Overview

Dataset statistics

Number of variables11
Number of observations345
Missing cells345
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.8 KiB
Average record size in memory94.4 B

Variable types

Categorical3
Text3
Unsupported1
Numeric4

Dataset

Description경기도_대기 기본 배출 부과금 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=LOQBL0HZKV2285NJW2742364178&infSeq=1

Alerts

시군명 has constant value ""Constant
반기구분명 is highly overall correlated with 집계년도High correlation
집계년도 is highly overall correlated with 반기구분명High correlation
소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
납부자실명번호 has 345 (100.0%) missing valuesMissing
납부자실명번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:59:09.649809
Analysis finished2023-12-10 22:59:11.768459
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2022
173 
2023
172 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2022 173
50.1%
2023 172
49.9%

Length

2023-12-11T07:59:11.830242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:59:11.913812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 173
50.1%
2023 172
49.9%

반기구분명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
하반기
173 
상반기
172 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하반기 173
50.1%
상반기 172
49.9%

Length

2023-12-11T07:59:12.002083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:59:12.090288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하반기 173
50.1%
상반기 172
49.9%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
경기도
345 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 345
100.0%

Length

2023-12-11T07:59:12.178191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:59:12.268984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 345
100.0%

사업장명
Text

Distinct237
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-11T07:59:12.460845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14
Mean length8.5971014
Min length3

Characters and Unicode

Total characters2966
Distinct characters269
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)38.8%

Sample

1st row(주)신창글로텍
2nd row(주)아모레퍼시픽 뷰티2사업장
3rd row(주)앤피티
4th row(주)에스디에프
5th row(주)에스엘미러텍
ValueCountFrequency (%)
주식회사 7
 
1.8%
제2공장 5
 
1.3%
한미약품(주 4
 
1.0%
주)티씨케이 4
 
1.0%
주)케이씨씨글라스 4
 
1.0%
코스맥스(주 4
 
1.0%
주)파리크라상 4
 
1.0%
연천군청 3
 
0.8%
풍아산업(주 3
 
0.8%
주)단석산업 3
 
0.8%
Other values (241) 347
89.4%
2023-12-11T07:59:12.832011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 277
 
9.3%
( 257
 
8.7%
) 257
 
8.7%
스 102
 
3.4%
장 79
 
2.7%
공 74
 
2.5%
이 58
 
2.0%
산 47
 
1.6%
45
 
1.5%
업 43
 
1.4%
Other values (259) 1727
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2316
78.1%
Open Punctuation 261
 
8.8%
Close Punctuation 261
 
8.8%
Space Separator 45
 
1.5%
Other Symbol 39
 
1.3%
Decimal Number 23
 
0.8%
Uppercase Letter 20
 
0.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 277
 
12.0%
스 102
 
4.4%
장 79
 
3.4%
공 74
 
3.2%
이 58
 
2.5%
산 47
 
2.0%
업 43
 
1.9%
아 42
 
1.8%
에 39
 
1.7%
대 39
 
1.7%
Other values (239) 1516
65.5%
Uppercase Letter
ValueCountFrequency (%)
L 5
25.0%
D 2
 
10.0%
W 2
 
10.0%
M 2
 
10.0%
C 2
 
10.0%
J 2
 
10.0%
P 2
 
10.0%
B 1
 
5.0%
H 1
 
5.0%
R 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
2 16
69.6%
1 5
 
21.7%
3 2
 
8.7%
Open Punctuation
ValueCountFrequency (%)
( 257
98.5%
（ 4
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 257
98.5%
） 4
 
1.5%
Space Separator
ValueCountFrequency (%)
45
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 39
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2355
79.4%
Common 591
 
19.9%
Latin 20
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 277
 
11.8%
스 102
 
4.3%
장 79
 
3.4%
공 74
 
3.1%
이 58
 
2.5%
산 47
 
2.0%
업 43
 
1.8%
아 42
 
1.8%
㈜ 39
 
1.7%
에 39
 
1.7%
Other values (240) 1555
66.0%
Latin
ValueCountFrequency (%)
L 5
25.0%
D 2
 
10.0%
W 2
 
10.0%
M 2
 
10.0%
C 2
 
10.0%
J 2
 
10.0%
P 2
 
10.0%
B 1
 
5.0%
H 1
 
5.0%
R 1
 
5.0%
Common
ValueCountFrequency (%)
( 257
43.5%
) 257
43.5%
45
 
7.6%
2 16
 
2.7%
1 5
 
0.8%
（ 4
 
0.7%
） 4
 
0.7%
3 2
 
0.3%
& 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2316
78.1%
ASCII 603
 
20.3%
None 47
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 277
 
12.0%
스 102
 
4.4%
장 79
 
3.4%
공 74
 
3.2%
이 58
 
2.5%
산 47
 
2.0%
업 43
 
1.9%
아 42
 
1.8%
에 39
 
1.7%
대 39
 
1.7%
Other values (239) 1516
65.5%
ASCII
ValueCountFrequency (%)
( 257
42.6%
) 257
42.6%
45
 
7.5%
2 16
 
2.7%
L 5
 
0.8%
1 5
 
0.8%
3 2
 
0.3%
D 2
 
0.3%
W 2
 
0.3%
M 2
 
0.3%
Other values (7) 10
 
1.7%
None
ValueCountFrequency (%)
㈜ 39
83.0%
（ 4
 
8.5%
） 4
 
8.5%

납부자실명번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing345
Missing (%)100.0%
Memory size3.2 KiB

부과금액(원)
Real number (ℝ)

Distinct343
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean437067.86
Minimum3320
Maximum10368310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T07:59:12.984270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3320
5-th percentile7810
Q148280
median142020
Q3456520
95-th percentile1610944
Maximum10368310
Range10364990
Interquartile range (IQR)408240

Descriptive statistics

Standard deviation956281.53
Coefficient of variation (CV)2.1879475
Kurtosis55.056862
Mean437067.86
Median Absolute Deviation (MAD)124080
Skewness6.5410319
Sum1.5078841 × 108
Variance9.1447437 × 1011
MonotonicityNot monotonic
2023-12-11T07:59:13.130921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13400 2
 
0.6%
93700 2
 
0.6%
308320 1
 
0.3%
339060 1
 
0.3%
132840 1
 
0.3%
404650 1
 
0.3%
2052680 1
 
0.3%
343940 1
 
0.3%
140510 1
 
0.3%
9150 1
 
0.3%
Other values (333) 333
96.5%
ValueCountFrequency (%)
3320 1
0.3%
3380 1
0.3%
3400 1
0.3%
3530 1
0.3%
3580 1
0.3%
3740 1
0.3%
4020 1
0.3%
4690 1
0.3%
5090 1
0.3%
5210 1
0.3%
ValueCountFrequency (%)
10368310 1
0.3%
8488230 1
0.3%
7216530 1
0.3%
3886450 1
0.3%
3159870 1
0.3%
3115910 1
0.3%
2837560 1
0.3%
2667640 1
0.3%
2397000 1
0.3%
2192630 1
0.3%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct138
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14837.875
Minimum10048
Maximum18630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T07:59:13.257914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10048
5-th percentile10842.6
Q111416
median15427
Q317602
95-th percentile18602.6
Maximum18630
Range8582
Interquartile range (IQR)6186

Descriptive statistics

Standard deviation2836.6104
Coefficient of variation (CV)0.19117363
Kurtosis-1.4246785
Mean14837.875
Median Absolute Deviation (MAD)2531
Skewness-0.22411568
Sum5119067
Variance8046358.8
MonotonicityNot monotonic
2023-12-11T07:59:13.419366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18622 12
 
3.5%
11138 11
 
3.2%
15436 11
 
3.2%
15100 10
 
2.9%
11410 8
 
2.3%
11022 8
 
2.3%
11303 6
 
1.7%
11416 6
 
1.7%
15610 6
 
1.7%
17998 5
 
1.4%
Other values (128) 262
75.9%
ValueCountFrequency (%)
10048 4
1.2%
10049 4
1.2%
10439 2
 
0.6%
10816 1
 
0.3%
10826 2
 
0.6%
10832 4
1.2%
10842 1
 
0.3%
10845 1
 
0.3%
11020 4
1.2%
11022 8
2.3%
ValueCountFrequency (%)
18630 2
 
0.6%
18623 2
 
0.6%
18622 12
3.5%
18608 2
 
0.6%
18581 2
 
0.6%
18579 2
 
0.6%
18545 2
 
0.6%
18543 4
 
1.2%
18542 2
 
0.6%
18541 2
 
0.6%

소재지지번주소
Text

Distinct209
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-11T07:59:13.677801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length21.988406
Min length16

Characters and Unicode

Total characters7586
Distinct characters143
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

Unique78 ?
Unique (%)22.6%

Sample

1st row경기도 시흥시 정왕동 1698-5번지
2nd row경기도 오산시 가장동 394-10번지
3rd row경기도 시흥시 정왕동 1283-8번지
4th row경기도 시흥시 정왕동 1701-4번지
5th row경기도 시흥시 정왕동 1260-1번지
ValueCountFrequency (%)
경기도 345
 
20.5%
안산시 72
 
4.3%
단원구 72
 
4.3%
화성시 40
 
2.4%
평택시 35
 
2.1%
양주시 31
 
1.8%
성곡동 28
 
1.7%
포천시 23
 
1.4%
정왕동 22
 
1.3%
시흥시 22
 
1.3%
Other values (364) 991
59.0%
2023-12-11T07:59:14.084922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1336
 
17.6%
지 368
 
4.9%
도 359
 
4.7%
시 354
 
4.7%
경 349
 
4.6%
기 348
 
4.6%
번 345
 
4.5%
1 251
 
3.3%
- 213
 
2.8%
리 198
 
2.6%
Other values (133) 3465
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4720
62.2%
Space Separator 1336
 
17.6%
Decimal Number 1317
 
17.4%
Dash Punctuation 213
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 368
 
7.8%
도 359
 
7.6%
시 354
 
7.5%
경 349
 
7.4%
기 348
 
7.4%
번 345
 
7.3%
리 198
 
4.2%
동 174
 
3.7%
원 120
 
2.5%
면 112
 
2.4%
Other values (121) 1993
42.2%
Decimal Number
ValueCountFrequency (%)
1 251
19.1%
6 146
11.1%
2 139
10.6%
3 135
10.3%
5 131
9.9%
0 130
9.9%
4 119
9.0%
7 114
8.7%
9 95
 
7.2%
8 57
 
4.3%
Space Separator
ValueCountFrequency (%)
1336
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 213
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4720
62.2%
Common 2866
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 368
 
7.8%
도 359
 
7.6%
시 354
 
7.5%
경 349
 
7.4%
기 348
 
7.4%
번 345
 
7.3%
리 198
 
4.2%
동 174
 
3.7%
원 120
 
2.5%
면 112
 
2.4%
Other values (121) 1993
42.2%
Common
ValueCountFrequency (%)
1336
46.6%
1 251
 
8.8%
- 213
 
7.4%
6 146
 
5.1%
2 139
 
4.8%
3 135
 
4.7%
5 131
 
4.6%
0 130
 
4.5%
4 119
 
4.2%
7 114
 
4.0%
Other values (2) 152
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4720
62.2%
ASCII 2866
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1336
46.6%
1 251
 
8.8%
- 213
 
7.4%
6 146
 
5.1%
2 139
 
4.8%
3 135
 
4.7%
5 131
 
4.6%
0 130
 
4.5%
4 119
 
4.2%
7 114
 
4.0%
Other values (2) 152
 
5.3%
Hangul
ValueCountFrequency (%)
지 368
 
7.8%
도 359
 
7.6%
시 354
 
7.5%
경 349
 
7.4%
기 348
 
7.4%
번 345
 
7.3%
리 198
 
4.2%
동 174
 
3.7%
원 120
 
2.5%
면 112
 
2.4%
Other values (121) 1993
42.2%

정제도로명주소
Text

Distinct209
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-11T07:59:14.598188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length20.469565
Min length14

Characters and Unicode

Total characters7062
Distinct characters180
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

Unique78 ?
Unique (%)22.6%

Sample

1st row경기도 시흥시 옥구천서로31번길 38
2nd row경기도 오산시 가장산업서로 20
3rd row경기도 시흥시 소망공원로 317
4th row경기도 시흥시 공단2대로76번길 40
5th row경기도 시흥시 산기대학로 130
ValueCountFrequency (%)
경기도 345
 
20.5%
안산시 72
 
4.3%
단원구 72
 
4.3%
화성시 40
 
2.4%
평택시 35
 
2.1%
양주시 31
 
1.8%
포천시 23
 
1.4%
시흥시 22
 
1.3%
포승읍 21
 
1.2%
안성시 18
 
1.1%
Other values (379) 1002
59.6%
2023-12-11T07:59:14.989731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1336
18.9%
기 366
 
5.2%
시 364
 
5.2%
도 358
 
5.1%
경 353
 
5.0%
로 288
 
4.1%
1 231
 
3.3%
2 221
 
3.1%
산 153
 
2.2%
3 150
 
2.1%
Other values (170) 3242
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4443
62.9%
Space Separator 1336
 
18.9%
Decimal Number 1227
 
17.4%
Dash Punctuation 56
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 366
 
8.2%
시 364
 
8.2%
도 358
 
8.1%
경 353
 
7.9%
로 288
 
6.5%
산 153
 
3.4%
단 144
 
3.2%
길 138
 
3.1%
안 119
 
2.7%
원 112
 
2.5%
Other values (158) 2048
46.1%
Decimal Number
ValueCountFrequency (%)
1 231
18.8%
2 221
18.0%
3 150
12.2%
7 113
9.2%
8 97
7.9%
5 97
7.9%
6 90
 
7.3%
0 89
 
7.3%
4 86
 
7.0%
9 53
 
4.3%
Space Separator
ValueCountFrequency (%)
1336
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4443
62.9%
Common 2619
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 366
 
8.2%
시 364
 
8.2%
도 358
 
8.1%
경 353
 
7.9%
로 288
 
6.5%
산 153
 
3.4%
단 144
 
3.2%
길 138
 
3.1%
안 119
 
2.7%
원 112
 
2.5%
Other values (158) 2048
46.1%
Common
ValueCountFrequency (%)
1336
51.0%
1 231
 
8.8%
2 221
 
8.4%
3 150
 
5.7%
7 113
 
4.3%
8 97
 
3.7%
5 97
 
3.7%
6 90
 
3.4%
0 89
 
3.4%
4 86
 
3.3%
Other values (2) 109
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4443
62.9%
ASCII 2619
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1336
51.0%
1 231
 
8.8%
2 221
 
8.4%
3 150
 
5.7%
7 113
 
4.3%
8 97
 
3.7%
5 97
 
3.7%
6 90
 
3.4%
0 89
 
3.4%
4 86
 
3.3%
Other values (2) 109
 
4.2%
Hangul
ValueCountFrequency (%)
기 366
 
8.2%
시 364
 
8.2%
도 358
 
8.1%
경 353
 
7.9%
로 288
 
6.5%
산 153
 
3.4%
단 144
 
3.2%
길 138
 
3.1%
안 119
 
2.7%
원 112
 
2.5%
Other values (158) 2048
46.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct267
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.408804
Minimum36.944549
Maximum38.035608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T07:59:15.154289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.944549
5-th percentile36.968277
Q137.164166
median37.317046
Q337.813512
95-th percentile37.991826
Maximum38.035608
Range1.0910596
Interquartile range (IQR)0.6493453

Descriptive statistics

Standard deviation0.33725739
Coefficient of variation (CV)0.0090154551
Kurtosis-1.0595084
Mean37.408804
Median Absolute Deviation (MAD)0.22308902
Skewness0.53878517
Sum12906.037
Variance0.11374255
MonotonicityNot monotonic
2023-12-11T07:59:15.285421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.43583287 3
 
0.9%
37.09321953 2
 
0.6%
37.33937826 2
 
0.6%
37.30298306 2
 
0.6%
37.09197062 2
 
0.6%
36.97220733 2
 
0.6%
37.30220756 2
 
0.6%
37.0885035 2
 
0.6%
36.96780784 2
 
0.6%
37.3052569 2
 
0.6%
Other values (257) 324
93.9%
ValueCountFrequency (%)
36.94454871 1
0.3%
36.95320102 1
0.3%
36.95395816 1
0.3%
36.95502739 2
0.6%
36.95503458 2
0.6%
36.9565993 2
0.6%
36.96058653 2
0.6%
36.96118428 2
0.6%
36.96411177 1
0.3%
36.96673714 1
0.3%
ValueCountFrequency (%)
38.0356083 1
0.3%
38.03548497 1
0.3%
38.03491355 1
0.3%
38.03413928 1
0.3%
38.01987083 1
0.3%
38.01889385 1
0.3%
38.00781666 1
0.3%
38.00779266 1
0.3%
38.00569444 2
0.6%
38.00569019 1
0.3%

WGS84경도
Real number (ℝ)

Distinct268
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.95463
Minimum126.58571
Maximum127.59315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T07:59:15.423790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.58571
5-th percentile126.69959
Q1126.77925
median126.90973
Q3127.07888
95-th percentile127.2648
Maximum127.59315
Range1.0074411
Interquartile range (IQR)0.2996286

Descriptive statistics

Standard deviation0.20596572
Coefficient of variation (CV)0.0016223569
Kurtosis0.20628309
Mean126.95463
Median Absolute Deviation (MAD)0.1441034
Skewness0.73742392
Sum43799.347
Variance0.042421878
MonotonicityNot monotonic
2023-12-11T07:59:15.563097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1687081 3
 
0.9%
126.9143658 2
 
0.6%
126.6997953 2
 
0.6%
126.7996577 2
 
0.6%
126.9097282 2
 
0.6%
127.2651348 2
 
0.6%
126.8041896 2
 
0.6%
126.9049843 2
 
0.6%
126.8443511 2
 
0.6%
126.7514539 2
 
0.6%
Other values (258) 324
93.9%
ValueCountFrequency (%)
126.5857126 2
0.6%
126.5991672 2
0.6%
126.6202694 2
0.6%
126.6220554 2
0.6%
126.6947328 1
0.3%
126.6963132 2
0.6%
126.698655 2
0.6%
126.6989785 1
0.3%
126.6994528 2
0.6%
126.6994927 1
0.3%
ValueCountFrequency (%)
127.5931537 2
0.6%
127.575383 1
0.3%
127.5363816 2
0.6%
127.5285082 2
0.6%
127.5001465 1
0.3%
127.4946111 2
0.6%
127.4920909 1
0.3%
127.3919063 1
0.3%
127.3690529 1
0.3%
127.3681354 1
0.3%

Interactions

2023-12-11T07:59:11.192595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:10.168159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:10.518473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:10.861164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:11.312810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:10.246330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:10.600451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:10.952481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:11.404393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:10.336069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:10.673962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:11.023859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:11.480147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:10.426360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:10.760700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:59:11.109174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:59:15.674078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계년도반기구분명부과금액(원)소재지우편번호WGS84위도WGS84경도
집계년도1.0001.0000.0000.0000.0000.000
반기구분명1.0001.0000.0000.0000.0000.000
부과금액(원)0.0000.0001.0000.4060.1250.184
소재지우편번호0.0000.0000.4061.0000.8540.876
WGS84위도0.0000.0000.1250.8541.0000.780
WGS84경도0.0000.0000.1840.8760.7801.000
2023-12-11T07:59:15.825678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
반기구분명집계년도
반기구분명1.0000.994
집계년도0.9941.000
2023-12-11T07:59:15.918971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부과금액(원)소재지우편번호WGS84위도WGS84경도집계년도반기구분명
부과금액(원)1.000-0.1240.1270.1970.0000.000
소재지우편번호-0.1241.000-0.898-0.0940.0000.000
WGS84위도0.127-0.8981.0000.0620.0000.000
WGS84경도0.197-0.0940.0621.0000.0000.000
집계년도0.0000.0000.0000.0001.0000.994
반기구분명0.0000.0000.0000.0000.9941.000

Missing values

2023-12-11T07:59:11.580885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:59:11.715854image/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

집계년도반기구분명시군명사업장명납부자실명번호부과금액(원)소재지우편번호소재지지번주소정제도로명주소WGS84위도WGS84경도
02023상반기경기도(주)신창글로텍<NA>32215015100경기도 시흥시 정왕동 1698-5번지경기도 시흥시 옥구천서로31번길 3837.33355126.700264
12023상반기경기도(주)아모레퍼시픽 뷰티2사업장<NA>4468018103경기도 오산시 가장동 394-10번지경기도 오산시 가장산업서로 2037.164166127.033411
22023상반기경기도(주)앤피티<NA>8314015105경기도 시흥시 정왕동 1283-8번지경기도 시흥시 소망공원로 31737.328808126.731535
32023상반기경기도(주)에스디에프<NA>12585015100경기도 시흥시 정왕동 1701-4번지경기도 시흥시 공단2대로76번길 4037.331364126.699632
42023상반기경기도(주)에스엘미러텍<NA>5629015084경기도 시흥시 정왕동 1260-1번지경기도 시흥시 산기대학로 13037.344602126.722071
52023상반기경기도(주)에이스침대여주공장<NA>95056012655경기도 여주시 가남읍 상활리 520-5번지경기도 여주시 가남읍 헌바디길 23-1337.226486127.528508
62023상반기경기도(주)와이엠<NA>338017960경기도 평택시 포승읍 만호리 593번지경기도 평택시 포승읍 포승공단로118번길 11836.970727126.852912
72023상반기경기도(주)우성염직 제2공장<NA>47795015436경기도 안산시 단원구 초지동 620-2번지경기도 안산시 단원구 시우로 7137.305312126.801701
82023상반기경기도(주)원태<NA>4765010048경기도 김포시 양촌읍 학운리 3028번지경기도 김포시 양촌읍 황금1로 6237.612912126.620269
92023상반기경기도(주)유원<NA>53574017956경기도 평택시 포승읍 원정리 1203-3번지경기도 평택시 포승읍 포승공단순환로 55436.989107126.837482
집계년도반기구분명시군명사업장명납부자실명번호부과금액(원)소재지우편번호소재지지번주소정제도로명주소WGS84위도WGS84경도
3352022하반기경기도대보산업<NA>283756011022경기도 연천군 청산면 대전리 643-1번지경기도 연천군 청산면 초대로 201-1438.004526127.078516
3362022하반기경기도대성가구산업(주)<NA>4350017124경기도 용인시 처인구 남사읍 전궁리 42번지경기도 용인시 처인구 남사읍 각궁로 252-1137.106726127.166467
3372022하반기경기도대영포장(주)<NA>469015429경기도 안산시 단원구 원시동 725-1번지경기도 안산시 단원구 산단로 26537.317439126.788701
3382022하반기경기도대영포장(주)<NA>21062018581경기도 화성시 장안면 수촌리 140번지경기도 화성시 장안면 수정로 27337.090973126.859979
3392022하반기경기도대용산업<NA>374015119경기도 시흥시 정왕동 2593-1번지경기도 시흥시 엠티브이28로 5337.33033126.694733
3402022하반기경기도대원화성(주)<NA>140361018111경기도 오산시 외삼미동 493-1번지경기도 오산시 경기대로 868-1437.195029127.044511
3412022하반기경기도대한주강(주)<NA>5000010048경기도 김포시 양촌읍 학운리 3068번지경기도 김포시 양촌읍 황금로127번길 18237.610374126.622055
3422022하반기경기도대화페인트공업(주)<NA>6056015424경기도 안산시 단원구 성곡동 629번지경기도 안산시 단원구 신원로 19037.312044126.758587
3432022하반기경기도덕산에코텍스<NA>26333011128경기도 포천시 영중면 양문리 1014-3번지경기도 포천시 영중면 양문공단로1길 5538.005038127.260592
3442022하반기경기도동양피스톤(주)<NA>26610015420경기도 안산시 단원구 신길동 1050번지경기도 안산시 단원구 해봉로255번길 1637.325058126.769915