Overview

Dataset statistics

Number of variables14
Number of observations6649
Missing cells4782
Missing cells (%)5.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory746.8 KiB
Average record size in memory115.0 B

Variable types

Text3
Categorical8
Numeric3

Dataset

Description전라남도 곡성군 가로등 정보 데이터를 제공합니다,(관리번호, 소재지 지번주소, 소재지 도로명주소, 위도, 경도, 관리기관 전화번호 등 포함)
Author전라남도 곡성군
URLhttps://www.data.go.kr/data/15110648/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
고객명 is highly overall correlated with 행정기관코드 and 4 other fieldsHigh correlation
읍면동명 is highly overall correlated with 행정기관코드 and 3 other fieldsHigh correlation
행정기관코드 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 읍면동명 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 행정기관코드 and 2 other fieldsHigh correlation
계약구분 is highly overall correlated with 고객명High correlation
계약구분 is highly imbalanced (83.5%)Imbalance
소재지도로명주소 has 4782 (71.9%) missing valuesMissing
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:12:34.751913
Analysis finished2023-12-12 12:12:37.463669
Duration2.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct6649
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size52.1 KiB
2023-12-12T21:12:37.758653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.6489698
Min length5

Characters and Unicode

Total characters50858
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6649 ?
Unique (%)100.0%

Sample

1st rowGS-1-1
2nd rowGS-1-2
3rd rowGS-1-3
4th rowGS-1-4
5th rowGS-1-5
ValueCountFrequency (%)
gs-1-1 1
 
< 0.1%
os-1-132 1
 
< 0.1%
os-1-142 1
 
< 0.1%
os-1-141 1
 
< 0.1%
os-1-140 1
 
< 0.1%
os-1-139 1
 
< 0.1%
os-1-138 1
 
< 0.1%
os-1-137 1
 
< 0.1%
os-1-136 1
 
< 0.1%
os-1-135 1
 
< 0.1%
Other values (6639) 6639
99.8%
2023-12-12T21:12:38.344280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 13298
26.1%
1 9094
17.9%
G 3879
 
7.6%
S 3378
 
6.6%
2 2645
 
5.2%
3 2459
 
4.8%
4 2299
 
4.5%
5 1823
 
3.6%
O 1708
 
3.4%
6 1525
 
3.0%
Other values (9) 8750
17.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25286
49.7%
Dash Punctuation 13298
26.1%
Uppercase Letter 12274
24.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9094
36.0%
2 2645
 
10.5%
3 2459
 
9.7%
4 2299
 
9.1%
5 1823
 
7.2%
6 1525
 
6.0%
7 1371
 
5.4%
8 1361
 
5.4%
9 1360
 
5.4%
0 1349
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
G 3879
31.6%
S 3378
27.5%
O 1708
13.9%
K 1233
 
10.0%
I 578
 
4.7%
J 526
 
4.3%
M 511
 
4.2%
D 461
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 13298
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38584
75.9%
Latin 12274
 
24.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 13298
34.5%
1 9094
23.6%
2 2645
 
6.9%
3 2459
 
6.4%
4 2299
 
6.0%
5 1823
 
4.7%
6 1525
 
4.0%
7 1371
 
3.6%
8 1361
 
3.5%
9 1360
 
3.5%
Latin
ValueCountFrequency (%)
G 3879
31.6%
S 3378
27.5%
O 1708
13.9%
K 1233
 
10.0%
I 578
 
4.7%
J 526
 
4.3%
M 511
 
4.2%
D 461
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50858
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 13298
26.1%
1 9094
17.9%
G 3879
 
7.6%
S 3378
 
6.6%
2 2645
 
5.2%
3 2459
 
4.8%
4 2299
 
4.5%
5 1823
 
3.6%
O 1708
 
3.4%
6 1525
 
3.0%
Other values (9) 8750
17.2%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.1 KiB
전라남도
6649 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 6649
100.0%

Length

2023-12-12T21:12:38.513464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:12:38.623905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 6649
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.1 KiB
곡성군
6649 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
곡성군 6649
100.0%

Length

2023-12-12T21:12:38.729000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:12:38.853915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
곡성군 6649
100.0%

읍면동명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size52.1 KiB
곡성읍
1173 
석곡면
689 
옥과면
677 
오곡면
584 
입면
578 
Other values (6)
2948 

Length

Max length4
Median length3
Mean length2.9228455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
곡성읍 1173
17.6%
석곡면 689
10.4%
옥과면 677
10.2%
오곡면 584
8.8%
입면 578
8.7%
삼기면 557
8.4%
죽곡면 526
7.9%
목사동면 511
7.7%
고달면 461
 
6.9%
오산면 447
 
6.7%

Length

2023-12-12T21:12:38.962010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
곡성읍 1173
17.6%
석곡면 689
10.4%
옥과면 677
10.2%
오곡면 584
8.8%
입면 578
8.7%
삼기면 557
8.4%
죽곡면 526
7.9%
목사동면 511
7.7%
고달면 461
 
6.9%
오산면 447
 
6.7%

행정기관코드
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6720335 × 109
Minimum4.672025 × 109
Maximum4.67204 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T21:12:39.080373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.672025 × 109
5-th percentile4.672025 × 109
Q14.672031 × 109
median4.672034 × 109
Q34.672037 × 109
95-th percentile4.67204 × 109
Maximum4.67204 × 109
Range15000
Interquartile range (IQR)6000

Descriptive statistics

Standard deviation4692.5828
Coefficient of variation (CV)1.0043984 × 10-6
Kurtosis-0.61311412
Mean4.6720335 × 109
Median Absolute Deviation (MAD)3000
Skewness-0.63805067
Sum3.1064351 × 1013
Variance22020333
MonotonicityNot monotonic
2023-12-12T21:12:39.228402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4672025000 1173
17.6%
4672033000 689
10.4%
4672037000 677
10.2%
4672031000 584
8.8%
4672038000 578
8.7%
4672032000 557
8.4%
4672035000 526
7.9%
4672034000 511
7.7%
4672036000 461
 
6.9%
4672040000 447
 
6.7%
ValueCountFrequency (%)
4672025000 1173
17.6%
4672031000 584
8.8%
4672032000 557
8.4%
4672033000 689
10.4%
4672034000 511
7.7%
4672035000 526
7.9%
4672036000 461
 
6.9%
4672037000 677
10.2%
4672038000 578
8.7%
4672039000 446
 
6.7%
ValueCountFrequency (%)
4672040000 447
6.7%
4672039000 446
6.7%
4672038000 578
8.7%
4672037000 677
10.2%
4672036000 461
6.9%
4672035000 526
7.9%
4672034000 511
7.7%
4672033000 689
10.4%
4672032000 557
8.4%
4672031000 584
8.8%

계약구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.1 KiB
정액제
6487 
계기판
 
162

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정액제 6487
97.6%
계기판 162
 
2.4%

Length

2023-12-12T21:12:39.412359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:12:39.538068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정액제 6487
97.6%
계기판 162
 
2.4%

고객명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size52.1 KiB
곡성읍사무소
973 
옥과면사무소
542 
죽곡면사무소
507 
석곡면사무소
504 
오곡면사무소
499 
Other values (26)
3624 

Length

Max length7
Median length6
Mean length5.5752745
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row곡성읍사무소
2nd row곡성읍장
3rd row곡성읍장
4th row곡성읍사무소
5th row곡성읍사무소

Common Values

ValueCountFrequency (%)
곡성읍사무소 973
14.6%
옥과면사무소 542
 
8.2%
죽곡면사무소 507
 
7.6%
석곡면사무소 504
 
7.6%
오곡면사무소 499
 
7.5%
삼기면사무소 475
 
7.1%
입면사무소 462
 
6.9%
겸면사무소 410
 
6.2%
고달면사무소 367
 
5.5%
오산면사무소 364
 
5.5%
Other values (21) 1546
23.3%

Length

2023-12-12T21:12:39.682636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
곡성읍사무소 973
14.6%
옥과면사무소 542
 
8.1%
죽곡면사무소 507
 
7.6%
석곡면사무소 504
 
7.6%
오곡면사무소 499
 
7.5%
삼기면사무소 475
 
7.1%
입면사무소 462
 
6.9%
겸면사무소 410
 
6.2%
고달면사무소 367
 
5.5%
오산면사무소 364
 
5.5%
Other values (22) 1561
23.4%

소재지도로명주소
Text

MISSING 

Distinct1574
Distinct (%)84.3%
Missing4782
Missing (%)71.9%
Memory size52.1 KiB
2023-12-12T21:12:40.051137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length20.957686
Min length17

Characters and Unicode

Total characters39128
Distinct characters198
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

Unique1389 ?
Unique (%)74.4%

Sample

1st row전라남도 곡성군 곡성읍 교촌죽안길 30-1
2nd row전라남도 곡성군 곡성읍 교촌죽안길 36
3rd row전라남도 곡성군 곡성읍 교촌길 70-3
4th row전라남도 곡성군 곡성읍 교촌길 60-17
5th row전라남도 곡성군 곡성읍 교촌길 70-9
ValueCountFrequency (%)
전라남도 1867
20.0%
곡성군 1867
20.0%
곡성읍 397
 
4.2%
옥과면 222
 
2.4%
석곡면 181
 
1.9%
삼기면 162
 
1.7%
입면 150
 
1.6%
죽곡면 145
 
1.6%
오곡면 134
 
1.4%
겸면 133
 
1.4%
Other values (1283) 4087
43.7%
2023-12-12T21:12:40.553595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7478
19.1%
곡 2899
 
7.4%
성 2298
 
5.9%
전 1917
 
4.9%
남 1877
 
4.8%
도 1873
 
4.8%
군 1871
 
4.8%
라 1869
 
4.8%
길 1578
 
4.0%
면 1480
 
3.8%
Other values (188) 13988
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24791
63.4%
Space Separator 7478
 
19.1%
Decimal Number 5881
 
15.0%
Dash Punctuation 962
 
2.5%
Open Punctuation 8
 
< 0.1%
Close Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
곡 2899
11.7%
성 2298
 
9.3%
전 1917
 
7.7%
남 1877
 
7.6%
도 1873
 
7.6%
군 1871
 
7.5%
라 1869
 
7.5%
길 1578
 
6.4%
면 1480
 
6.0%
읍 469
 
1.9%
Other values (174) 6660
26.9%
Decimal Number
ValueCountFrequency (%)
1 1392
23.7%
2 937
15.9%
3 656
11.2%
4 505
 
8.6%
5 465
 
7.9%
6 432
 
7.3%
8 419
 
7.1%
7 379
 
6.4%
9 350
 
6.0%
0 346
 
5.9%
Space Separator
ValueCountFrequency (%)
7478
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 962
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24791
63.4%
Common 14337
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
곡 2899
11.7%
성 2298
 
9.3%
전 1917
 
7.7%
남 1877
 
7.6%
도 1873
 
7.6%
군 1871
 
7.5%
라 1869
 
7.5%
길 1578
 
6.4%
면 1480
 
6.0%
읍 469
 
1.9%
Other values (174) 6660
26.9%
Common
ValueCountFrequency (%)
7478
52.2%
1 1392
 
9.7%
- 962
 
6.7%
2 937
 
6.5%
3 656
 
4.6%
4 505
 
3.5%
5 465
 
3.2%
6 432
 
3.0%
8 419
 
2.9%
7 379
 
2.6%
Other values (4) 712
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24791
63.4%
ASCII 14337
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7478
52.2%
1 1392
 
9.7%
- 962
 
6.7%
2 937
 
6.5%
3 656
 
4.6%
4 505
 
3.5%
5 465
 
3.2%
6 432
 
3.0%
8 419
 
2.9%
7 379
 
2.6%
Other values (4) 712
 
5.0%
Hangul
ValueCountFrequency (%)
곡 2899
11.7%
성 2298
 
9.3%
전 1917
 
7.7%
남 1877
 
7.6%
도 1873
 
7.6%
군 1871
 
7.5%
라 1869
 
7.5%
길 1578
 
6.4%
면 1480
 
6.0%
읍 469
 
1.9%
Other values (174) 6660
26.9%

소재지지번주소
Text

Distinct5611
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size52.1 KiB
2023-12-12T21:12:40.995091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length21.332682
Min length17

Characters and Unicode

Total characters141841
Distinct characters131
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

Unique4938 ?
Unique (%)74.3%

Sample

1st row전라남도 곡성군 곡성읍 교촌리 101
2nd row전라남도 곡성군 곡성읍 교촌리 105
3rd row전라남도 곡성군 곡성읍 교촌리 109-5
4th row전라남도 곡성군 곡성읍 교촌리 116-1
5th row전라남도 곡성군 곡성읍 교촌리 120-1
ValueCountFrequency (%)
전라남도 6649
19.7%
곡성군 6647
19.7%
곡성읍 1173
 
3.5%
석곡면 688
 
2.0%
옥과면 676
 
2.0%
오곡면 583
 
1.7%
입면 578
 
1.7%
삼기면 557
 
1.7%
죽곡면 527
 
1.6%
목사동면 512
 
1.5%
Other values (3826) 15136
44.9%
2023-12-12T21:12:41.756698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27077
19.1%
곡 10164
 
7.2%
성 7873
 
5.6%
전 6853
 
4.8%
리 6719
 
4.7%
남 6710
 
4.7%
도 6649
 
4.7%
군 6649
 
4.7%
라 6649
 
4.7%
면 5474
 
3.9%
Other values (121) 51024
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86308
60.8%
Space Separator 27077
 
19.1%
Decimal Number 24192
 
17.1%
Dash Punctuation 4264
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
곡 10164
11.8%
성 7873
 
9.1%
전 6853
 
7.9%
리 6719
 
7.8%
남 6710
 
7.8%
도 6649
 
7.7%
군 6649
 
7.7%
라 6649
 
7.7%
면 5474
 
6.3%
읍 1424
 
1.6%
Other values (109) 21144
24.5%
Decimal Number
ValueCountFrequency (%)
1 4783
19.8%
2 3221
13.3%
3 2639
10.9%
4 2458
10.2%
5 2105
8.7%
6 2044
8.4%
7 1961
8.1%
9 1709
 
7.1%
8 1656
 
6.8%
0 1616
 
6.7%
Space Separator
ValueCountFrequency (%)
27077
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4264
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86308
60.8%
Common 55533
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
곡 10164
11.8%
성 7873
 
9.1%
전 6853
 
7.9%
리 6719
 
7.8%
남 6710
 
7.8%
도 6649
 
7.7%
군 6649
 
7.7%
라 6649
 
7.7%
면 5474
 
6.3%
읍 1424
 
1.6%
Other values (109) 21144
24.5%
Common
ValueCountFrequency (%)
27077
48.8%
1 4783
 
8.6%
- 4264
 
7.7%
2 3221
 
5.8%
3 2639
 
4.8%
4 2458
 
4.4%
5 2105
 
3.8%
6 2044
 
3.7%
7 1961
 
3.5%
9 1709
 
3.1%
Other values (2) 3272
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86308
60.8%
ASCII 55533
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27077
48.8%
1 4783
 
8.6%
- 4264
 
7.7%
2 3221
 
5.8%
3 2639
 
4.8%
4 2458
 
4.4%
5 2105
 
3.8%
6 2044
 
3.7%
7 1961
 
3.5%
9 1709
 
3.1%
Other values (2) 3272
 
5.9%
Hangul
ValueCountFrequency (%)
곡 10164
11.8%
성 7873
 
9.1%
전 6853
 
7.9%
리 6719
 
7.8%
남 6710
 
7.8%
도 6649
 
7.7%
군 6649
 
7.7%
라 6649
 
7.7%
면 5474
 
6.3%
읍 1424
 
1.6%
Other values (109) 21144
24.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct5571
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.233982
Minimum35.077542
Maximum35.330872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T21:12:41.931713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.077542
5-th percentile35.114732
Q135.186875
median35.254661
Q335.284818
95-th percentile35.30916
Maximum35.330872
Range0.2533302
Interquartile range (IQR)0.0979433

Descriptive statistics

Standard deviation0.063468062
Coefficient of variation (CV)0.001801331
Kurtosis-0.73777812
Mean35.233982
Median Absolute Deviation (MAD)0.0375571
Skewness-0.6917646
Sum234270.75
Variance0.0040281949
MonotonicityNot monotonic
2023-12-12T21:12:42.136683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.282429 19
 
0.3%
35.2368786 13
 
0.2%
35.2360936 13
 
0.2%
35.2696477 11
 
0.2%
35.2709453 11
 
0.2%
35.2671502 11
 
0.2%
35.2954287 10
 
0.2%
35.2948743 10
 
0.2%
35.2791214 10
 
0.2%
35.2780017 9
 
0.1%
Other values (5561) 6532
98.2%
ValueCountFrequency (%)
35.0775418 2
< 0.1%
35.0779364 1
 
< 0.1%
35.0784841 3
< 0.1%
35.0796116 1
 
< 0.1%
35.0798588 1
 
< 0.1%
35.0803412 1
 
< 0.1%
35.080498 1
 
< 0.1%
35.0805728 1
 
< 0.1%
35.0807187 1
 
< 0.1%
35.0807709 1
 
< 0.1%
ValueCountFrequency (%)
35.330872 1
< 0.1%
35.3305335 1
< 0.1%
35.3301377 1
< 0.1%
35.3300913 1
< 0.1%
35.3300626 1
< 0.1%
35.3297107 1
< 0.1%
35.329589 1
< 0.1%
35.3293569 2
< 0.1%
35.3288514 1
< 0.1%
35.3281464 1
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct5573
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.24952
Minimum127.09194
Maximum127.4027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.6 KiB
2023-12-12T21:12:42.337038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.09194
5-th percentile127.12259
Q1127.19281
median127.25854
Q3127.30636
95-th percentile127.36391
Maximum127.4027
Range0.3107546
Interquartile range (IQR)0.1135462

Descriptive statistics

Standard deviation0.074488377
Coefficient of variation (CV)0.00058537255
Kurtosis-0.9181476
Mean127.24952
Median Absolute Deviation (MAD)0.053792
Skewness-0.23981784
Sum846082.07
Variance0.0055485183
MonotonicityNot monotonic
2023-12-12T21:12:42.867707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2973994 19
 
0.3%
127.3712045 13
 
0.2%
127.2104073 13
 
0.2%
127.3152528 11
 
0.2%
127.2776357 11
 
0.2%
127.3159882 11
 
0.2%
127.1338435 10
 
0.2%
127.3736529 10
 
0.2%
127.3453878 10
 
0.2%
127.3372463 9
 
0.1%
Other values (5563) 6532
98.2%
ValueCountFrequency (%)
127.0919411 1
< 0.1%
127.0930263 1
< 0.1%
127.0933174 1
< 0.1%
127.0935044 1
< 0.1%
127.0958966 1
< 0.1%
127.0959315 1
< 0.1%
127.0960209 1
< 0.1%
127.0961195 1
< 0.1%
127.0963606 2
< 0.1%
127.0967071 1
< 0.1%
ValueCountFrequency (%)
127.4026957 1
 
< 0.1%
127.402075 1
 
< 0.1%
127.4019764 1
 
< 0.1%
127.4014986 1
 
< 0.1%
127.401355 1
 
< 0.1%
127.401332 1
 
< 0.1%
127.4007259 1
 
< 0.1%
127.4005336 3
< 0.1%
127.4002949 1
 
< 0.1%
127.4000831 1
 
< 0.1%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.1 KiB
전라남도 곡성군청
6649 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라남도 곡성군청
2nd row전라남도 곡성군청
3rd row전라남도 곡성군청
4th row전라남도 곡성군청
5th row전라남도 곡성군청

Common Values

ValueCountFrequency (%)
전라남도 곡성군청 6649
100.0%

Length

2023-12-12T21:12:43.056482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:12:43.172951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 6649
50.0%
곡성군청 6649
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.1 KiB
061-360-8630
6649 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row061-360-8630
2nd row061-360-8630
3rd row061-360-8630
4th row061-360-8630
5th row061-360-8630

Common Values

ValueCountFrequency (%)
061-360-8630 6649
100.0%

Length

2023-12-12T21:12:43.308211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:12:43.418054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
061-360-8630 6649
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.1 KiB
2023-02-01
6649 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-01
2nd row2023-02-01
3rd row2023-02-01
4th row2023-02-01
5th row2023-02-01

Common Values

ValueCountFrequency (%)
2023-02-01 6649
100.0%

Length

2023-12-12T21:12:43.533244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:12:43.664317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-01 6649
100.0%

Interactions

2023-12-12T21:12:36.567708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:35.791579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:36.130348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:36.726216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:35.893208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:36.253005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:36.850293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:36.010465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:36.347576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:12:43.754069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동명행정기관코드계약구분고객명위도경도
읍면동명1.0001.0000.1380.9990.8130.846
행정기관코드1.0001.0000.0951.0000.7980.784
계약구분0.1380.0951.0000.7980.1130.102
고객명0.9991.0000.7981.0000.8620.888
위도0.8130.7980.1130.8621.0000.698
경도0.8460.7840.1020.8880.6981.000
2023-12-12T21:12:43.868954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고객명읍면동명계약구분
고객명1.0000.9920.705
읍면동명0.9921.0000.132
계약구분0.7050.1321.000
2023-12-12T21:12:43.972428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정기관코드위도경도읍면동명계약구분고객명
행정기관코드1.0000.084-0.5761.0000.1280.991
위도0.0841.000-0.1470.5220.0870.523
경도-0.576-0.1471.0000.5720.0780.571
읍면동명1.0000.5220.5721.0000.1320.992
계약구분0.1280.0870.0780.1321.0000.705
고객명0.9910.5230.5710.9920.7051.000

Missing values

2023-12-12T21:12:37.085701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:12:37.344854image/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

관리번호시도명시군구명읍면동명행정기관코드계약구분고객명소재지도로명주소소재지지번주소위도경도관리기관명관리기관전화번호데이터기준일자
0GS-1-1전라남도곡성군곡성읍4672025000정액제곡성읍사무소전라남도 곡성군 곡성읍 교촌죽안길 30-1전라남도 곡성군 곡성읍 교촌리 10135.28378127.286088전라남도 곡성군청061-360-86302023-02-01
1GS-1-2전라남도곡성군곡성읍4672025000정액제곡성읍장전라남도 곡성군 곡성읍 교촌죽안길 36전라남도 곡성군 곡성읍 교촌리 10535.283853127.285675전라남도 곡성군청061-360-86302023-02-01
2GS-1-3전라남도곡성군곡성읍4672025000정액제곡성읍장<NA>전라남도 곡성군 곡성읍 교촌리 109-535.284467127.285257전라남도 곡성군청061-360-86302023-02-01
3GS-1-4전라남도곡성군곡성읍4672025000정액제곡성읍사무소전라남도 곡성군 곡성읍 교촌길 70-3전라남도 곡성군 곡성읍 교촌리 116-135.283942127.282787전라남도 곡성군청061-360-86302023-02-01
4GS-1-5전라남도곡성군곡성읍4672025000정액제곡성읍사무소<NA>전라남도 곡성군 곡성읍 교촌리 120-135.283704127.283585전라남도 곡성군청061-360-86302023-02-01
5GS-1-6전라남도곡성군곡성읍4672025000정액제곡성읍사무소<NA>전라남도 곡성군 곡성읍 교촌리 12135.283335127.283408전라남도 곡성군청061-360-86302023-02-01
6GS-1-7전라남도곡성군곡성읍4672025000정액제곡성읍장전라남도 곡성군 곡성읍 교촌길 60-17전라남도 곡성군 곡성읍 교촌리 12235.283288127.283529전라남도 곡성군청061-360-86302023-02-01
7GS-1-8전라남도곡성군곡성읍4672025000정액제곡성읍사무소<NA>전라남도 곡성군 곡성읍 교촌리 13035.283008127.283504전라남도 곡성군청061-360-86302023-02-01
8GS-1-9전라남도곡성군곡성읍4672025000정액제곡성읍사무소<NA>전라남도 곡성군 곡성읍 교촌리 132-135.283267127.283226전라남도 곡성군청061-360-86302023-02-01
9GS-1-10전라남도곡성군곡성읍4672025000정액제곡성읍장전라남도 곡성군 곡성읍 교촌길 70-9전라남도 곡성군 곡성읍 교촌리 13635.283323127.283181전라남도 곡성군청061-360-86302023-02-01
관리번호시도명시군구명읍면동명행정기관코드계약구분고객명소재지도로명주소소재지지번주소위도경도관리기관명관리기관전화번호데이터기준일자
6639I-2-2전라남도곡성군입면4672038000계기판입면사무소전라남도 곡성군 입면 입면로 698전라남도 곡성군 입면 매월리 584-735.296852127.203476전라남도 곡성군청061-360-86302023-02-01
6640I-2-3전라남도곡성군입면4672038000계기판곡성군수전라남도 곡성군 입면 송전길 37전라남도 곡성군 입면 송전리 103335.309206127.181402전라남도 곡성군청061-360-86302023-02-01
6641I-2-4전라남도곡성군입면4672038000계기판입면사무소<NA>전라남도 곡성군 입면 창정리 97-335.306885127.194709전라남도 곡성군청061-360-86302023-02-01
6642I-2-5전라남도곡성군입면4672038000계기판입면사무소<NA>전라남도 곡성군 입면 창정리 288-3135.307302127.194176전라남도 곡성군청061-360-86302023-02-01
6643I-2-6전라남도곡성군입면4672038000계기판입면사무소<NA>전라남도 곡성군 입면 송전리 1120-135.310943127.199656전라남도 곡성군청061-360-86302023-02-01
6644I-2-7전라남도곡성군입면4672038000계기판입면사무소<NA>전라남도 곡성군 입면 서봉리 697-435.31106127.200246전라남도 곡성군청061-360-86302023-02-01
6645I-2-8전라남도곡성군입면4672038000계기판입면사무소<NA>전라남도 곡성군 입면 송전리 1-30635.314153127.200244전라남도 곡성군청061-360-86302023-02-01
6646I-2-9전라남도곡성군입면4672038000계기판입면장<NA>전라남도 곡성군 입면 제월리 164-235.324863127.227535전라남도 곡성군청061-360-86302023-02-01
6647JG-2-1전라남도곡성군죽곡면4672035000계기판죽곡면사무소전라남도 곡성군 죽곡면 섬진강로 1015전라남도 곡성군 죽곡면 하한리 929-335.191792127.375836전라남도 곡성군청061-360-86302023-02-01
6648JG-2-2전라남도곡성군죽곡면4672035000계기판곡성군수<NA>전라남도 곡성군 죽곡면 태평리 산109-435.141566127.312731전라남도 곡성군청061-360-86302023-02-01