Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory742.2 KiB
Average record size in memory76.0 B

Variable types

Categorical3
Text1
Numeric4

Dataset

Description2022년 기준 국내에 설치되어 운행중인 승강기는 811,602대입니다. 한국승강기안전공단에서는 승강기 관련 종합정보전산망을 구축하여 승강기에 대한 종합정보와 사고 등의 각종 이력관리 및 승강기관련 각종 통계자료를 제공하고 있습니다.
Author한국승강기안전공단
URLhttps://www.data.go.kr/data/15017366/fileData.do

Alerts

건물층수 is highly overall correlated with 운행층수 and 1 other fieldsHigh correlation
운행층수 is highly overall correlated with 건물층수 and 1 other fieldsHigh correlation
정격속도(m/s) is highly overall correlated with 건물층수 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 05:35:40.551896
Analysis finished2023-12-12 05:35:44.471217
Duration3.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

Distinct44
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기 부천시
835 
경기 남양주시
 
621
경기 시흥시
 
573
경기 광주시
 
513
경기 성남시 분당구
 
512
Other values (39)
6946 

Length

Max length11
Median length10
Mean length7.8549
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기 수원시 장안구
2nd row경기 수원시 팔달구
3rd row경기 안양시 만안구
4th row경기 시흥시
5th row경기 부천시

Common Values

ValueCountFrequency (%)
경기 부천시 835
 
8.3%
경기 남양주시 621
 
6.2%
경기 시흥시 573
 
5.7%
경기 광주시 513
 
5.1%
경기 성남시 분당구 512
 
5.1%
경기 고양시 덕양구 471
 
4.7%
경기 수원시 권선구 437
 
4.4%
경기 김포시 411
 
4.1%
경기 수원시 영통구 405
 
4.0%
강원 원주시 376
 
3.8%
Other values (34) 4846
48.5%

Length

2023-12-12T14:35:44.554766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 8479
34.8%
강원 1521
 
6.2%
수원시 1365
 
5.6%
성남시 953
 
3.9%
고양시 944
 
3.9%
부천시 835
 
3.4%
남양주시 621
 
2.6%
안산시 601
 
2.5%
시흥시 573
 
2.4%
광주시 513
 
2.1%
Other values (41) 7939
32.6%

건물명
Text

Distinct8718
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:35:44.923981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length7.5906
Min length2

Characters and Unicode

Total characters75906
Distinct characters790
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7757 ?
Unique (%)77.6%

Sample

1st row기쁜소식수원교회
2nd row한국철도공사분당선-매교역
3rd row마르빌빌리지
4th row다빈공업(주)
5th row준영빌딩
ValueCountFrequency (%)
a동 27
 
0.2%
b동 24
 
0.2%
101동 22
 
0.2%
103동 19
 
0.2%
104동 18
 
0.2%
더 16
 
0.1%
e편한세상 15
 
0.1%
102동 14
 
0.1%
오피스텔 14
 
0.1%
힐스테이트 13
 
0.1%
Other values (9247) 11151
98.4%
2023-12-12T14:35:45.466825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
빌 1920
 
2.5%
트 1873
 
2.5%
아 1820
 
2.4%
동 1791
 
2.4%
스 1772
 
2.3%
파 1488
 
2.0%
1 1388
 
1.8%
1355
 
1.8%
지 1250
 
1.6%
이 1131
 
1.5%
Other values (780) 60118
79.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64557
85.0%
Decimal Number 5232
 
6.9%
Uppercase Letter 1920
 
2.5%
Space Separator 1355
 
1.8%
Close Punctuation 797
 
1.0%
Open Punctuation 797
 
1.0%
Dash Punctuation 734
 
1.0%
Lowercase Letter 283
 
0.4%
Other Punctuation 194
 
0.3%
Connector Punctuation 25
 
< 0.1%
Other values (3) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
빌 1920
 
3.0%
트 1873
 
2.9%
아 1820
 
2.8%
동 1791
 
2.8%
스 1772
 
2.7%
파 1488
 
2.3%
지 1250
 
1.9%
이 1131
 
1.8%
원 1094
 
1.7%
주 1090
 
1.7%
Other values (703) 49328
76.4%
Uppercase Letter
ValueCountFrequency (%)
A 202
 
10.5%
B 152
 
7.9%
S 151
 
7.9%
C 139
 
7.2%
K 128
 
6.7%
L 124
 
6.5%
H 116
 
6.0%
I 95
 
4.9%
R 89
 
4.6%
T 89
 
4.6%
Other values (16) 635
33.1%
Lowercase Letter
ValueCountFrequency (%)
e 99
35.0%
a 22
 
7.8%
o 20
 
7.1%
i 16
 
5.7%
l 15
 
5.3%
t 15
 
5.3%
r 15
 
5.3%
s 14
 
4.9%
u 10
 
3.5%
w 10
 
3.5%
Other values (13) 47
16.6%
Decimal Number
ValueCountFrequency (%)
1 1388
26.5%
2 904
17.3%
3 565
10.8%
0 546
 
10.4%
4 403
 
7.7%
6 346
 
6.6%
5 345
 
6.6%
8 272
 
5.2%
7 268
 
5.1%
9 195
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 78
40.2%
/ 50
25.8%
& 30
 
15.5%
. 29
 
14.9%
# 5
 
2.6%
· 2
 
1.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
60.0%
Ⅰ 3
30.0%
Ⅲ 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 796
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 796
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1355
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 734
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 25
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64557
85.0%
Common 9135
 
12.0%
Latin 2213
 
2.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
빌 1920
 
3.0%
트 1873
 
2.9%
아 1820
 
2.8%
동 1791
 
2.8%
스 1772
 
2.7%
파 1488
 
2.3%
지 1250
 
1.9%
이 1131
 
1.8%
원 1094
 
1.7%
주 1090
 
1.7%
Other values (703) 49328
76.4%
Latin
ValueCountFrequency (%)
A 202
 
9.1%
B 152
 
6.9%
S 151
 
6.8%
C 139
 
6.3%
K 128
 
5.8%
L 124
 
5.6%
H 116
 
5.2%
e 99
 
4.5%
I 95
 
4.3%
R 89
 
4.0%
Other values (42) 918
41.5%
Common
ValueCountFrequency (%)
1 1388
15.2%
1355
14.8%
2 904
9.9%
) 796
8.7%
( 796
8.7%
- 734
8.0%
3 565
6.2%
0 546
 
6.0%
4 403
 
4.4%
6 346
 
3.8%
Other values (14) 1302
14.3%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64556
85.0%
ASCII 11336
 
14.9%
Number Forms 10
 
< 0.1%
None 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
빌 1920
 
3.0%
트 1873
 
2.9%
아 1820
 
2.8%
동 1791
 
2.8%
스 1772
 
2.7%
파 1488
 
2.3%
지 1250
 
1.9%
이 1131
 
1.8%
원 1094
 
1.7%
주 1090
 
1.7%
Other values (702) 49327
76.4%
ASCII
ValueCountFrequency (%)
1 1388
 
12.2%
1355
 
12.0%
2 904
 
8.0%
) 796
 
7.0%
( 796
 
7.0%
- 734
 
6.5%
3 565
 
5.0%
0 546
 
4.8%
4 403
 
3.6%
6 346
 
3.1%
Other values (62) 3503
30.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
60.0%
Ⅰ 3
30.0%
Ⅲ 1
 
10.0%
None
ValueCountFrequency (%)
· 2
66.7%
㈜ 1
33.3%
CJK
ValueCountFrequency (%)
家 1
100.0%

건물층수
Real number (ℝ)

HIGH CORRELATION 

Distinct54
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2795
Minimum0
Maximum66
Zeros54
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:35:45.631488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median5
Q38
95-th percentile20
Maximum66
Range66
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.4261426
Coefficient of variation (CV)0.88277253
Kurtosis8.6664683
Mean7.2795
Median Absolute Deviation (MAD)2
Skewness2.4591389
Sum72795
Variance41.295309
MonotonicityNot monotonic
2023-12-12T14:35:45.827721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2351
23.5%
5 1981
19.8%
3 947
9.5%
6 649
 
6.5%
2 616
 
6.2%
7 401
 
4.0%
15 317
 
3.2%
8 298
 
3.0%
1 294
 
2.9%
10 250
 
2.5%
Other values (44) 1896
19.0%
ValueCountFrequency (%)
0 54
 
0.5%
1 294
 
2.9%
2 616
 
6.2%
3 947
9.5%
4 2351
23.5%
5 1981
19.8%
6 649
 
6.5%
7 401
 
4.0%
8 298
 
3.0%
9 211
 
2.1%
ValueCountFrequency (%)
66 1
 
< 0.1%
59 1
 
< 0.1%
57 3
< 0.1%
55 2
 
< 0.1%
54 2
 
< 0.1%
49 7
0.1%
48 5
0.1%
47 2
 
< 0.1%
46 2
 
< 0.1%
45 3
< 0.1%

운행층수
Real number (ℝ)

HIGH CORRELATION 

Distinct158
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.71344
Minimum0
Maximum60
Zeros22
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:35:45.964367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median5
Q39
95-th percentile22
Maximum60
Range60
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.6307353
Coefficient of variation (CV)0.85963401
Kurtosis7.1537142
Mean7.71344
Median Absolute Deviation (MAD)2
Skewness2.2940789
Sum77134.4
Variance43.966651
MonotonicityNot monotonic
2023-12-12T14:35:46.385312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.0 2121
21.2%
5.0 1932
19.3%
3.0 854
8.5%
2.0 802
 
8.0%
6.0 789
 
7.9%
7.0 411
 
4.1%
8.0 269
 
2.7%
9.0 243
 
2.4%
15.0 235
 
2.4%
10.0 220
 
2.2%
Other values (148) 2124
21.2%
ValueCountFrequency (%)
0.0 22
0.2%
0.6 1
 
< 0.1%
0.74 1
 
< 0.1%
0.75 1
 
< 0.1%
0.76 1
 
< 0.1%
0.89 1
 
< 0.1%
0.92 1
 
< 0.1%
1.0 9
0.1%
1.1 1
 
< 0.1%
1.3 1
 
< 0.1%
ValueCountFrequency (%)
60.0 1
 
< 0.1%
59.0 3
< 0.1%
52.0 4
< 0.1%
51.0 5
0.1%
50.0 6
0.1%
49.0 1
 
< 0.1%
48.0 2
 
< 0.1%
46.0 2
 
< 0.1%
45.0 1
 
< 0.1%
44.0 1
 
< 0.1%

승강기종류
Categorical

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승객용
4169 
장애인용
2741 
소방구조/장애인용
859 
화물용
418 
자동차용
 
265
Other values (22)
1548 

Length

Max length12
Median length11
Mean length4.2665
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row장애인용
2nd row에스컬레이터
3rd row승객용
4th row승객용
5th row승객용

Common Values

ValueCountFrequency (%)
승객용 4169
41.7%
장애인용 2741
27.4%
소방구조/장애인용 859
 
8.6%
화물용 418
 
4.2%
자동차용 265
 
2.6%
소방구조용 220
 
2.2%
에스컬레이터 192
 
1.9%
장애/전망용 165
 
1.7%
승객화물용 127
 
1.3%
덤웨이터 122
 
1.2%
Other values (17) 722
 
7.2%

Length

2023-12-12T14:35:46.512461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승객용 4169
41.7%
장애인용 2741
27.4%
소방구조/장애인용 859
 
8.6%
화물용 418
 
4.2%
자동차용 265
 
2.6%
소방구조용 220
 
2.2%
에스컬레이터 192
 
1.9%
장애/전망용 165
 
1.7%
승객화물용 127
 
1.3%
덤웨이터 122
 
1.2%
Other values (17) 722
 
7.2%

건물용도(대)
Categorical

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공동주택
3230 
제2종근린생활시설
1558 
단독주택
1036 
제1종근린생활시설
698 
공장
682 
Other values (25)
2796 

Length

Max length10
Median length4
Mean length5.2244
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row문화및집회시설
2nd row제2종근린생활시설
3rd row공동주택
4th row공장
5th row제2종근린생활시설

Common Values

ValueCountFrequency (%)
공동주택 3230
32.3%
제2종근린생활시설 1558
15.6%
단독주택 1036
 
10.4%
제1종근린생활시설 698
 
7.0%
공장 682
 
6.8%
교육연구시설 659
 
6.6%
업무시설 577
 
5.8%
숙박시설 337
 
3.4%
판매시설 243
 
2.4%
문화및집회시설 151
 
1.5%
Other values (20) 829
 
8.3%

Length

2023-12-12T14:35:46.640538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공동주택 3230
32.3%
제2종근린생활시설 1558
15.6%
단독주택 1036
 
10.4%
제1종근린생활시설 698
 
7.0%
공장 682
 
6.8%
교육연구시설 659
 
6.6%
업무시설 577
 
5.8%
숙박시설 337
 
3.4%
판매시설 243
 
2.4%
문화및집회시설 151
 
1.5%
Other values (20) 829
 
8.3%

정격속도(m/s)
Real number (ℝ)

HIGH CORRELATION 

Distinct57
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0959206
Minimum0.03
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:35:46.798373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.33
Q11
median1
Q31
95-th percentile1.75
Maximum30
Range29.97
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.51975991
Coefficient of variation (CV)0.47426785
Kurtosis958.67294
Mean1.0959206
Median Absolute Deviation (MAD)0
Skewness17.986288
Sum10959.206
Variance0.27015037
MonotonicityNot monotonic
2023-12-12T14:35:46.934824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 6339
63.4%
1.5 1274
 
12.7%
1.75 729
 
7.3%
0.5 483
 
4.8%
0.33 351
 
3.5%
2.0 251
 
2.5%
0.75 139
 
1.4%
0.42 68
 
0.7%
2.5 56
 
0.6%
0.25 43
 
0.4%
Other values (47) 267
 
2.7%
ValueCountFrequency (%)
0.03 11
0.1%
0.033 1
 
< 0.1%
0.035 2
 
< 0.1%
0.04 12
0.1%
0.06 3
 
< 0.1%
0.07 4
 
< 0.1%
0.08 7
0.1%
0.1 12
0.1%
0.11 1
 
< 0.1%
0.12 6
0.1%
ValueCountFrequency (%)
30.0 1
 
< 0.1%
5.0 1
 
< 0.1%
4.0 18
 
0.2%
3.5 21
 
0.2%
3.0 20
 
0.2%
2.5 56
 
0.6%
2.0 251
 
2.5%
1.75 729
 
7.3%
1.5 1274
 
12.7%
1.0 6339
63.4%

대수
Real number (ℝ)

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6088
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:35:47.113710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum80
Range79
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.2517703
Coefficient of variation (CV)1.3996583
Kurtosis231.93407
Mean1.6088
Median Absolute Deviation (MAD)0
Skewness11.10734
Sum16088
Variance5.0704696
MonotonicityNot monotonic
2023-12-12T14:35:47.256089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 7809
78.1%
2 1274
 
12.7%
3 249
 
2.5%
4 242
 
2.4%
6 94
 
0.9%
5 88
 
0.9%
8 61
 
0.6%
7 34
 
0.3%
9 24
 
0.2%
10 20
 
0.2%
Other values (22) 105
 
1.1%
ValueCountFrequency (%)
1 7809
78.1%
2 1274
 
12.7%
3 249
 
2.5%
4 242
 
2.4%
5 88
 
0.9%
6 94
 
0.9%
7 34
 
0.3%
8 61
 
0.6%
9 24
 
0.2%
10 20
 
0.2%
ValueCountFrequency (%)
80 1
 
< 0.1%
54 1
 
< 0.1%
44 1
 
< 0.1%
42 1
 
< 0.1%
31 1
 
< 0.1%
28 3
< 0.1%
27 1
 
< 0.1%
25 2
< 0.1%
24 4
< 0.1%
23 4
< 0.1%

Interactions

2023-12-12T14:35:43.598640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:42.009581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:42.522895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:43.057205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:43.739548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:42.126100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:42.646381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:43.176845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:43.881458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:42.254116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:42.777200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:43.311557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:44.021926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:42.388312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:42.916265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:43.450204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:35:47.357912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역건물층수운행층수승강기종류건물용도(대)정격속도(m/s)대수
지역1.0000.2580.2600.3010.5010.1420.000
건물층수0.2581.0000.9580.6380.5060.6750.192
운행층수0.2600.9581.0000.6690.5200.6390.164
승강기종류0.3010.6380.6691.0000.7170.3750.092
건물용도(대)0.5010.5060.5200.7171.0000.0970.093
정격속도(m/s)0.1420.6750.6390.3750.0971.0000.046
대수0.0000.1920.1640.0920.0930.0461.000
2023-12-12T14:35:47.492124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
승강기종류건물용도(대)지역
승강기종류1.0000.2410.070
건물용도(대)0.2411.0000.123
지역0.0700.1231.000
2023-12-12T14:35:47.603280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물층수운행층수정격속도(m/s)대수지역승강기종류건물용도(대)
건물층수1.0000.8720.6080.3660.0910.2890.184
운행층수0.8721.0000.6840.3800.0860.3100.181
정격속도(m/s)0.6080.6841.0000.2590.0690.1870.044
대수0.3660.3800.2591.0000.0000.0380.039
지역0.0910.0860.0690.0001.0000.0700.123
승강기종류0.2890.3100.1870.0380.0701.0000.241
건물용도(대)0.1840.1810.0440.0390.1230.2411.000

Missing values

2023-12-12T14:35:44.206705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:35:44.382654image/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.

Sample

지역건물명건물층수운행층수승강기종류건물용도(대)정격속도(m/s)대수
72534경기 수원시 장안구기쁜소식수원교회45.0장애인용문화및집회시설1.01
77018경기 수원시 팔달구한국철도공사분당선-매교역10.0에스컬레이터제2종근린생활시설0.421
93839경기 안양시 만안구마르빌빌리지55.0승객용공동주택1.02
78160경기 시흥시다빈공업(주)33.0승객용공장1.01
53786경기 부천시준영빌딩55.0승객용제2종근린생활시설1.03
57296경기 성남시 분당구삼성코아상가57.0승객용제2종근린생활시설1.01
7552강원 원주시원주교회55.0장애인용종교시설1.01
87887경기 안산시 상록구지유펠리체55.0승객용공동주택1.03
42956경기 남양주시별내고등학교52.0수직형휠체어리프트교육연구시설0.031
60942경기 성남시 수정구상적동190-3834.0승객용제2종근린생활시설1.01
지역건물명건물층수운행층수승강기종류건물용도(대)정격속도(m/s)대수
15904경기 고양시 덕양구능곡역프라자68.0승객용제1종근린생활시설1.01
74074경기 수원시 장안구진명빌딩45.0장애인용제2종근린생활시설1.01
3620강원 삼척시오렌지카운티노인요양원55.0장애/병원용노유자시설1.01
31425경기 광주시훼미리하우스202동44.0승객용공동주택1.01
4104강원 속초시서울대명1차아파트1515.0승객용공동주택1.02
31074경기 광주시프리미엄뷰 105동44.0승객용공동주택1.01
91893경기 안양시 동안구신용보증기금68.0장애인용업무시설1.51
57663경기 성남시 분당구송림프라자56.0승객용제2종근린생활시설1.01
51060경기 부천시상인초등학교56.0장애인용교육연구시설1.01
1149강원 강릉시바다부채길펜션44.0승객용단독주택1.01