Overview

Dataset statistics

Number of variables12
Number of observations426
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.7 KiB
Average record size in memory100.3 B

Variable types

Numeric4
Categorical5
Text3

Dataset

Description영천시 경로당의 행정동명, 시설명, 도로명주소, 지번주소, 건물층수, 위도, 경도, 관리기관명, 담당부서명 등 데이터를 제공합니다.
Author경상북도 영천시
URLhttps://www.data.go.kr/data/15110197/fileData.do

Alerts

관리기관명 has constant value ""Constant
담당부서명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 행정동명High correlation
위도 is highly overall correlated with 행정동명High correlation
경도 is highly overall correlated with 행정동명High correlation
행정동명 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-23 07:35:03.875903
Analysis finished2023-12-23 07:35:16.662644
Duration12.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct426
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean213.5
Minimum1
Maximum426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-23T07:35:17.192104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.25
Q1107.25
median213.5
Q3319.75
95-th percentile404.75
Maximum426
Range425
Interquartile range (IQR)212.5

Descriptive statistics

Standard deviation123.11986
Coefficient of variation (CV)0.57667382
Kurtosis-1.2
Mean213.5
Median Absolute Deviation (MAD)106.5
Skewness0
Sum90951
Variance15158.5
MonotonicityStrictly increasing
2023-12-23T07:35:18.151138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
294 1
 
0.2%
292 1
 
0.2%
291 1
 
0.2%
290 1
 
0.2%
289 1
 
0.2%
288 1
 
0.2%
287 1
 
0.2%
286 1
 
0.2%
285 1
 
0.2%
Other values (416) 416
97.7%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
426 1
0.2%
425 1
0.2%
424 1
0.2%
423 1
0.2%
422 1
0.2%
421 1
0.2%
420 1
0.2%
419 1
0.2%
418 1
0.2%
417 1
0.2%

행정동명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
고경면
45 
동부동
39 
북안면
36 
금호읍
35 
임고면
32 
Other values (11)
239 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고경면 45
10.6%
동부동 39
 
9.2%
북안면 36
 
8.5%
금호읍 35
 
8.2%
임고면 32
 
7.5%
화남면 28
 
6.6%
신녕면 27
 
6.3%
화산면 26
 
6.1%
대창면 26
 
6.1%
중앙동 25
 
5.9%
Other values (6) 107
25.1%

Length

2023-12-23T07:35:18.973009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고경면 45
10.6%
동부동 39
 
9.2%
북안면 36
 
8.5%
금호읍 35
 
8.2%
임고면 32
 
7.5%
화남면 28
 
6.6%
신녕면 27
 
6.3%
화산면 26
 
6.1%
대창면 26
 
6.1%
중앙동 25
 
5.9%
Other values (6) 107
25.1%

시설명
Text

Distinct424
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-23T07:35:20.857123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.1361502
Min length2

Characters and Unicode

Total characters3040
Distinct characters221
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique422 ?
Unique (%)99.1%

Sample

1st row교대1리경로당
2nd row교대2리경로당
3rd row우방타운경로당
4th row덕성리경로당
5th row태성맨션경로당
ValueCountFrequency (%)
경로당 265
36.6%
분회 7
 
1.0%
상리 2
 
0.3%
이편한세상 2
 
0.3%
녹전3동 2
 
0.3%
신방1리 2
 
0.3%
성내 2
 
0.3%
보현2리 2
 
0.3%
보현3리 2
 
0.3%
보현4리 2
 
0.3%
Other values (433) 437
60.3%
2023-12-23T07:35:23.165666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 375
 
12.3%
경 363
 
11.9%
로 362
 
11.9%
299
 
9.8%
리 265
 
8.7%
1 96
 
3.2%
2 93
 
3.1%
동 39
 
1.3%
천 35
 
1.2%
신 32
 
1.1%
Other values (211) 1081
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2478
81.5%
Space Separator 299
 
9.8%
Decimal Number 234
 
7.7%
Open Punctuation 14
 
0.5%
Close Punctuation 14
 
0.5%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 375
15.1%
경 363
 
14.6%
로 362
 
14.6%
리 265
 
10.7%
동 39
 
1.6%
천 35
 
1.4%
신 32
 
1.3%
산 30
 
1.2%
대 28
 
1.1%
정 23
 
0.9%
Other values (197) 926
37.4%
Decimal Number
ValueCountFrequency (%)
1 96
41.0%
2 93
39.7%
3 21
 
9.0%
4 8
 
3.4%
5 5
 
2.1%
7 4
 
1.7%
6 3
 
1.3%
8 2
 
0.9%
0 1
 
0.4%
9 1
 
0.4%
Space Separator
ValueCountFrequency (%)
299
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2478
81.5%
Common 561
 
18.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 375
15.1%
경 363
 
14.6%
로 362
 
14.6%
리 265
 
10.7%
동 39
 
1.6%
천 35
 
1.4%
신 32
 
1.3%
산 30
 
1.2%
대 28
 
1.1%
정 23
 
0.9%
Other values (197) 926
37.4%
Common
ValueCountFrequency (%)
299
53.3%
1 96
 
17.1%
2 93
 
16.6%
3 21
 
3.7%
( 14
 
2.5%
) 14
 
2.5%
4 8
 
1.4%
5 5
 
0.9%
7 4
 
0.7%
6 3
 
0.5%
Other values (3) 4
 
0.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2478
81.5%
ASCII 562
 
18.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 375
15.1%
경 363
 
14.6%
로 362
 
14.6%
리 265
 
10.7%
동 39
 
1.6%
천 35
 
1.4%
신 32
 
1.3%
산 30
 
1.2%
대 28
 
1.1%
정 23
 
0.9%
Other values (197) 926
37.4%
ASCII
ValueCountFrequency (%)
299
53.2%
1 96
 
17.1%
2 93
 
16.5%
3 21
 
3.7%
( 14
 
2.5%
) 14
 
2.5%
4 8
 
1.4%
5 5
 
0.9%
7 4
 
0.7%
6 3
 
0.5%
Other values (4) 5
 
0.9%

도로명주소
Text

Distinct418
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-23T07:35:24.284437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length20.760563
Min length15

Characters and Unicode

Total characters8844
Distinct characters240
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique411 ?
Unique (%)96.5%

Sample

1st row경상북도 영천시 금호읍 교대2길 9
2nd row경상북도 영천시 금호읍 교대용대길 7-2
3rd row경상북도 영천시 금호읍 덕성길 20
4th row경상북도 영천시 금호읍 금호로 56-40
5th row경상북도 영천시 금호읍 금호로 88(지하사무실)
ValueCountFrequency (%)
경상북도 426
20.8%
영천시 426
20.8%
고경면 45
 
2.2%
북안면 36
 
1.8%
금호읍 35
 
1.7%
임고면 32
 
1.6%
화남면 28
 
1.4%
신녕면 27
 
1.3%
화산면 26
 
1.3%
대창면 26
 
1.3%
Other values (670) 940
45.9%
2023-12-23T07:35:27.494419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1621
18.3%
북 487
 
5.5%
경 471
 
5.3%
천 455
 
5.1%
상 443
 
5.0%
도 439
 
5.0%
영 433
 
4.9%
시 432
 
4.9%
길 327
 
3.7%
1 298
 
3.4%
Other values (230) 3438
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5645
63.8%
Space Separator 1624
 
18.4%
Decimal Number 1269
 
14.3%
Dash Punctuation 133
 
1.5%
Close Punctuation 81
 
0.9%
Open Punctuation 81
 
0.9%
Other Punctuation 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 487
 
8.6%
경 471
 
8.3%
천 455
 
8.1%
상 443
 
7.8%
도 439
 
7.8%
영 433
 
7.7%
시 432
 
7.7%
길 327
 
5.8%
면 281
 
5.0%
동 107
 
1.9%
Other values (214) 1770
31.4%
Decimal Number
ValueCountFrequency (%)
1 298
23.5%
2 189
14.9%
4 126
9.9%
3 122
9.6%
6 107
 
8.4%
5 103
 
8.1%
7 89
 
7.0%
0 84
 
6.6%
8 79
 
6.2%
9 72
 
5.7%
Space Separator
ValueCountFrequency (%)
1621
99.8%
　 3
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5645
63.8%
Common 3199
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 487
 
8.6%
경 471
 
8.3%
천 455
 
8.1%
상 443
 
7.8%
도 439
 
7.8%
영 433
 
7.7%
시 432
 
7.7%
길 327
 
5.8%
면 281
 
5.0%
동 107
 
1.9%
Other values (214) 1770
31.4%
Common
ValueCountFrequency (%)
1621
50.7%
1 298
 
9.3%
2 189
 
5.9%
- 133
 
4.2%
4 126
 
3.9%
3 122
 
3.8%
6 107
 
3.3%
5 103
 
3.2%
7 89
 
2.8%
0 84
 
2.6%
Other values (6) 327
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5645
63.8%
ASCII 3196
36.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1621
50.7%
1 298
 
9.3%
2 189
 
5.9%
- 133
 
4.2%
4 126
 
3.9%
3 122
 
3.8%
6 107
 
3.3%
5 103
 
3.2%
7 89
 
2.8%
0 84
 
2.6%
Other values (5) 324
 
10.1%
Hangul
ValueCountFrequency (%)
북 487
 
8.6%
경 471
 
8.3%
천 455
 
8.1%
상 443
 
7.8%
도 439
 
7.8%
영 433
 
7.7%
시 432
 
7.7%
길 327
 
5.8%
면 281
 
5.0%
동 107
 
1.9%
Other values (214) 1770
31.4%
None
ValueCountFrequency (%)
　 3
100.0%

지번주소
Text

Distinct417
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-23T07:35:29.377645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.298122
Min length15

Characters and Unicode

Total characters8647
Distinct characters145
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique409 ?
Unique (%)96.0%

Sample

1st row경상북도 영천시 금호읍 교대리 185-19
2nd row경상북도 영천시 금호읍 교대리 88-1
3rd row경상북도 영천시 금호읍 교대리 410
4th row경상북도 영천시 금호읍 덕성리 232
5th row경상북도 영천시 금호읍 덕성리 101-4
ValueCountFrequency (%)
경상북도 426
21.1%
영천시 426
21.1%
고경면 45
 
2.2%
북안면 35
 
1.7%
금호읍 35
 
1.7%
임고면 31
 
1.5%
화남면 27
 
1.3%
신녕면 27
 
1.3%
화산면 26
 
1.3%
대창면 26
 
1.3%
Other values (597) 914
45.3%
2023-12-23T07:35:31.897052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1632
18.9%
북 482
 
5.6%
경 471
 
5.4%
천 459
 
5.3%
도 442
 
5.1%
상 434
 
5.0%
영 426
 
4.9%
시 426
 
4.9%
1 323
 
3.7%
리 318
 
3.7%
Other values (135) 3234
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5190
60.0%
Space Separator 1632
 
18.9%
Decimal Number 1576
 
18.2%
Dash Punctuation 249
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 482
 
9.3%
경 471
 
9.1%
천 459
 
8.8%
도 442
 
8.5%
상 434
 
8.4%
영 426
 
8.2%
시 426
 
8.2%
리 318
 
6.1%
면 279
 
5.4%
동 113
 
2.2%
Other values (123) 1340
25.8%
Decimal Number
ValueCountFrequency (%)
1 323
20.5%
2 211
13.4%
3 171
10.9%
5 152
9.6%
4 139
8.8%
6 124
 
7.9%
9 120
 
7.6%
7 116
 
7.4%
0 114
 
7.2%
8 106
 
6.7%
Space Separator
ValueCountFrequency (%)
1632
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 249
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5190
60.0%
Common 3457
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 482
 
9.3%
경 471
 
9.1%
천 459
 
8.8%
도 442
 
8.5%
상 434
 
8.4%
영 426
 
8.2%
시 426
 
8.2%
리 318
 
6.1%
면 279
 
5.4%
동 113
 
2.2%
Other values (123) 1340
25.8%
Common
ValueCountFrequency (%)
1632
47.2%
1 323
 
9.3%
- 249
 
7.2%
2 211
 
6.1%
3 171
 
4.9%
5 152
 
4.4%
4 139
 
4.0%
6 124
 
3.6%
9 120
 
3.5%
7 116
 
3.4%
Other values (2) 220
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5190
60.0%
ASCII 3457
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1632
47.2%
1 323
 
9.3%
- 249
 
7.2%
2 211
 
6.1%
3 171
 
4.9%
5 152
 
4.4%
4 139
 
4.0%
6 124
 
3.6%
9 120
 
3.5%
7 116
 
3.4%
Other values (2) 220
 
6.4%
Hangul
ValueCountFrequency (%)
북 482
 
9.3%
경 471
 
9.1%
천 459
 
8.8%
도 442
 
8.5%
상 434
 
8.4%
영 426
 
8.2%
시 426
 
8.2%
리 318
 
6.1%
면 279
 
5.4%
동 113
 
2.2%
Other values (123) 1340
25.8%

건물층수
Real number (ℝ)

Distinct8
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4624413
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-23T07:35:32.899229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum25
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0279802
Coefficient of variation (CV)1.3867088
Kurtosis98.180058
Mean1.4624413
Median Absolute Deviation (MAD)0
Skewness9.5009557
Sum623
Variance4.1127037
MonotonicityNot monotonic
2023-12-23T07:35:33.934966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 323
75.8%
2 89
 
20.9%
3 6
 
1.4%
5 4
 
0.9%
15 1
 
0.2%
20 1
 
0.2%
24 1
 
0.2%
25 1
 
0.2%
ValueCountFrequency (%)
1 323
75.8%
2 89
 
20.9%
3 6
 
1.4%
5 4
 
0.9%
15 1
 
0.2%
20 1
 
0.2%
24 1
 
0.2%
25 1
 
0.2%
ValueCountFrequency (%)
25 1
 
0.2%
24 1
 
0.2%
20 1
 
0.2%
15 1
 
0.2%
5 4
 
0.9%
3 6
 
1.4%
2 89
 
20.9%
1 323
75.8%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct414
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.990553
Minimum35.847668
Maximum36.162316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-23T07:35:34.956908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.847668
5-th percentile35.874703
Q135.945178
median35.983685
Q336.040117
95-th percentile36.11045
Maximum36.162316
Range0.314648
Interquartile range (IQR)0.094939275

Descriptive statistics

Standard deviation0.067899272
Coefficient of variation (CV)0.001886586
Kurtosis-0.29370755
Mean35.990553
Median Absolute Deviation (MAD)0.04786475
Skewness0.13891438
Sum15331.975
Variance0.0046103112
MonotonicityNot monotonic
2023-12-23T07:35:35.807872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.9648196 4
 
0.9%
35.9776972 3
 
0.7%
35.9735842 2
 
0.5%
35.8747175 2
 
0.5%
35.9721314 2
 
0.5%
35.976496 2
 
0.5%
36.1502384 2
 
0.5%
35.9619134 2
 
0.5%
35.9804736 2
 
0.5%
35.887893 1
 
0.2%
Other values (404) 404
94.8%
ValueCountFrequency (%)
35.8476682 1
0.2%
35.8483341 1
0.2%
35.8489251 1
0.2%
35.8511993 1
0.2%
35.8549842 1
0.2%
35.8568619 1
0.2%
35.858754 1
0.2%
35.8594844 1
0.2%
35.8607149 1
0.2%
35.8618432 1
0.2%
ValueCountFrequency (%)
36.1623162 1
0.2%
36.1530153 1
0.2%
36.1523957 1
0.2%
36.1502384 2
0.5%
36.1462573 1
0.2%
36.1446868 1
0.2%
36.1414863 1
0.2%
36.1383535 1
0.2%
36.1379833 1
0.2%
36.1379714 1
0.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct414
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.93654
Minimum128.7118
Maximum129.1315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-23T07:35:36.926347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.7118
5-th percentile128.79019
Q1128.89071
median128.93756
Q3128.98651
95-th percentile129.07933
Maximum129.1315
Range0.4196972
Interquartile range (IQR)0.095793975

Descriptive statistics

Standard deviation0.079945604
Coefficient of variation (CV)0.00062003837
Kurtosis0.10831317
Mean128.93654
Median Absolute Deviation (MAD)0.0480793
Skewness-0.069809707
Sum54926.967
Variance0.0063912996
MonotonicityNot monotonic
2023-12-23T07:35:37.975884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.9396324 4
 
0.9%
128.944312 3
 
0.7%
128.9493988 2
 
0.5%
128.8966419 2
 
0.5%
128.9503039 2
 
0.5%
128.9405033 2
 
0.5%
128.8979719 2
 
0.5%
128.9380621 2
 
0.5%
128.9762316 2
 
0.5%
129.0114257 1
 
0.2%
Other values (404) 404
94.8%
ValueCountFrequency (%)
128.7118 1
0.2%
128.714169 1
0.2%
128.7200637 1
0.2%
128.7300025 1
0.2%
128.7370719 1
0.2%
128.7452895 1
0.2%
128.7533006 1
0.2%
128.7606281 1
0.2%
128.7651776 1
0.2%
128.7771625 1
0.2%
ValueCountFrequency (%)
129.1314972 1
0.2%
129.1308721 1
0.2%
129.1247158 1
0.2%
129.1209032 1
0.2%
129.1116967 1
0.2%
129.110821 1
0.2%
129.1074919 1
0.2%
129.1051572 1
0.2%
129.1037591 1
0.2%
129.1010275 1
0.2%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
경상북도 영천시청
426 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상북도 영천시청
2nd row경상북도 영천시청
3rd row경상북도 영천시청
4th row경상북도 영천시청
5th row경상북도 영천시청

Common Values

ValueCountFrequency (%)
경상북도 영천시청 426
100.0%

Length

2023-12-23T07:35:38.621445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:35:39.316954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 426
50.0%
영천시청 426
50.0%

담당부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
사회복지과
426 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사회복지과 426
100.0%

Length

2023-12-23T07:35:39.830365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:35:40.436038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회복지과 426
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
054-330-6178
426 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row054-330-6178
2nd row054-330-6178
3rd row054-330-6178
4th row054-330-6178
5th row054-330-6178

Common Values

ValueCountFrequency (%)
054-330-6178 426
100.0%

Length

2023-12-23T07:35:41.029628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:35:41.767983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
054-330-6178 426
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-08
426 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-08
2nd row2023-12-08
3rd row2023-12-08
4th row2023-12-08
5th row2023-12-08

Common Values

ValueCountFrequency (%)
2023-12-08 426
100.0%

Length

2023-12-23T07:35:42.141029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:35:42.630551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-08 426
100.0%

Interactions

2023-12-23T07:35:12.891795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:35:05.815559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:35:07.787591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:35:09.222310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:35:13.236984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:35:06.155700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:35:08.185873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:35:09.785258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:35:13.620243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:35:06.636061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:35:08.555362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:35:10.646984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:35:14.122313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:35:07.400576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:35:08.858181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:35:11.370331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T07:35:43.111509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동명건물층수위도경도
연번1.0000.9800.2360.8600.868
행정동명0.9801.0000.3780.8430.850
건물층수0.2360.3781.0000.0000.000
위도0.8600.8430.0001.0000.637
경도0.8680.8500.0000.6371.000
2023-12-23T07:35:43.766748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건물층수위도경도행정동명
연번1.0000.066-0.3520.4130.895
건물층수0.0661.000-0.084-0.1020.200
위도-0.352-0.0841.000-0.0850.532
경도0.413-0.102-0.0851.0000.545
행정동명0.8950.2000.5320.5451.000

Missing values

2023-12-23T07:35:14.666081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:35:15.991330image/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

연번행정동명시설명도로명주소지번주소건물층수위도경도관리기관명담당부서명관리기관전화번호데이터기준일자
01금호읍교대1리경로당경상북도 영천시 금호읍 교대2길 9경상북도 영천시 금호읍 교대리 185-19235.932855128.875903경상북도 영천시청사회복지과054-330-61782023-12-08
12금호읍교대2리경로당경상북도 영천시 금호읍 교대용대길 7-2경상북도 영천시 금호읍 교대리 88-1235.933754128.87163경상북도 영천시청사회복지과054-330-61782023-12-08
23금호읍우방타운경로당경상북도 영천시 금호읍 덕성길 20경상북도 영천시 금호읍 교대리 410135.932735128.869526경상북도 영천시청사회복지과054-330-61782023-12-08
34금호읍덕성리경로당경상북도 영천시 금호읍 금호로 56-40경상북도 영천시 금호읍 덕성리 232235.929536128.867631경상북도 영천시청사회복지과054-330-61782023-12-08
45금호읍태성맨션경로당경상북도 영천시 금호읍 금호로 88(지하사무실)경상북도 영천시 금호읍 덕성리 101-4135.930858128.871756경상북도 영천시청사회복지과054-330-61782023-12-08
56금호읍금호읍분회경로당경상북도 영천시 금호읍 금호로 102-6경상북도 영천시 금호읍 덕성리 100-5135.931039128.872865경상북도 영천시청사회복지과054-330-61782023-12-08
67금호읍성천리경로당경상북도 영천시 금호읍 성천안길 12경상북도 영천시 금호읍 성천리 252-1135.944643128.872332경상북도 영천시청사회복지과054-330-61782023-12-08
78금호읍대미1리경로당경상북도 영천시 금호읍 대동마을길 191-4경상북도 영천시 금호읍 대미리 531-1135.962068128.881531경상북도 영천시청사회복지과054-330-61782023-12-08
89금호읍대미2리경로당경상북도 영천시 금호읍 미동길 5-10경상북도 영천시 금호읍 대미리 965-2135.947109128.880556경상북도 영천시청사회복지과054-330-61782023-12-08
910금호읍석섬리경로당경상북도 영천시 금호읍 돌섬2길 80-1경상북도 영천시 금호읍 석섬리 92135.951455128.891317경상북도 영천시청사회복지과054-330-61782023-12-08
연번행정동명시설명도로명주소지번주소건물층수위도경도관리기관명담당부서명관리기관전화번호데이터기준일자
416417남부동범어진옥경로당경상북도 영천시 범어2길 3-3 (범어동)경상북도 영천시 도남동 66135.934074128.939992경상북도 영천시청사회복지과054-330-61782023-12-08
417418남부동작산경로당경상북도 영천시 한방로 227-139 (작산동)경상북도 영천시 본촌동 639135.925265128.95228경상북도 영천시청사회복지과054-330-61782023-12-08
418419남부동작산11통경로당경상북도 영천시 한방로 223-4 (작산동)경상북도 영천시 채신동 503135.91323128.956675경상북도 영천시청사회복지과054-330-61782023-12-08
419420남부동봉동경로당경상북도 영천시 봉동2길 23-60 (봉동)경상북도 영천시 남부동 319-6135.902438128.95996경상북도 영천시청사회복지과054-330-61782023-12-08
420421남부동도남경로당경상북도 영천시 칠백로 843 (도남동)경상북도 영천시 봉동 805135.934025128.957859경상북도 영천시청사회복지과054-330-61782023-12-08
421422남부동도남윗마을경로당경상북도 영천시 도남길 40 (도남동)경상북도 영천시 신녕면 매양리 309136.040486128.780617경상북도 영천시청사회복지과054-330-61782023-12-08
422423남부동본촌경로당경상북도 영천시 예실큰길 4-15 (본촌동)경상북도 영천시 화북면 죽전리 1039136.150238128.897972경상북도 영천시청사회복지과054-330-61782023-12-08
423424남부동채신경로당경상북도 영천시 영천산단로 485 (채신동)경상북도 영천시 완산동 906-36135.961913128.938062경상북도 영천시청사회복지과054-330-61782023-12-08
424425남부동괴연경로당경상북도 영천시 신성일로 474경상북도 영천시 화남면 사천리 산78-5136.05793128.918632경상북도 영천시청사회복지과054-330-61782023-12-08
425426남부동가와인경로당경상북도 영천시 봉동1길 51 , 커뮤니티 센터 2층경상북도 영천시 봉동 805번지235.933435128.942266경상북도 영천시청사회복지과054-330-61782023-12-08