Overview

Dataset statistics

Number of variables9
Number of observations177
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.6 KiB
Average record size in memory78.7 B

Variable types

Numeric6
Text1
Categorical2

Dataset

Description연번,서ㆍ센터ID,서ㆍ센터명,유형구분명,도서지역포함여부,상위서ㆍ센터ID,일련번호,X좌표,Y좌표
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21072/S/1/datasetView.do

Alerts

도서지역포함여부 has constant value ""Constant
서ㆍ센터ID is highly overall correlated with 상위서ㆍ센터IDHigh correlation
상위서ㆍ센터ID is highly overall correlated with 서ㆍ센터ID and 1 other fieldsHigh correlation
유형구분명 is highly overall correlated with 상위서ㆍ센터IDHigh correlation
연번 has unique valuesUnique
서ㆍ센터ID has unique valuesUnique
일련번호 has unique valuesUnique
X좌표 has unique valuesUnique
Y좌표 has unique valuesUnique

Reproduction

Analysis started2024-05-03 20:26:00.377375
Analysis finished2024-05-03 20:26:14.910071
Duration14.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct177
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89
Minimum1
Maximum177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-03T20:26:15.137408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.8
Q145
median89
Q3133
95-th percentile168.2
Maximum177
Range176
Interquartile range (IQR)88

Descriptive statistics

Standard deviation51.239633
Coefficient of variation (CV)0.57572621
Kurtosis-1.2
Mean89
Median Absolute Deviation (MAD)44
Skewness0
Sum15753
Variance2625.5
MonotonicityStrictly increasing
2024-05-03T20:26:15.800266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
134 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
Other values (167) 167
94.4%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%

서ㆍ센터ID
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct177
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1113941.5
Minimum1100106
Maximum1127402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-03T20:26:16.515592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1100106
5-th percentile1102103.8
Q11108000
median1114106
Q31120000
95-th percentile1126306.2
Maximum1127402
Range27296
Interquartile range (IQR)12000

Descriptive statistics

Standard deviation7473.5318
Coefficient of variation (CV)0.0067090885
Kurtosis-1.0173912
Mean1113941.5
Median Absolute Deviation (MAD)6001
Skewness-0.017479893
Sum1.9716764 × 108
Variance55853677
MonotonicityNot monotonic
2024-05-03T20:26:17.152833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1116000 1
 
0.6%
1118106 1
 
0.6%
1121000 1
 
0.6%
1100212 1
 
0.6%
1126305 1
 
0.6%
1100211 1
 
0.6%
1100213 1
 
0.6%
1127301 1
 
0.6%
1105107 1
 
0.6%
1127302 1
 
0.6%
Other values (167) 167
94.4%
ValueCountFrequency (%)
1100106 1
0.6%
1100211 1
0.6%
1100212 1
0.6%
1100213 1
0.6%
1100512 1
0.6%
1102000 1
0.6%
1102101 1
0.6%
1102102 1
0.6%
1102103 1
0.6%
1102104 1
0.6%
ValueCountFrequency (%)
1127402 1
0.6%
1127401 1
0.6%
1127303 1
0.6%
1127302 1
0.6%
1127301 1
0.6%
1127000 1
0.6%
1126503 1
0.6%
1126502 1
0.6%
1126307 1
0.6%
1126306 1
0.6%

서ㆍ센터명
Text

Distinct155
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-03T20:26:17.986755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length7.7118644
Min length3

Characters and Unicode

Total characters1365
Distinct characters150
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

Unique153 ?
Unique (%)86.4%

Sample

1st row관악소방서
2nd row영동119안전센터
3rd row관악119안전센터
4th row시흥119안전센터
5th row방배119안전센터
ValueCountFrequency (%)
구조대 22
 
12.4%
119구조대 2
 
1.1%
미아119안전센터 1
 
0.6%
성수119안전센터 1
 
0.6%
북한산산악구조대 1
 
0.6%
본부현장대응단 1
 
0.6%
세곡119안전센터 1
 
0.6%
행당119안전센터 1
 
0.6%
반포수난구조대 1
 
0.6%
도봉산산악구조대 1
 
0.6%
Other values (145) 145
81.9%
2024-05-03T20:26:19.433580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 244
17.9%
9 122
 
8.9%
전 120
 
8.8%
안 120
 
8.8%
터 119
 
8.7%
센 119
 
8.7%
대 37
 
2.7%
구 35
 
2.6%
조 32
 
2.3%
서 31
 
2.3%
Other values (140) 386
28.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 999
73.2%
Decimal Number 366
 
26.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 120
 
12.0%
안 120
 
12.0%
터 119
 
11.9%
센 119
 
11.9%
대 37
 
3.7%
구 35
 
3.5%
조 32
 
3.2%
서 31
 
3.1%
방 29
 
2.9%
소 25
 
2.5%
Other values (138) 332
33.2%
Decimal Number
ValueCountFrequency (%)
1 244
66.7%
9 122
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 999
73.2%
Common 366
 
26.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 120
 
12.0%
안 120
 
12.0%
터 119
 
11.9%
센 119
 
11.9%
대 37
 
3.7%
구 35
 
3.5%
조 32
 
3.2%
서 31
 
3.1%
방 29
 
2.9%
소 25
 
2.5%
Other values (138) 332
33.2%
Common
ValueCountFrequency (%)
1 244
66.7%
9 122
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 999
73.2%
ASCII 366
 
26.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 244
66.7%
9 122
33.3%
Hangul
ValueCountFrequency (%)
전 120
 
12.0%
안 120
 
12.0%
터 119
 
11.9%
센 119
 
11.9%
대 37
 
3.7%
구 35
 
3.5%
조 32
 
3.2%
서 31
 
3.1%
방 29
 
2.9%
소 25
 
2.5%
Other values (138) 332
33.2%

유형구분명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
안전센터/구조대
153 
소방서
24 

Length

Max length8
Median length8
Mean length7.3220339
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row소방서
2nd row안전센터/구조대
3rd row안전센터/구조대
4th row안전센터/구조대
5th row안전센터/구조대

Common Values

ValueCountFrequency (%)
안전센터/구조대 153
86.4%
소방서 24
 
13.6%

Length

2024-05-03T20:26:20.097501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:26:20.606650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전센터/구조대 153
86.4%
소방서 24
 
13.6%

도서지역포함여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
177 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
177
100.0%

Length

2024-05-03T20:26:21.051701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:26:21.773042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

상위서ㆍ센터ID
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1111581.9
Minimum1100000
Maximum1127000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-03T20:26:22.336524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1100000
5-th percentile1100000
Q11104000
median1112000
Q31119000
95-th percentile1125000
Maximum1127000
Range27000
Interquartile range (IQR)15000

Descriptive statistics

Standard deviation8296.0362
Coefficient of variation (CV)0.0074632702
Kurtosis-1.1845458
Mean1111581.9
Median Absolute Deviation (MAD)7000
Skewness0.081159432
Sum1.9675 × 108
Variance68824217
MonotonicityNot monotonic
2024-05-03T20:26:22.965029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1100000 30
 
16.9%
1119000 9
 
5.1%
1113000 7
 
4.0%
1117000 7
 
4.0%
1115000 7
 
4.0%
1103000 7
 
4.0%
1108000 7
 
4.0%
1118000 7
 
4.0%
1114000 7
 
4.0%
1120000 7
 
4.0%
Other values (16) 82
46.3%
ValueCountFrequency (%)
1100000 30
16.9%
1102000 5
 
2.8%
1103000 7
 
4.0%
1104000 5
 
2.8%
1105000 5
 
2.8%
1106000 6
 
3.4%
1107000 6
 
3.4%
1108000 7
 
4.0%
1109000 5
 
2.8%
1110000 5
 
2.8%
ValueCountFrequency (%)
1127000 5
2.8%
1126000 3
 
1.7%
1125000 5
2.8%
1123000 5
2.8%
1122000 5
2.8%
1121000 6
3.4%
1120000 7
4.0%
1119000 9
5.1%
1118000 7
4.0%
1117000 7
4.0%

일련번호
Real number (ℝ)

UNIQUE 

Distinct177
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89
Minimum1
Maximum177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-03T20:26:23.480939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.8
Q145
median89
Q3133
95-th percentile168.2
Maximum177
Range176
Interquartile range (IQR)88

Descriptive statistics

Standard deviation51.239633
Coefficient of variation (CV)0.57572621
Kurtosis-1.2
Mean89
Median Absolute Deviation (MAD)44
Skewness0
Sum15753
Variance2625.5
MonotonicityNot monotonic
2024-05-03T20:26:23.885942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43 1
 
0.6%
176 1
 
0.6%
156 1
 
0.6%
157 1
 
0.6%
158 1
 
0.6%
159 1
 
0.6%
160 1
 
0.6%
161 1
 
0.6%
162 1
 
0.6%
163 1
 
0.6%
Other values (167) 167
94.4%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%

X좌표
Real number (ℝ)

UNIQUE 

Distinct177
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199211.84
Minimum181216.8
Maximum215876.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-03T20:26:24.611728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum181216.8
5-th percentile186770.95
Q1192920.23
median199560.75
Q3205140.28
95-th percentile211416.02
Maximum215876.13
Range34659.333
Interquartile range (IQR)12220.057

Descriptive statistics

Standard deviation7665.5859
Coefficient of variation (CV)0.038479569
Kurtosis-0.79011389
Mean199211.84
Median Absolute Deviation (MAD)6282.951
Skewness-0.12565278
Sum35260496
Variance58761207
MonotonicityNot monotonic
2024-05-03T20:26:25.100937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195785.50152 1
 
0.6%
215876.128779 1
 
0.6%
188708.935882 1
 
0.6%
194994.665719 1
 
0.6%
198175.282415 1
 
0.6%
203074.046656 1
 
0.6%
195129.5919 1
 
0.6%
205362.468104 1
 
0.6%
207654.218093 1
 
0.6%
203136.056917 1
 
0.6%
Other values (167) 167
94.4%
ValueCountFrequency (%)
181216.795568 1
0.6%
182606.229718 1
0.6%
183596.698667 1
0.6%
184158.529106 1
0.6%
184928.501118 1
0.6%
185250.497673 1
0.6%
185588.494 1
0.6%
186322.63379 1
0.6%
186559.884642 1
0.6%
186823.715234 1
0.6%
ValueCountFrequency (%)
215876.128779 1
0.6%
213433.650253 1
0.6%
213423.652215 1
0.6%
212759.620217 1
0.6%
212614.459192 1
0.6%
212608.797541 1
0.6%
212603.372133 1
0.6%
212076.601 1
0.6%
211611.030868 1
0.6%
211367.262365 1
0.6%

Y좌표
Real number (ℝ)

UNIQUE 

Distinct177
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean550417.47
Minimum538802.57
Maximum565427.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-03T20:26:25.513570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum538802.57
5-th percentile541768.59
Q1545650.85
median550240.67
Q3553702.71
95-th percentile560272.06
Maximum565427.99
Range26625.42
Interquartile range (IQR)8051.8612

Descriptive statistics

Standard deviation5805.2176
Coefficient of variation (CV)0.010546936
Kurtosis-0.41214938
Mean550417.47
Median Absolute Deviation (MAD)4218.7548
Skewness0.41636178
Sum97423892
Variance33700551
MonotonicityNot monotonic
2024-05-03T20:26:26.001924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
541613.179889 1
 
0.6%
550883.694238 1
 
0.6%
547859.288574 1
 
0.6%
560097.888963 1
 
0.6%
545201.810745 1
 
0.6%
565427.99142 1
 
0.6%
539763.996002 1
 
0.6%
548633.010661 1
 
0.6%
551938.090568 1
 
0.6%
551389.954027 1
 
0.6%
Other values (167) 167
94.4%
ValueCountFrequency (%)
538802.571413 1
0.6%
539763.996002 1
0.6%
540948.686163 1
0.6%
541114.323624 1
0.6%
541229.377681 1
0.6%
541603.890006 1
0.6%
541613.179889 1
0.6%
541621.210326 1
0.6%
541694.956875 1
0.6%
541787.001 1
0.6%
ValueCountFrequency (%)
565427.99142 1
0.6%
565323.0406 1
0.6%
564450.212535 1
0.6%
562723.214319 1
0.6%
562711.422384 1
0.6%
562701.15355 1
0.6%
561714.886221 1
0.6%
560953.287 1
0.6%
560793.12 1
0.6%
560141.801092 1
0.6%

Interactions

2024-05-03T20:26:12.002012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:01.051522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:03.231553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:05.299470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:07.374434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:09.466209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:12.446724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:01.411329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:03.598834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:05.670049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:07.712548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:09.864697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:12.792035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:01.720781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:03.927916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:05.939632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:08.131266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:10.350453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:13.142548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:02.021048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:04.277132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:06.339252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:08.408693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:10.739351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:13.530277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:02.599282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:04.621021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:06.741477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:08.712878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:11.142955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:13.905415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:02.891590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:05.005850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:07.062545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:09.070195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T20:26:11.653964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-03T20:26:26.290747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번서ㆍ센터ID유형구분명상위서ㆍ센터ID일련번호X좌표Y좌표
연번1.0000.7000.0000.6890.9670.5390.586
서ㆍ센터ID0.7001.0000.0000.9990.6930.8070.829
유형구분명0.0000.0001.000NaN0.0000.0000.000
상위서ㆍ센터ID0.6890.999NaN1.0000.6990.8160.842
일련번호0.9670.6930.0000.6991.0000.6650.646
X좌표0.5390.8070.0000.8160.6651.0000.459
Y좌표0.5860.8290.0000.8420.6460.4591.000
2024-05-03T20:26:26.611635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번서ㆍ센터ID상위서ㆍ센터ID일련번호X좌표Y좌표유형구분명
연번1.000-0.007-0.038-0.0990.3250.3150.000
서ㆍ센터ID-0.0071.0000.724-0.1060.012-0.1010.000
상위서ㆍ센터ID-0.0380.7241.000-0.150-0.009-0.0770.767
일련번호-0.099-0.106-0.1501.0000.1290.0890.000
X좌표0.3250.012-0.0090.1291.0000.1860.000
Y좌표0.315-0.101-0.0770.0890.1861.0000.000
유형구분명0.0000.0000.7670.0000.0000.0001.000

Missing values

2024-05-03T20:26:14.298226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-03T20:26:14.753335image/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

연번서ㆍ센터ID서ㆍ센터명유형구분명도서지역포함여부상위서ㆍ센터ID일련번호X좌표Y좌표
011116000관악소방서소방서110000043195785.50152541613.179889
121114103영동119안전센터안전센터/구조대111400044203265.811458546962.399786
231116401관악119안전센터안전센터/구조대111600045195784.878412541621.210326
341119106시흥119안전센터안전센터/구조대111900046191196.721148538802.571413
451115102방배119안전센터안전센터/구조대111500047198957.096541787.001
561115105잠원119안전센터안전센터/구조대111500048201028.564544400.945
671116402구조대안전센터/구조대111600049195787.34536541603.890006
781116104난곡119안전센터안전센터/구조대111600050192577.709214541810.021306
891119105독산119안전센터안전센터/구조대111900051190995.083363540948.686163
9101103106신영119안전센터안전센터/구조대110300052196541.317287556245.859267
연번서ㆍ센터ID서ㆍ센터명유형구분명도서지역포함여부상위서ㆍ센터ID일련번호X좌표Y좌표
1671681118201구조대안전센터/구조대111800033211050.113382547757.015008
1681691110106도봉119안전센터안전센터/구조대111000034203608.2024565323.0406
1691701122104중화119안전센터안전센터/구조대112200035207004.399555658.693
1701711109103길음119안전센터안전센터/구조대110900036201690.034555917.924
1711721109104장위119안전센터안전센터/구조대110900037205140.282775557337.141595
1721731125102우이119안전센터안전센터/구조대112500038201461.941319560141.801092
1731741125103미아119안전센터안전센터/구조대112500039202500.723258557825.97995
1741751111000노원소방서소방서110000040206278.710106559835.894278
1751761110000도봉소방서소방서110000041203797.4045562711.422384
1761771111102상계119안전센터안전센터/구조대111100042206323.823561714.886221