34
 
2.2%
29
 
1.8%
27
 
1.7%
25
 
1.6%
24
 
1.5%
Other values (209) 760
48.1%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
1 1
25.0%
4 1
25.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1581
98.4%
Common 25
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
227
 
14.4%
216
 
13.7%
127
 
8.0%
67
 
4.2%
45
 
2.8%
34
 
2.2%
29
 
1.8%
27
 
1.7%
25
 
1.6%
24
 
1.5%
Other values (209) 760
48.1%
Common
ValueCountFrequency (%)
6
24.0%
) 5
20.0%
( 5
20.0%
_ 5
20.0%
0 2
 
8.0%
1 1
 
4.0%
4 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1581
98.4%
ASCII 25
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
227
 
14.4%
216
 
13.7%
127
 
8.0%
67
 
4.2%
45
 
2.8%
34
 
2.2%
29
 
1.8%
27
 
1.7%
25
 
1.6%
24
 
1.5%
Other values (209) 760
48.1%
ASCII
ValueCountFrequency (%)
6
24.0%
) 5
20.0%
( 5
20.0%
_ 5
20.0%
0 2
 
8.0%
1 1
 
4.0%
4 1
 
4.0%
Distinct207
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-14T22:55:14.856432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length26.497717
Min length21

Characters and Unicode

Total characters5803
Distinct characters87
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

Unique195 ?
Unique (%)89.0%

Sample

1st row대구광역시 서구 평리로 157 (중리동)
2nd row대구광역시 서구 달구벌대로 1677 (내당동)
3rd row대구광역시 서구 와룡로 298-13 (중리동)
4th row대구광역시 서구 달구벌대로 1691 (내당동)
5th row대구광역시 서구 평리로 243 (중리동)
ValueCountFrequency (%)
대구광역시 219
17.8%
서구 219
17.8%
평리동 71
 
5.8%
비산동 71
 
5.8%
내당동 56
 
4.5%
국채보상로 45
 
3.6%
2층 41
 
3.3%
달서로 34
 
2.8%
달구벌대로 28
 
2.3%
서대구로 24
 
1.9%
Other values (230) 425
34.5%
2024-03-14T22:55:16.558516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1014
17.5%
497
 
8.6%
294
 
5.1%
284
 
4.9%
226
 
3.9%
) 220
 
3.8%
( 220
 
3.8%
219
 
3.8%
219
 
3.8%
219
 
3.8%
Other values (77) 2391
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3307
57.0%
Space Separator 1014
 
17.5%
Decimal Number 881
 
15.2%
Close Punctuation 220
 
3.8%
Open Punctuation 220
 
3.8%
Other Punctuation 135
 
2.3%
Dash Punctuation 17
 
0.3%
Math Symbol 8
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
497
15.0%
294
 
8.9%
284
 
8.6%
226
 
6.8%
219
 
6.6%
219
 
6.6%
219
 
6.6%
219
 
6.6%
115
 
3.5%
95
 
2.9%
Other values (60) 920
27.8%
Decimal Number
ValueCountFrequency (%)
1 185
21.0%
2 155
17.6%
3 126
14.3%
4 77
8.7%
6 68
 
7.7%
8 65
 
7.4%
5 62
 
7.0%
7 52
 
5.9%
0 51
 
5.8%
9 40
 
4.5%
Space Separator
ValueCountFrequency (%)
1014
100.0%
Close Punctuation
ValueCountFrequency (%)
) 220
100.0%
Open Punctuation
ValueCountFrequency (%)
( 220
100.0%
Other Punctuation
ValueCountFrequency (%)
, 135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3307
57.0%
Common 2495
43.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
497
15.0%
294
 
8.9%
284
 
8.6%
226
 
6.8%
219
 
6.6%
219
 
6.6%
219
 
6.6%
219
 
6.6%
115
 
3.5%
95
 
2.9%
Other values (60) 920
27.8%
Common
ValueCountFrequency (%)
1014
40.6%
) 220
 
8.8%
( 220
 
8.8%
1 185
 
7.4%
2 155
 
6.2%
, 135
 
5.4%
3 126
 
5.1%
4 77
 
3.1%
6 68
 
2.7%
8 65
 
2.6%
Other values (6) 230
 
9.2%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3307
57.0%
ASCII 2496
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1014
40.6%
) 220
 
8.8%
( 220
 
8.8%
1 185
 
7.4%
2 155
 
6.2%
, 135
 
5.4%
3 126
 
5.0%
4 77
 
3.1%
6 68
 
2.7%
8 65
 
2.6%
Other values (7) 231
 
9.3%
Hangul
ValueCountFrequency (%)
497
15.0%
294
 
8.9%
284
 
8.6%
226
 
6.8%
219
 
6.6%
219
 
6.6%
219
 
6.6%
219
 
6.6%
115
 
3.5%
95
 
2.9%
Other values (60) 920
27.8%

미닫이문 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
216 
True
 
3
ValueCountFrequency (%)
False 216
98.6%
True 3
 
1.4%
2024-03-14T22:55:16.757140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
True
160 
False
59 
ValueCountFrequency (%)
True 160
73.1%
False 59
 
26.9%
2024-03-14T22:55:16.966423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
160 
True
59 
ValueCountFrequency (%)
False 160
73.1%
True 59
 
26.9%
2024-03-14T22:55:17.258189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

회전문 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
219 
ValueCountFrequency (%)
False 219
100.0%
2024-03-14T22:55:17.551345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기타 기재
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing216
Missing (%)98.6%
Memory size1.8 KiB
2024-03-14T22:55:17.951411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length4.3333333
Min length3

Characters and Unicode

Total characters13
Distinct characters9
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

Unique1 ?
Unique (%)33.3%

Sample

1st row미닫이문 있음
2nd row자동문
3rd row자동문
ValueCountFrequency (%)
자동문 2
50.0%
미닫이문 1
25.0%
있음 1
25.0%
2024-03-14T22:55:18.795458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
23.1%
2
15.4%
2
15.4%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
92.3%
Space Separator 1
 
7.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3
25.0%
2
16.7%
2
16.7%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
92.3%
Common 1
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3
25.0%
2
16.7%
2
16.7%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
92.3%
ASCII 1
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3
25.0%
2
16.7%
2
16.7%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
ASCII
ValueCountFrequency (%)
1
100.0%
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
110 
True
109 
ValueCountFrequency (%)
False 110
50.2%
True 109
49.8%
2024-03-14T22:55:19.140219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
True
156 
False
63 
ValueCountFrequency (%)
True 156
71.2%
False 63
28.8%
2024-03-14T22:55:19.440458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

출입구 폭
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.83151
Minimum0
Maximum302
Zeros5
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T22:55:19.784395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80
Q1100
median160
Q3180
95-th percentile200
Maximum302
Range302
Interquartile range (IQR)80

Descriptive statistics

Standard deviation47.898321
Coefficient of variation (CV)0.33301689
Kurtosis0.51736207
Mean143.83151
Median Absolute Deviation (MAD)32
Skewness-0.46204368
Sum31499.1
Variance2294.2491
MonotonicityNot monotonic
2024-03-14T22:55:20.225973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.0 20
 
9.1%
180.0 15
 
6.8%
160.0 15
 
6.8%
100.0 10
 
4.6%
80.0 9
 
4.1%
195.0 7
 
3.2%
170.0 6
 
2.7%
153.0 6
 
2.7%
162.0 5
 
2.3%
159.0 5
 
2.3%
Other values (72) 121
55.3%
ValueCountFrequency (%)
0.0 5
 
2.3%
70.0 1
 
0.5%
80.0 9
4.1%
82.0 3
 
1.4%
85.0 4
 
1.8%
86.0 1
 
0.5%
90.0 20
9.1%
91.0 1
 
0.5%
92.0 1
 
0.5%
93.0 2
 
0.9%
ValueCountFrequency (%)
302.0 1
 
0.5%
250.0 1
 
0.5%
246.0 1
 
0.5%
230.0 1
 
0.5%
222.0 1
 
0.5%
215.0 1
 
0.5%
205.5 2
0.9%
202.0 1
 
0.5%
200.0 3
1.4%
199.0 1
 
0.5%

전면 유효거리
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.51644
Minimum0
Maximum620.4
Zeros36
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T22:55:20.638367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q179.5
median150
Q3214.5
95-th percentile318.7
Maximum620.4
Range620.4
Interquartile range (IQR)135

Descriptive statistics

Standard deviation102.74031
Coefficient of variation (CV)0.68258534
Kurtosis0.90678344
Mean150.51644
Median Absolute Deviation (MAD)70
Skewness0.45722376
Sum32963.1
Variance10555.572
MonotonicityNot monotonic
2024-03-14T22:55:21.079773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 36
 
16.4%
150.0 9
 
4.1%
300.0 8
 
3.7%
200.0 8
 
3.7%
100.0 7
 
3.2%
180.0 5
 
2.3%
160.0 5
 
2.3%
250.0 5
 
2.3%
190.0 5
 
2.3%
80.0 4
 
1.8%
Other values (90) 127
58.0%
ValueCountFrequency (%)
0.0 36
16.4%
20.0 2
 
0.9%
27.0 1
 
0.5%
40.0 1
 
0.5%
42.0 1
 
0.5%
44.0 1
 
0.5%
51.0 1
 
0.5%
56.0 1
 
0.5%
57.0 1
 
0.5%
61.0 1
 
0.5%
ValueCountFrequency (%)
620.4 1
 
0.5%
360.0 3
 
1.4%
350.0 2
 
0.9%
345.0 1
 
0.5%
324.0 2
 
0.9%
320.0 1
 
0.5%
318.7 2
 
0.9%
310.0 3
 
1.4%
300.0 8
3.7%
295.0 1
 
0.5%

턱 높이
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.075342
Minimum0
Maximum150
Zeros97
Zeros (%)44.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T22:55:21.496767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q320
95-th percentile56.4
Maximum150
Range150
Interquartile range (IQR)20

Descriptive statistics

Standard deviation24.816877
Coefficient of variation (CV)1.6461899
Kurtosis11.20889
Mean15.075342
Median Absolute Deviation (MAD)3
Skewness2.9175198
Sum3301.5
Variance615.87737
MonotonicityNot monotonic
2024-03-14T22:55:21.942172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 97
44.3%
3.0 7
 
3.2%
15.0 6
 
2.7%
2.0 6
 
2.7%
5.0 6
 
2.7%
20.0 5
 
2.3%
50.0 5
 
2.3%
18.0 5
 
2.3%
17.0 5
 
2.3%
19.0 4
 
1.8%
Other values (43) 73
33.3%
ValueCountFrequency (%)
0.0 97
44.3%
2.0 6
 
2.7%
2.5 1
 
0.5%
3.0 7
 
3.2%
4.0 3
 
1.4%
5.0 6
 
2.7%
6.0 3
 
1.4%
7.0 2
 
0.9%
8.6 1
 
0.5%
9.0 2
 
0.9%
ValueCountFrequency (%)
150.0 1
 
0.5%
147.0 2
0.9%
120.0 1
 
0.5%
75.8 3
1.4%
61.2 1
 
0.5%
61.0 1
 
0.5%
60.0 2
0.9%
56.0 1
 
0.5%
55.0 1
 
0.5%
54.0 1
 
0.5%
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
159 
True
60 
ValueCountFrequency (%)
False 159
72.6%
True 60
 
27.4%
2024-03-14T22:55:22.306652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

손잡이 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
202 
True
 
17
ValueCountFrequency (%)
False 202
92.2%
True 17
 
7.8%
2024-03-14T22:55:22.604110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
208 
True
 
11
ValueCountFrequency (%)
False 208
95.0%
True 11
 
5.0%
2024-03-14T22:55:22.905543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

미끄럼 방지판 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
200 
True
 
19
ValueCountFrequency (%)
False 200
91.3%
True 19
 
8.7%
2024-03-14T22:55:23.196204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

가로폭
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.634703
Minimum0
Maximum520
Zeros159
Zeros (%)72.6%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T22:55:23.550685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q387.25
95-th percentile229.95
Maximum520
Range520
Interquartile range (IQR)87.25

Descriptive statistics

Standard deviation92.964622
Coefficient of variation (CV)1.9114874
Kurtosis5.3899774
Mean48.634703
Median Absolute Deviation (MAD)0
Skewness2.2183276
Sum10651
Variance8642.421
MonotonicityNot monotonic
2024-03-14T22:55:23.996756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.0 159
72.6%
127.0 5
 
2.3%
180.0 3
 
1.4%
210.0 3
 
1.4%
130.0 2
 
0.9%
100.0 2
 
0.9%
120.0 2
 
0.9%
90.0 2
 
0.9%
260.0 2
 
0.9%
151.0 1
 
0.5%
Other values (38) 38
 
17.4%
ValueCountFrequency (%)
0.0 159
72.6%
60.0 1
 
0.5%
76.5 1
 
0.5%
77.0 1
 
0.5%
79.0 1
 
0.5%
86.0 1
 
0.5%
88.5 1
 
0.5%
90.0 2
 
0.9%
94.0 1
 
0.5%
100.0 2
 
0.9%
ValueCountFrequency (%)
520.0 1
0.5%
420.0 1
0.5%
412.0 1
0.5%
405.0 1
0.5%
363.0 1
0.5%
280.0 1
0.5%
260.0 2
0.9%
244.0 1
0.5%
240.0 1
0.5%
238.5 1
0.5%

경사면 각도
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4986301
Minimum0
Maximum30
Zeros159
Zeros (%)72.6%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T22:55:24.610406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.4
95-th percentile14.03
Maximum30
Range30
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation5.0432213
Coefficient of variation (CV)2.0183945
Kurtosis5.2400789
Mean2.4986301
Median Absolute Deviation (MAD)0
Skewness2.2376194
Sum547.2
Variance25.434081
MonotonicityNot monotonic
2024-03-14T22:55:25.031808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.0 159
72.6%
4.6 6
 
2.7%
12.0 3
 
1.4%
5.9 3
 
1.4%
8.7 3
 
1.4%
15.1 2
 
0.9%
11.0 2
 
0.9%
10.7 2
 
0.9%
7.0 2
 
0.9%
0.4 2
 
0.9%
Other values (33) 35
 
16.0%
ValueCountFrequency (%)
0.0 159
72.6%
0.3 1
 
0.5%
0.4 2
 
0.9%
0.6 1
 
0.5%
1.0 1
 
0.5%
1.8 1
 
0.5%
2.5 1
 
0.5%
3.5 1
 
0.5%
3.6 1
 
0.5%
3.8 1
 
0.5%
ValueCountFrequency (%)
30.0 1
0.5%
21.5 1
0.5%
18.1 1
0.5%
16.7 1
0.5%
16.0 1
0.5%
15.2 2
0.9%
15.1 2
0.9%
14.4 1
0.5%
14.3 1
0.5%
14.0 1
0.5%
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
174 
True
45 
ValueCountFrequency (%)
False 174
79.5%
True 45
 
20.5%
2024-03-14T22:55:25.397710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
176 
True
43 
ValueCountFrequency (%)
False 176
80.4%
True 43
 
19.6%
2024-03-14T22:55:25.693073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

테이블 사이의 간격
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9456621
Minimum0
Maximum213
Zeros211
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T22:55:25.998106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum213
Range213
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.486748
Coefficient of variation (CV)5.9525494
Kurtosis49.876902
Mean3.9456621
Median Absolute Deviation (MAD)0
Skewness6.8518746
Sum864.1
Variance551.62735
MonotonicityNot monotonic
2024-03-14T22:55:26.325248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 211
96.3%
213.0 1
 
0.5%
181.1 1
 
0.5%
45.0 1
 
0.5%
92.0 1
 
0.5%
60.0 1
 
0.5%
140.0 1
 
0.5%
28.0 1
 
0.5%
105.0 1
 
0.5%
ValueCountFrequency (%)
0.0 211
96.3%
28.0 1
 
0.5%
45.0 1
 
0.5%
60.0 1
 
0.5%
92.0 1
 
0.5%
105.0 1
 
0.5%
140.0 1
 
0.5%
181.1 1
 
0.5%
213.0 1
 
0.5%
ValueCountFrequency (%)
213.0 1
 
0.5%
181.1 1
 
0.5%
140.0 1
 
0.5%
105.0 1
 
0.5%
92.0 1
 
0.5%
60.0 1
 
0.5%
45.0 1
 
0.5%
28.0 1
 
0.5%
0.0 211
96.3%

테이블 높이
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.903196
Minimum0
Maximum171
Zeros174
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T22:55:26.672438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile75
Maximum171
Range171
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.188866
Coefficient of variation (CV)2.1846421
Kurtosis5.9891545
Mean12.903196
Median Absolute Deviation (MAD)0
Skewness2.3716186
Sum2825.8
Variance794.61215
MonotonicityNot monotonic
2024-03-14T22:55:27.083109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 174
79.5%
75.0 4
 
1.8%
40.0 3
 
1.4%
42.0 3
 
1.4%
44.0 3
 
1.4%
77.0 2
 
0.9%
38.0 2
 
0.9%
60.0 2
 
0.9%
51.0 2
 
0.9%
45.0 2
 
0.9%
Other values (22) 22
 
10.0%
ValueCountFrequency (%)
0.0 174
79.5%
31.0 1
 
0.5%
32.0 1
 
0.5%
36.0 1
 
0.5%
38.0 2
 
0.9%
40.0 3
 
1.4%
42.0 3
 
1.4%
44.0 3
 
1.4%
45.0 2
 
0.9%
46.0 1
 
0.5%
ValueCountFrequency (%)
171.0 1
 
0.5%
110.0 1
 
0.5%
105.0 1
 
0.5%
103.0 1
 
0.5%
101.0 1
 
0.5%
99.0 1
 
0.5%
88.2 1
 
0.5%
84.1 1
 
0.5%
77.0 2
0.9%
75.0 4
1.8%

테이블 폭
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.554338
Minimum0
Maximum267
Zeros174
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T22:55:27.482951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile124
Maximum267
Range267
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47.185801
Coefficient of variation (CV)2.2956615
Kurtosis7.4441421
Mean20.554338
Median Absolute Deviation (MAD)0
Skewness2.6581592
Sum4501.4
Variance2226.4998
MonotonicityNot monotonic
2024-03-14T22:55:27.822313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 174
79.5%
60.0 4
 
1.8%
50.0 3
 
1.4%
124.0 2
 
0.9%
120.0 2
 
0.9%
45.0 2
 
0.9%
75.0 2
 
0.9%
200.0 1
 
0.5%
72.0 1
 
0.5%
79.0 1
 
0.5%
Other values (27) 27
 
12.3%
ValueCountFrequency (%)
0.0 174
79.5%
44.0 1
 
0.5%
45.0 2
 
0.9%
50.0 3
 
1.4%
52.4 1
 
0.5%
54.0 1
 
0.5%
54.5 1
 
0.5%
55.0 1
 
0.5%
60.0 4
 
1.8%
60.5 1
 
0.5%
ValueCountFrequency (%)
267.0 1
0.5%
246.0 1
0.5%
200.0 1
0.5%
193.0 1
0.5%
180.0 1
0.5%
160.0 1
0.5%
154.0 1
0.5%
140.0 1
0.5%
135.0 1
0.5%
127.0 1
0.5%
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
173 
True
46 
ValueCountFrequency (%)
False 173
79.0%
True 46
 
21.0%
2024-03-14T22:55:28.023662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
187 
True
32 
ValueCountFrequency (%)
False 187
85.4%
True 32
 
14.6%
2024-03-14T22:55:28.184643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
191 
True
28 
ValueCountFrequency (%)
False 191
87.2%
True 28
 
12.8%
2024-03-14T22:55:28.352767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
210 
True
 
9
ValueCountFrequency (%)
False 210
95.9%
True 9
 
4.1%
2024-03-14T22:55:28.511463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
True
196 
False
23 
ValueCountFrequency (%)
True 196
89.5%
False 23
 
10.5%
2024-03-14T22:55:28.669759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
210 
True
 
9
ValueCountFrequency (%)
False 210
95.9%
True 9
 
4.1%
2024-03-14T22:55:28.962771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
True
162 
False
57 
ValueCountFrequency (%)
True 162
74.0%
False 57
 
26.0%
2024-03-14T22:55:29.249683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

장애인 화장실 입구 폭
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.761187
Minimum0
Maximum184
Zeros6
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T22:55:29.591864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile60
Q170.5
median76
Q383
95-th percentile97
Maximum184
Range184
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation19.180499
Coefficient of variation (CV)0.24987237
Kurtosis11.310276
Mean76.761187
Median Absolute Deviation (MAD)6
Skewness-0.70577375
Sum16810.7
Variance367.89156
MonotonicityNot monotonic
2024-03-14T22:55:30.040514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70.0 33
 
15.1%
80.0 25
 
11.4%
75.0 14
 
6.4%
72.0 11
 
5.0%
73.0 11
 
5.0%
71.0 8
 
3.7%
83.0 7
 
3.2%
90.0 7
 
3.2%
85.0 6
 
2.7%
78.0 6
 
2.7%
Other values (41) 91
41.6%
ValueCountFrequency (%)
0.0 6
 
2.7%
4.0 1
 
0.5%
55.0 1
 
0.5%
60.0 4
 
1.8%
62.0 3
 
1.4%
66.0 3
 
1.4%
66.7 1
 
0.5%
67.0 3
 
1.4%
70.0 33
15.1%
71.0 8
 
3.7%
ValueCountFrequency (%)
184.0 1
0.5%
140.0 2
0.9%
126.0 1
0.5%
107.0 1
0.5%
104.0 1
0.5%
102.0 1
0.5%
101.0 1
0.5%
100.0 2
0.9%
97.0 2
0.9%
96.0 1
0.5%

장애인 화장실 턱 높이
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.46621
Minimum0
Maximum75
Zeros57
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T22:55:30.445253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.5
Q312
95-th percentile28
Maximum75
Range75
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.473286
Coefficient of variation (CV)1.3551856
Kurtosis11.614842
Mean8.46621
Median Absolute Deviation (MAD)4.5
Skewness2.8943702
Sum1854.1
Variance131.63628
MonotonicityNot monotonic
2024-03-14T22:55:30.866765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 57
26.0%
3.0 18
 
8.2%
4.0 13
 
5.9%
5.0 12
 
5.5%
6.0 9
 
4.1%
10.0 9
 
4.1%
15.0 9
 
4.1%
2.0 9
 
4.1%
20.0 7
 
3.2%
1.0 7
 
3.2%
Other values (31) 69
31.5%
ValueCountFrequency (%)
0.0 57
26.0%
1.0 7
 
3.2%
2.0 9
 
4.1%
3.0 18
 
8.2%
3.5 5
 
2.3%
4.0 13
 
5.9%
4.5 1
 
0.5%
5.0 12
 
5.5%
6.0 9
 
4.1%
7.0 6
 
2.7%
ValueCountFrequency (%)
75.0 1
 
0.5%
70.0 1
 
0.5%
68.0 1
 
0.5%
45.0 2
0.9%
41.0 1
 
0.5%
37.0 1
 
0.5%
34.0 1
 
0.5%
31.0 1
 
0.5%
28.0 3
1.4%
24.0 1
 
0.5%
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
213 
True
 
6
ValueCountFrequency (%)
False 213
97.3%
True 6
 
2.7%
2024-03-14T22:55:31.233437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
218 
True
 
1
ValueCountFrequency (%)
False 218
99.5%
True 1
 
0.5%
2024-03-14T22:55:31.525186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
217 
True
 
2
ValueCountFrequency (%)
False 217
99.1%
True 2
 
0.9%
2024-03-14T22:55:31.814603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

장애인 화장실 가로폭
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3378995
Minimum0
Maximum126
Zeros213
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T22:55:32.104772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum126
Range126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.620112
Coefficient of variation (CV)6.2535246
Kurtosis43.362933
Mean2.3378995
Median Absolute Deviation (MAD)0
Skewness6.5355619
Sum512
Variance213.74769
MonotonicityNot monotonic
2024-03-14T22:55:32.463696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 213
97.3%
79 1
 
0.5%
82 1
 
0.5%
38 1
 
0.5%
90 1
 
0.5%
97 1
 
0.5%
126 1
 
0.5%
ValueCountFrequency (%)
0 213
97.3%
38 1
 
0.5%
79 1
 
0.5%
82 1
 
0.5%
90 1
 
0.5%
97 1
 
0.5%
126 1
 
0.5%
ValueCountFrequency (%)
126 1
 
0.5%
97 1
 
0.5%
90 1
 
0.5%
82 1
 
0.5%
79 1
 
0.5%
38 1
 
0.5%
0 213
97.3%

장애인 화장실 경사면 각도
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.096803653
Minimum0
Maximum8
Zeros213
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T22:55:32.749692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.73449653
Coefficient of variation (CV)7.5874877
Kurtosis77.524773
Mean0.096803653
Median Absolute Deviation (MAD)0
Skewness8.5066717
Sum21.2
Variance0.53948515
MonotonicityNot monotonic
2024-03-14T22:55:32.942061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 213
97.3%
3.8 1
 
0.5%
0.4 1
 
0.5%
0.1 1
 
0.5%
8.0 1
 
0.5%
5.3 1
 
0.5%
3.6 1
 
0.5%
ValueCountFrequency (%)
0.0 213
97.3%
0.1 1
 
0.5%
0.4 1
 
0.5%
3.6 1
 
0.5%
3.8 1
 
0.5%
5.3 1
 
0.5%
8.0 1
 
0.5%
ValueCountFrequency (%)
8.0 1
 
0.5%
5.3 1
 
0.5%
3.8 1
 
0.5%
3.6 1
 
0.5%
0.4 1
 
0.5%
0.1 1
 
0.5%
0.0 213
97.3%

세면대 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
True
206 
False
 
13
ValueCountFrequency (%)
True 206
94.1%
False 13
 
5.9%
2024-03-14T22:55:33.134570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

세면대 밑 공간 높이
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.050685
Minimum0
Maximum88
Zeros20
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T22:55:33.332927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q163.4
median68
Q371.3
95-th percentile77.1
Maximum88
Range88
Interquartile range (IQR)7.9

Descriptive statistics

Standard deviation20.918916
Coefficient of variation (CV)0.33712627
Kurtosis4.4666621
Mean62.050685
Median Absolute Deviation (MAD)4
Skewness-2.3668394
Sum13589.1
Variance437.60104
MonotonicityNot monotonic
2024-03-14T22:55:33.675878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
70.0 39
17.8%
0.0 20
 
9.1%
65.0 17
 
7.8%
68.0 16
 
7.3%
64.0 11
 
5.0%
75.0 11
 
5.0%
77.0 10
 
4.6%
67.0 9
 
4.1%
60.0 9
 
4.1%
73.0 8
 
3.7%
Other values (34) 69
31.5%
ValueCountFrequency (%)
0.0 20
9.1%
15.0 1
 
0.5%
43.0 1
 
0.5%
52.0 1
 
0.5%
54.0 1
 
0.5%
56.0 2
 
0.9%
57.0 1
 
0.5%
58.0 2
 
0.9%
59.0 4
 
1.8%
60.0 9
4.1%
ValueCountFrequency (%)
88.0 1
 
0.5%
87.0 1
 
0.5%
86.1 1
 
0.5%
82.0 1
 
0.5%
81.0 1
 
0.5%
80.0 2
 
0.9%
78.0 4
 
1.8%
77.0 10
4.6%
76.0 4
 
1.8%
75.0 11
5.0%

높이
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.054338
Minimum0
Maximum96
Zeros13
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-14T22:55:34.082650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175
median80
Q382
95-th percentile90
Maximum96
Range96
Interquartile range (IQR)7

Descriptive statistics

Standard deviation19.755968
Coefficient of variation (CV)0.2632222
Kurtosis9.7903509
Mean75.054338
Median Absolute Deviation (MAD)4
Skewness-3.2222413
Sum16436.9
Variance390.29827
MonotonicityNot monotonic
2024-03-14T22:55:34.514379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
80.0 37
16.9%
75.0 16
 
7.3%
78.0 14
 
6.4%
0.0 13
 
5.9%
81.0 13
 
5.9%
79.0 13
 
5.9%
82.0 9
 
4.1%
73.0 8
 
3.7%
70.0 7
 
3.2%
85.0 7
 
3.2%
Other values (38) 82
37.4%
ValueCountFrequency (%)
0.0 13
5.9%
62.0 1
 
0.5%
65.0 1
 
0.5%
65.5 1
 
0.5%
66.0 1
 
0.5%
67.0 1
 
0.5%
68.0 1
 
0.5%
69.0 2
 
0.9%
70.0 7
3.2%
71.0 1
 
0.5%
ValueCountFrequency (%)
96.0 2
 
0.9%
95.0 1
 
0.5%
93.0 1
 
0.5%
92.0 4
1.8%
91.1 1
 
0.5%
90.0 5
2.3%
89.0 5
2.3%
88.0 5
2.3%
87.1 1
 
0.5%
87.0 3
1.4%
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
181 
True
38 
ValueCountFrequency (%)
False 181
82.6%
True 38
 
17.4%
2024-03-14T22:55:34.869598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
183 
True
36 
ValueCountFrequency (%)
False 183
83.6%
True 36
 
16.4%
2024-03-14T22:55:35.164540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

세면대 옆 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
211 
True
 
8
ValueCountFrequency (%)
False 211
96.3%
True 8
 
3.7%
2024-03-14T22:55:35.455586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size347.0 B
False
156 
True
63 
ValueCountFrequency (%)
False 156
71.2%
True 63
28.8%
2024-03-14T22:55:35.745415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

업체명업체 주소미닫이문 유무여닫이문 유무버튼식 자동문 유무회전문 유무기타 기재휠체어 출입가능 유무활동 공간 유무출입구 폭전면 유효거리턱 높이입구 경사 유무손잡이 유무손잡이 점자표기 유무미끄럼 방지판 유무가로폭경사면 각도테이블 유무입식 유무테이블 사이의 간격테이블 높이테이블 폭장애인 주차장 유무장애인 화장실 유무장애인 화장실 남녀 분리 유무장애인 화장실 미닫이문 유무장애인 화장실 여닫이문 유무장애인 화장실 버튼식 자동문 유무장애인 화장실 입구 턱 유무장애인 화장실 입구 폭장애인 화장실 턱 높이장애인 화장실 입구 경사 유무장애인 화장실 손잡이 유무장애인 화장실 미끄럼 방지판 유무장애인 화장실 가로폭장애인 화장실 경사면 각도세면대 유무세면대 밑 공간 높이높이세면대 손잡이 유무변기 옆 유무세면대 옆 유무변기 등받이 유무
0대구의료원대구광역시 서구 평리로 157 (중리동)NYNN<NA>YY174.0360.00.0YNNN420.03.8NN0.00.00.0YYYNNYN88.00.0NNN00.0Y71.080.0YYNN
1제이병원대구광역시 서구 달구벌대로 1677 (내당동)NNYN<NA>YY126.0237.00.0YYYN135.04.6NN0.00.00.0YYYNYNN100.00.0NNN00.0Y76.080.0YYYN
2대구광역시서부노인전문병원대구광역시 서구 와룡로 298-13 (중리동)NYNN<NA>YY182.0345.00.0YNNN520.03.6NN0.00.00.0YYYYNNN83.00.0NNN00.0Y65.078.0YYNN
3박진호속시원내과의원대구광역시 서구 달구벌대로 1691 (내당동)NYYN<NA>YY153.0186.00.0NNNN0.00.0NN0.00.00.0YYYNYNY80.03.0NNN00.0Y0.081.0YYNN
4코코플러스이비인후과의원대구광역시 서구 평리로 243 (중리동)NYNN<NA>YY142.020.02.0NNNN0.00.0NN0.00.00.0NNNNYNY73.03.0NNN00.0Y64.079.0NNNN
5참좋은연합의원대구광역시 서구 평리로 243 (중리동)NYNN<NA>YY142.020.02.0NNNN0.00.0NN0.00.00.0NNNNYNY73.03.0NNN00.0Y64.079.0NNNN
6에스원성형외과의원대구광역시 서구 달구벌대로 1691, 3층 302호 (내당동, 엠프라자)NYYN<NA>YY153.0186.00.0NNNN0.00.0NN0.00.00.0YNNNYNN76.00.0NNN00.0Y15.080.0NNNN
7드림정형외과의원대구광역시 서구 국채보상로 157, 1,2층 (평리동)NYNN<NA>YY180.0190.00.0YNNN176.05.9NN0.00.00.0NNNNYNN70.00.0NNN00.0Y67.079.0NNNN
8소망연합의원대구광역시 서구 국채보상로 151, 201호 (평리동)NYNN<NA>YY195.0310.00.0YNNN210.08.7NN0.00.00.0NNNNYNY70.04.0NNN00.0Y64.075.0NNNN
9이윤정내과의원대구광역시 서구 평리로 236, 내당동 2층 218호 (내당동)NYNN<NA>YY160.080.00.0NNNN0.00.0NN0.00.00.0YNNNYNY74.09.0NNN00.0Y61.073.0NNNN
업체명업체 주소미닫이문 유무여닫이문 유무버튼식 자동문 유무회전문 유무기타 기재휠체어 출입가능 유무활동 공간 유무출입구 폭전면 유효거리턱 높이입구 경사 유무손잡이 유무손잡이 점자표기 유무미끄럼 방지판 유무가로폭경사면 각도테이블 유무입식 유무테이블 사이의 간격테이블 높이테이블 폭장애인 주차장 유무장애인 화장실 유무장애인 화장실 남녀 분리 유무장애인 화장실 미닫이문 유무장애인 화장실 여닫이문 유무장애인 화장실 버튼식 자동문 유무장애인 화장실 입구 턱 유무장애인 화장실 입구 폭장애인 화장실 턱 높이장애인 화장실 입구 경사 유무장애인 화장실 손잡이 유무장애인 화장실 미끄럼 방지판 유무장애인 화장실 가로폭장애인 화장실 경사면 각도세면대 유무세면대 밑 공간 높이높이세면대 손잡이 유무변기 옆 유무세면대 옆 유무변기 등받이 유무
209이현치과의원대구광역시 서구 북비산로 160 (평리동)NNYN<NA>YY159.0350.03.0NNNN0.00.0NN0.00.00.0NNNNYNY87.019.0NNN00.0Y66.076.0NNNN
210윤성치과의원대구광역시 서구 문화로49길 26 (평리동)NYNN<NA>NN165.00.030.0NNNN0.00.0YY0.038.0120.0NNNNYNY82.02.0NNN00.0Y71.078.0NNNN
211서현수치과의원대구광역시 서구 서대구로 195, 3층 (평리동)NNYN<NA>YY180.0620.40.0YNNN180.010.7YY0.040.0100.0NNNNYNY70.02.0NNN00.0Y57.069.0NNNN
212수침한의원대구광역시 서구 북비산로 240, 2층 (평리동)NNYN<NA>YY189.056.00.0YNNN79.021.5YY28.032.0109.0NNNNYNY75.019.0NNN00.0Y67.081.0NNNN
213대찬한의원대구광역시 서구 팔달로 142, 2층 (비산동)NYNN<NA>NN82.00.02.0NNNN0.00.0NN0.00.00.0NNNNYNY62.034.0NNN00.0Y68.079.0NNNN
214제일함바뷔페식당대구광역시 서구 문화로 167, 2층 (평리동)NYNN<NA>NN82.00.016.0NNNN0.00.0YY105.0103.075.0NNNNYNY83.021.0NNN00.0Y70.078.0NNNN
215임성호한의원대구광역시 서구 북비산로 237 (평리동)NYNN<NA>NN90.00.022.0NNNN0.00.0NN0.00.00.0NNNNYNY184.02.0NNN00.0Y65.073.0NNNN
216세광한의원대구광역시 서구 팔달로 138 (비산동)NYNN<NA>NN180.044.015.0NNNN0.00.0NN0.00.00.0NNNNYNY72.05.0NNN00.0Y0.078.0NNNN
217경보한의원대구광역시 서구 서대구로 372 (비산동)NNYN<NA>YY82.0150.00.0YNNN153.05.9NN0.00.00.0YNNNYNY73.08.5NNN00.0Y77.082.0NNNN
218동덕한의원대구광역시 서구 서대구로 349, 3층 (비산동)NNNN자동문YY106.00.00.0NNNN0.00.0NN0.00.00.0NYYNNYN90.00.0NNN00.0N0.00.0YYNY