Overview

Dataset statistics

Number of variables6
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory57.1 B

Variable types

Text1
Numeric5

Dataset

Description서울특별시 영등포구 반려동물등록현황입니다.제공자료: 읍면동(법정동), RFID종류별(내장형, 외장형, 인식표), 동물등록수, 동물소유자수
Author서울특별시 영등포구
URLhttps://www.data.go.kr/data/15040372/fileData.do

Alerts

내장형 무선식별(RFID) is highly overall correlated with 외장형 무선식별(RFID) and 3 other fieldsHigh correlation
외장형 무선식별(RFID) is highly overall correlated with 내장형 무선식별(RFID) and 3 other fieldsHigh correlation
인식표 무선식별(RFID) is highly overall correlated with 내장형 무선식별(RFID) and 3 other fieldsHigh correlation
동물등록수합계(마리) is highly overall correlated with 내장형 무선식별(RFID) and 3 other fieldsHigh correlation
동물소유자수(명) is highly overall correlated with 내장형 무선식별(RFID) and 3 other fieldsHigh correlation
읍면동(법정동) has unique valuesUnique
내장형 무선식별(RFID) has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:28:35.762914
Analysis finished2024-04-29 22:28:39.723600
Duration3.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동(법정동)
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-30T07:28:39.854164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.9375
Min length3

Characters and Unicode

Total characters158
Distinct characters26
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

Unique32 ?
Unique (%)100.0%

Sample

1st row당산동
2nd row대림동
3rd row도림동
4th row신길동
5th row여의도동
ValueCountFrequency (%)
당산동 1
 
3.1%
대림동 1
 
3.1%
영등포동7가 1
 
3.1%
영등포동6가 1
 
3.1%
영등포동5가 1
 
3.1%
영등포동4가 1
 
3.1%
영등포동3가 1
 
3.1%
영등포동2가 1
 
3.1%
영등포동1가 1
 
3.1%
양평동6가 1
 
3.1%
Other values (22) 22
68.8%
2024-04-30T07:28:40.200733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 32
20.3%
가 26
16.5%
영 9
 
5.7%
등 9
 
5.7%
포 9
 
5.7%
당 7
 
4.4%
산 7
 
4.4%
평 6
 
3.8%
양 6
 
3.8%
래 6
 
3.8%
Other values (16) 41
25.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
83.5%
Decimal Number 26
 
16.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 32
24.2%
가 26
19.7%
영 9
 
6.8%
등 9
 
6.8%
포 9
 
6.8%
당 7
 
5.3%
산 7
 
5.3%
평 6
 
4.5%
양 6
 
4.5%
래 6
 
4.5%
Other values (8) 15
11.4%
Decimal Number
ValueCountFrequency (%)
3 4
15.4%
6 4
15.4%
5 4
15.4%
4 4
15.4%
1 4
15.4%
2 4
15.4%
7 1
 
3.8%
8 1
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
83.5%
Common 26
 
16.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 32
24.2%
가 26
19.7%
영 9
 
6.8%
등 9
 
6.8%
포 9
 
6.8%
당 7
 
5.3%
산 7
 
5.3%
평 6
 
4.5%
양 6
 
4.5%
래 6
 
4.5%
Other values (8) 15
11.4%
Common
ValueCountFrequency (%)
3 4
15.4%
6 4
15.4%
5 4
15.4%
4 4
15.4%
1 4
15.4%
2 4
15.4%
7 1
 
3.8%
8 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
83.5%
ASCII 26
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 32
24.2%
가 26
19.7%
영 9
 
6.8%
등 9
 
6.8%
포 9
 
6.8%
당 7
 
5.3%
산 7
 
5.3%
평 6
 
4.5%
양 6
 
4.5%
래 6
 
4.5%
Other values (8) 15
11.4%
ASCII
ValueCountFrequency (%)
3 4
15.4%
6 4
15.4%
5 4
15.4%
4 4
15.4%
1 4
15.4%
2 4
15.4%
7 1
 
3.8%
8 1
 
3.8%

내장형 무선식별(RFID)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean291.09375
Minimum4
Maximum2511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-30T07:28:40.334277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile38.3
Q186.25
median155.5
Q3249
95-th percentile1010.95
Maximum2511
Range2507
Interquartile range (IQR)162.75

Descriptive statistics

Standard deviation471.47698
Coefficient of variation (CV)1.619674
Kurtosis16.513927
Mean291.09375
Median Absolute Deviation (MAD)87
Skewness3.8267056
Sum9315
Variance222290.54
MonotonicityNot monotonic
2024-04-30T07:28:40.447371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
159 1
 
3.1%
207 1
 
3.1%
115 1
 
3.1%
227 1
 
3.1%
58 1
 
3.1%
68 1
 
3.1%
61 1
 
3.1%
49 1
 
3.1%
118 1
 
3.1%
78 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
4 1
3.1%
35 1
3.1%
41 1
3.1%
49 1
3.1%
58 1
3.1%
61 1
3.1%
68 1
3.1%
78 1
3.1%
89 1
3.1%
99 1
3.1%
ValueCountFrequency (%)
2511 1
3.1%
1160 1
3.1%
889 1
3.1%
512 1
3.1%
402 1
3.1%
356 1
3.1%
263 1
3.1%
261 1
3.1%
245 1
3.1%
242 1
3.1%

외장형 무선식별(RFID)
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean271.65625
Minimum7
Maximum2235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-30T07:28:40.568019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile33.25
Q186.5
median135.5
Q3251.25
95-th percentile1030.65
Maximum2235
Range2228
Interquartile range (IQR)164.75

Descriptive statistics

Standard deviation435.2027
Coefficient of variation (CV)1.6020346
Kurtosis14.056838
Mean271.65625
Median Absolute Deviation (MAD)85.5
Skewness3.5746841
Sum8693
Variance189401.39
MonotonicityNot monotonic
2024-04-30T07:28:40.674391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
126 2
 
6.2%
304 2
 
6.2%
93 2
 
6.2%
244 1
 
3.1%
116 1
 
3.1%
179 1
 
3.1%
48 1
 
3.1%
40 1
 
3.1%
49 1
 
3.1%
41 1
 
3.1%
Other values (19) 19
59.4%
ValueCountFrequency (%)
7 1
3.1%
25 1
3.1%
40 1
3.1%
41 1
3.1%
48 1
3.1%
49 1
3.1%
51 1
3.1%
67 1
3.1%
93 2
6.2%
116 1
3.1%
ValueCountFrequency (%)
2235 1
3.1%
1249 1
3.1%
852 1
3.1%
439 1
3.1%
304 2
6.2%
301 1
3.1%
255 1
3.1%
250 1
3.1%
244 1
3.1%
219 1
3.1%

인식표 무선식별(RFID)
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.125
Minimum1
Maximum557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-30T07:28:40.769879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q18
median26.5
Q343.5
95-th percentile319.15
Maximum557
Range556
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation117.40851
Coefficient of variation (CV)1.9207936
Kurtosis11.00815
Mean61.125
Median Absolute Deviation (MAD)18.5
Skewness3.277467
Sum1956
Variance13784.758
MonotonicityNot monotonic
2024-04-30T07:28:40.881150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
38 3
 
9.4%
4 3
 
9.4%
8 2
 
6.2%
6 2
 
6.2%
21 2
 
6.2%
29 2
 
6.2%
26 1
 
3.1%
48 1
 
3.1%
27 1
 
3.1%
16 1
 
3.1%
Other values (14) 14
43.8%
ValueCountFrequency (%)
1 1
 
3.1%
2 1
 
3.1%
4 3
9.4%
6 2
6.2%
8 2
6.2%
15 1
 
3.1%
16 1
 
3.1%
17 1
 
3.1%
20 1
 
3.1%
21 2
6.2%
ValueCountFrequency (%)
557 1
 
3.1%
323 1
 
3.1%
316 1
 
3.1%
89 1
 
3.1%
61 1
 
3.1%
58 1
 
3.1%
50 1
 
3.1%
48 1
 
3.1%
42 1
 
3.1%
38 3
9.4%

동물등록수합계(마리)
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean623.875
Minimum12
Maximum5303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-30T07:28:40.995284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile79.6
Q1194
median318
Q3542
95-th percentile2361.45
Maximum5303
Range5291
Interquartile range (IQR)348

Descriptive statistics

Standard deviation1020.7072
Coefficient of variation (CV)1.6360764
Kurtosis14.866976
Mean623.875
Median Absolute Deviation (MAD)196.5
Skewness3.6588496
Sum19964
Variance1041843.1
MonotonicityNot monotonic
2024-04-30T07:28:41.104938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
116 2
 
6.2%
322 1
 
3.1%
2725 1
 
3.1%
239 1
 
3.1%
433 1
 
3.1%
112 1
 
3.1%
94 1
 
3.1%
227 1
 
3.1%
149 1
 
3.1%
290 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
12 1
3.1%
62 1
3.1%
94 1
3.1%
96 1
3.1%
112 1
3.1%
116 2
6.2%
149 1
3.1%
209 1
3.1%
227 1
3.1%
230 1
3.1%
ValueCountFrequency (%)
5303 1
3.1%
2725 1
3.1%
2064 1
3.1%
1040 1
3.1%
751 1
3.1%
721 1
3.1%
607 1
3.1%
563 1
3.1%
535 1
3.1%
509 1
3.1%

동물소유자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean493.6875
Minimum10
Maximum4212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-30T07:28:41.219933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile53.8
Q1149.5
median259.5
Q3445.5
95-th percentile1892.55
Maximum4212
Range4202
Interquartile range (IQR)296

Descriptive statistics

Standard deviation813.06832
Coefficient of variation (CV)1.6469291
Kurtosis14.729788
Mean493.6875
Median Absolute Deviation (MAD)158.5
Skewness3.6452117
Sum15798
Variance661080.09
MonotonicityNot monotonic
2024-04-30T07:28:41.326203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
217 2
 
6.2%
271 1
 
3.1%
405 1
 
3.1%
198 1
 
3.1%
334 1
 
3.1%
79 1
 
3.1%
86 1
 
3.1%
88 1
 
3.1%
61 1
 
3.1%
175 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
10 1
3.1%
45 1
3.1%
61 1
3.1%
74 1
3.1%
79 1
3.1%
86 1
3.1%
88 1
3.1%
121 1
3.1%
159 1
3.1%
175 1
3.1%
ValueCountFrequency (%)
4212 1
3.1%
2178 1
3.1%
1659 1
3.1%
830 1
3.1%
567 1
3.1%
503 1
3.1%
497 1
3.1%
462 1
3.1%
440 1
3.1%
405 1
3.1%

Interactions

2024-04-30T07:28:39.144034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:37.554969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:38.000601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:38.375189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:38.747414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:39.222002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:37.689247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:38.074473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:38.449050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:38.822029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:39.292574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:37.775565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:38.146682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:38.525619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:38.898303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:39.359895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:37.859025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:38.226717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:38.601123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:38.983248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:39.433927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:37.930632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:38.299380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:38.676492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:28:39.067605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:28:41.407275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동(법정동)내장형 무선식별(RFID)외장형 무선식별(RFID)인식표 무선식별(RFID)동물등록수합계(마리)동물소유자수(명)
읍면동(법정동)1.0001.0001.0001.0001.0001.000
내장형 무선식별(RFID)1.0001.0000.9320.9580.9510.940
외장형 무선식별(RFID)1.0000.9321.0000.8790.9991.000
인식표 무선식별(RFID)1.0000.9580.8791.0000.9060.890
동물등록수합계(마리)1.0000.9510.9990.9061.0001.000
동물소유자수(명)1.0000.9401.0000.8901.0001.000
2024-04-30T07:28:41.519888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
내장형 무선식별(RFID)외장형 무선식별(RFID)인식표 무선식별(RFID)동물등록수합계(마리)동물소유자수(명)
내장형 무선식별(RFID)1.0000.9780.9570.9950.993
외장형 무선식별(RFID)0.9781.0000.9460.9900.992
인식표 무선식별(RFID)0.9570.9461.0000.9640.961
동물등록수합계(마리)0.9950.9900.9641.0000.999
동물소유자수(명)0.9930.9920.9610.9991.000

Missing values

2024-04-30T07:28:39.570578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:28:39.677596image/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

읍면동(법정동)내장형 무선식별(RFID)외장형 무선식별(RFID)인식표 무선식별(RFID)동물등록수합계(마리)동물소유자수(명)
0당산동15913726322271
1대림동1160124931627252178
2도림동512439891040830
3신길동2511223555753034212
4여의도동88985232320641659
5영등포동35630461721567
6당산동1가20415742403310
7당산동2가12213421277217
8당산동3가26121929509400
9당산동4가26325050563462
읍면동(법정동)내장형 무선식별(RFID)외장형 무선식별(RFID)인식표 무선식별(RFID)동물등록수합계(마리)동물소유자수(명)
22양평동5가15213329314248
23양평동6가13411838290217
24영등포동1가78674149121
25영등포동2가1189316227175
26영등포동3가494149461
27영등포동4가6149611688
28영등포동5가6840811686
29영등포동6가5848611279
30영등포동7가22717927433334
31영등포동8가1151168239198