Overview

Dataset statistics

Number of variables21
Number of observations57
Missing cells153
Missing cells (%)12.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory178.3 B

Variable types

Text2
Categorical8
Numeric7
DateTime4

Dataset

Description충청북도 단양군 산림정밀지도db 추출 데이터로 채석지 기타주소, 소유별, 소재지 면적, 신고일, 준보전면적, 임업면적, 신고면적, 용도, 시작일, 종료일, 기업명, 현금, 보증보험, 복구비 합계, 대체 조성비, 군유지 면적, 읍면동명, 리명, 군유림 여부, 면적, 데이터 기준일자 등의 데이터 포함
Author충청북도 단양군
URLhttps://www.data.go.kr/data/15089401/fileData.do

Alerts

기타 유의 사항 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
채석지_기타주소 has 12 (21.1%) missing valuesMissing
채석지_소재지면적 has 1 (1.8%) missing valuesMissing
채석지_준보전면적 has 6 (10.5%) missing valuesMissing
채석지_임업면적 has 35 (61.4%) missing valuesMissing
채석지_신고면적 has 1 (1.8%) missing valuesMissing
채석지_시작일 has 1 (1.8%) missing valuesMissing
채석지_종료일 has 1 (1.8%) missing valuesMissing
채석지_복구비합계 has 4 (7.0%) missing valuesMissing
채석지_대체조성비 has 45 (78.9%) missing valuesMissing
군유지_면적 has 47 (82.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:58:47.362831
Analysis finished2023-12-12 06:58:47.661454
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채석지_기타주소
Text

MISSING 

Distinct23
Distinct (%)51.1%
Missing12
Missing (%)21.1%
Memory size588.0 B
2023-12-12T15:58:47.761358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.6222222
Min length1

Characters and Unicode

Total characters163
Distinct characters18
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

Unique16 ?
Unique (%)35.6%

Sample

1st row외1필
2nd row외 2필
3rd row외 2필
4th row외2필
5th row외 2필
ValueCountFrequency (%)
외 13
21.7%
외1필 9
15.0%
2필 5
 
8.3%
외2필 5
 
8.3%
3필 4
 
6.7%
외7필 3
 
5.0%
외6필 2
 
3.3%
외9필 2
 
3.3%
외4필 1
 
1.7%
외24필 1
 
1.7%
Other values (15) 15
25.0%
2023-12-12T15:58:48.125381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
외 43
26.4%
필 41
25.2%
1 18
11.0%
15
 
9.2%
2 15
 
9.2%
3 7
 
4.3%
9 3
 
1.8%
4 3
 
1.8%
5 3
 
1.8%
7 3
 
1.8%
Other values (8) 12
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91
55.8%
Decimal Number 55
33.7%
Space Separator 15
 
9.2%
Dash Punctuation 2
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 18
32.7%
2 15
27.3%
3 7
 
12.7%
9 3
 
5.5%
4 3
 
5.5%
5 3
 
5.5%
7 3
 
5.5%
6 2
 
3.6%
0 1
 
1.8%
Other Letter
ValueCountFrequency (%)
외 43
47.3%
필 41
45.1%
괴 2
 
2.2%
산 2
 
2.2%
하 1
 
1.1%
상 1
 
1.1%
리 1
 
1.1%
Space Separator
ValueCountFrequency (%)
15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91
55.8%
Common 72
44.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 18
25.0%
15
20.8%
2 15
20.8%
3 7
 
9.7%
9 3
 
4.2%
4 3
 
4.2%
5 3
 
4.2%
7 3
 
4.2%
6 2
 
2.8%
- 2
 
2.8%
Hangul
ValueCountFrequency (%)
외 43
47.3%
필 41
45.1%
괴 2
 
2.2%
산 2
 
2.2%
하 1
 
1.1%
상 1
 
1.1%
리 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91
55.8%
ASCII 72
44.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
외 43
47.3%
필 41
45.1%
괴 2
 
2.2%
산 2
 
2.2%
하 1
 
1.1%
상 1
 
1.1%
리 1
 
1.1%
ASCII
ValueCountFrequency (%)
1 18
25.0%
15
20.8%
2 15
20.8%
3 7
 
9.7%
9 3
 
4.2%
4 3
 
4.2%
5 3
 
4.2%
7 3
 
4.2%
6 2
 
2.8%
- 2
 
2.8%

채석지_소유별
Categorical

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
사
44 
군
8 
군,사
 
4
국·군·사
 
1

Length

Max length5
Median length1
Mean length1.2105263
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
사 44
77.2%
군 8
 
14.0%
군,사 4
 
7.0%
국·군·사 1
 
1.8%

Length

2023-12-12T15:58:48.269425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:58:48.417116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사 44
77.2%
군 8
 
14.0%
군,사 4
 
7.0%
국·군·사 1
 
1.8%

채석지_소재지면적
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)94.6%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean322405.32
Minimum327
Maximum3041051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T15:58:48.559729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327
5-th percentile14540.5
Q153815.5
median171031
Q3362587.75
95-th percentile728696.25
Maximum3041051
Range3040724
Interquartile range (IQR)308772.25

Descriptive statistics

Standard deviation524644.91
Coefficient of variation (CV)1.6272836
Kurtosis18.262015
Mean322405.32
Median Absolute Deviation (MAD)141168
Skewness4.063465
Sum18054698
Variance2.7525228 × 1011
MonotonicityNot monotonic
2023-12-12T15:58:48.718162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
313705 3
 
5.3%
33719 2
 
3.5%
718174 1
 
1.8%
450889 1
 
1.8%
327 1
 
1.8%
142016 1
 
1.8%
120045 1
 
1.8%
39273 1
 
1.8%
121832 1
 
1.8%
146030 1
 
1.8%
Other values (43) 43
75.4%
ValueCountFrequency (%)
327 1
1.8%
3630 1
1.8%
12751 1
1.8%
15137 1
1.8%
15769 1
1.8%
20793 1
1.8%
29454 1
1.8%
30272 1
1.8%
30942 1
1.8%
32363 1
1.8%
ValueCountFrequency (%)
3041051 1
1.8%
2562900 1
1.8%
760008 1
1.8%
718259 1
1.8%
718174 1
1.8%
652759 1
1.8%
642487 1
1.8%
537249 1
1.8%
450889 1
1.8%
412401 1
1.8%

채석지_신고일
Date

Distinct42
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2004-02-02 00:00:00
Maximum2007-10-01 00:00:00
2023-12-12T15:58:48.879404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:58:49.021149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

채석지_준보전면적
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)98.0%
Missing6
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean44006.765
Minimum327
Maximum324463
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T15:58:49.164827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327
5-th percentile1317
Q13915
median16131
Q362190
95-th percentile147598
Maximum324463
Range324136
Interquartile range (IQR)58275

Descriptive statistics

Standard deviation61216.402
Coefficient of variation (CV)1.391068
Kurtosis8.2269035
Mean44006.765
Median Absolute Deviation (MAD)13946
Skewness2.5296348
Sum2244345
Variance3.7474479 × 109
MonotonicityNot monotonic
2023-12-12T15:58:49.335437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26010 2
 
3.5%
175413 1
 
1.8%
2585 1
 
1.8%
327 1
 
1.8%
26922 1
 
1.8%
90972 1
 
1.8%
39273 1
 
1.8%
106305 1
 
1.8%
62833 1
 
1.8%
25819 1
 
1.8%
Other values (40) 40
70.2%
(Missing) 6
 
10.5%
ValueCountFrequency (%)
327 1
1.8%
808 1
1.8%
1234 1
1.8%
1400 1
1.8%
1555 1
1.8%
1623 1
1.8%
1796 1
1.8%
2185 1
1.8%
2370 1
1.8%
2422 1
1.8%
ValueCountFrequency (%)
324463 1
1.8%
189092 1
1.8%
175413 1
1.8%
119783 1
1.8%
118913 1
1.8%
107624 1
1.8%
106305 1
1.8%
100857 1
1.8%
95957 1
1.8%
90972 1
1.8%

채석지_임업면적
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing35
Missing (%)61.4%
Infinite0
Infinite (%)0.0%
Mean205641.27
Minimum7
Maximum1522062
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T15:58:49.459024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10091.65
Q124644.25
median44228
Q3187778
95-th percentile1308766.3
Maximum1522062
Range1522055
Interquartile range (IQR)163133.75

Descriptive statistics

Standard deviation410760.5
Coefficient of variation (CV)1.9974614
Kurtosis7.2337536
Mean205641.27
Median Absolute Deviation (MAD)30429.5
Skewness2.835438
Sum4524108
Variance1.6872419 × 1011
MonotonicityNot monotonic
2023-12-12T15:58:49.575536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
12460 1
 
1.8%
211310 1
 
1.8%
44018 1
 
1.8%
42532 1
 
1.8%
22390 1
 
1.8%
15137 1
 
1.8%
44438 1
 
1.8%
52857 1
 
1.8%
25560 1
 
1.8%
54363 1
 
1.8%
Other values (12) 12
 
21.1%
(Missing) 35
61.4%
ValueCountFrequency (%)
7 1
1.8%
9967 1
1.8%
12460 1
1.8%
15137 1
1.8%
22390 1
1.8%
24339 1
1.8%
25560 1
1.8%
37023 1
1.8%
38422 1
1.8%
42532 1
1.8%
ValueCountFrequency (%)
1522062 1
1.8%
1362847 1
1.8%
281234 1
1.8%
275330 1
1.8%
252026 1
1.8%
211310 1
1.8%
117182 1
1.8%
78604 1
1.8%
54363 1
1.8%
52857 1
1.8%

채석지_신고면적
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)98.2%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean120800.89
Minimum327
Maximum1711154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T15:58:49.713809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327
5-th percentile1697
Q113445
median34673.5
Q392218.25
95-th percentile316679.75
Maximum1711154
Range1710827
Interquartile range (IQR)78773.25

Descriptive statistics

Standard deviation303376.01
Coefficient of variation (CV)2.5113722
Kurtosis21.831331
Mean120800.89
Median Absolute Deviation (MAD)26503.5
Skewness4.633739
Sum6764850
Variance9.2037003 × 1010
MonotonicityNot monotonic
2023-12-12T15:58:49.894550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26010 2
 
3.5%
117182 1
 
1.8%
1538260 1
 
1.8%
254611 1
 
1.8%
327 1
 
1.8%
39382 1
 
1.8%
90972 1
 
1.8%
39273 1
 
1.8%
106305 1
 
1.8%
62833 1
 
1.8%
Other values (45) 45
78.9%
ValueCountFrequency (%)
327 1
1.8%
808 1
1.8%
1400 1
1.8%
1796 1
1.8%
2185 1
1.8%
3630 1
1.8%
4200 1
1.8%
8540 1
1.8%
9967 1
1.8%
10926 1
1.8%
ValueCountFrequency (%)
1711154 1
1.8%
1538260 1
1.8%
377321 1
1.8%
296466 1
1.8%
277752 1
1.8%
254611 1
1.8%
222909 1
1.8%
151642 1
1.8%
119783 1
1.8%
118913 1
1.8%

채석지_용도
Categorical

Distinct17
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
석회석채광
17 
광업용(석회석채광)
15 
석회석채 광
3 
석회석채 광
3 
백운석채광
3 
Other values (12)
16 

Length

Max length16
Median length15
Mean length7.9824561
Min length4

Unique

Unique9 ?
Unique (%)15.8%

Sample

1st row광업용(석회석채광)
2nd row석회석채광
3rd row석회석채광
4th row광해방지시설
5th row석회석채광 및 폐석유출방지시설

Common Values

ValueCountFrequency (%)
석회석채광 17
29.8%
광업용(석회석채광) 15
26.3%
석회석채 광 3
 
5.3%
석회석채 광 3
 
5.3%
백운석채광 3
 
5.3%
석회석채광및폐석처리장 3
 
5.3%
폐석적치장(석회석채광) 2
 
3.5%
광해방지시설 2
 
3.5%
백운석채 광 1
 
1.8%
광업용(원석수송도로) 1
 
1.8%
Other values (7) 7
12.3%

Length

2023-12-12T15:58:50.052989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
석회석채광 19
28.4%
광업용(석회석채광 15
22.4%
광 7
 
10.4%
석회석채 6
 
9.0%
백운석채광 3
 
4.5%
석회석채광및폐석처리장 3
 
4.5%
폐석적치장(석회석채광 2
 
3.0%
광해방지시설 2
 
3.0%
광업용(석회석채광장 1
 
1.5%
석회석채광및폐석적치장 1
 
1.5%
Other values (8) 8
11.9%

채석지_시작일
Date

MISSING 

Distinct30
Distinct (%)53.6%
Missing1
Missing (%)1.8%
Memory size588.0 B
Minimum2004-02-02 00:00:00
Maximum2007-10-01 00:00:00
2023-12-12T15:58:50.192598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:58:50.359071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

채석지_종료일
Date

MISSING 

Distinct28
Distinct (%)50.0%
Missing1
Missing (%)1.8%
Memory size588.0 B
Minimum2007-12-15 00:00:00
Maximum2012-09-30 00:00:00
2023-12-12T15:58:50.491081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:58:50.943695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

채석지_기업명
Categorical

Distinct8
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
성신양회㈜
20 
한일시멘트㈜
17 
㈜삼보광업
5 
㈜백광소재
5 
광진산업㈜
4 
Other values (3)
6 

Length

Max length7
Median length5
Mean length5.4035088
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st row한일시멘트㈜
2nd row한일시멘트㈜
3rd row한일시멘트㈜
4th row한일시멘트㈜
5th row한일시멘트㈜

Common Values

ValueCountFrequency (%)
성신양회㈜ 20
35.1%
한일시멘트㈜ 17
29.8%
㈜삼보광업 5
 
8.8%
㈜백광소재 5
 
8.8%
광진산업㈜ 4
 
7.0%
현대시멘트㈜ 3
 
5.3%
대성광업개발㈜ 2
 
3.5%
<NA> 1
 
1.8%

Length

2023-12-12T15:58:51.124193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:58:51.270814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성신양회㈜ 20
35.1%
한일시멘트㈜ 17
29.8%
㈜삼보광업 5
 
8.8%
㈜백광소재 5
 
8.8%
광진산업㈜ 4
 
7.0%
현대시멘트㈜ 3
 
5.3%
대성광업개발㈜ 2
 
3.5%
na 1
 
1.8%

채석지_보증보험
Categorical

Distinct6
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
28 
증권
24 
유가증권
 
2
채권대체
 
1
대체증권,증권
 
1

Length

Max length7
Median length4
Mean length3.2105263
Min length2

Unique

Unique3 ?
Unique (%)5.3%

Sample

1st row채권대체
2nd row유가증권
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
49.1%
증권 24
42.1%
유가증권 2
 
3.5%
채권대체 1
 
1.8%
대체증권,증권 1
 
1.8%
대체증권 1
 
1.8%

Length

2023-12-12T15:58:51.412394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:58:51.520212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
49.1%
증권 24
42.1%
유가증권 2
 
3.5%
채권대체 1
 
1.8%
대체증권,증권 1
 
1.8%
대체증권 1
 
1.8%

채석지_복구비합계
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)98.1%
Missing4
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean2699752.1
Minimum2560
Maximum37087760
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T15:58:51.665568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2560
5-th percentile30104
Q1270510
median651700
Q31765680
95-th percentile7770174
Maximum37087760
Range37085200
Interquartile range (IQR)1495170

Descriptive statistics

Standard deviation6870318.4
Coefficient of variation (CV)2.544796
Kurtosis19.880586
Mean2699752.1
Median Absolute Deviation (MAD)550430
Skewness4.4248557
Sum1.4308686 × 108
Variance4.7201275 × 1013
MonotonicityNot monotonic
2023-12-12T15:58:51.853143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
627110 2
 
3.5%
651700 1
 
1.8%
37087760 1
 
1.8%
6885430 1
 
1.8%
6138730 1
 
1.8%
2560 1
 
1.8%
914650 1
 
1.8%
1567000 1
 
1.8%
490910 1
 
1.8%
599650 1
 
1.8%
Other values (42) 42
73.7%
(Missing) 4
 
7.0%
ValueCountFrequency (%)
2560 1
1.8%
18000 1
1.8%
26480 1
1.8%
32520 1
1.8%
42240 1
1.8%
87530 1
1.8%
93660 1
1.8%
101270 1
1.8%
198350 1
1.8%
198940 1
1.8%
ValueCountFrequency (%)
37087760 1
1.8%
34152760 1
1.8%
9097290 1
1.8%
6885430 1
1.8%
6696660 1
1.8%
6138730 1
1.8%
5177070 1
1.8%
3225660 1
1.8%
2825290 1
1.8%
2298770 1
1.8%

채석지_대체조성비
Text

MISSING 

Distinct8
Distinct (%)66.7%
Missing45
Missing (%)78.9%
Memory size588.0 B
2023-12-12T15:58:52.029063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.8333333
Min length1

Characters and Unicode

Total characters46
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)50.0%

Sample

1st row면제
2nd row면제
3rd row0
4th row12673500
5th row0
ValueCountFrequency (%)
면제 4
33.3%
0 2
16.7%
12673500 1
 
8.3%
1
 
8.3%
1384370 1
 
8.3%
322400 1
 
8.3%
581093 1
 
8.3%
54877800 1
 
8.3%
2023-12-12T15:58:52.381023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10
21.7%
3 5
10.9%
면 4
 
8.7%
제 4
 
8.7%
7 4
 
8.7%
8 4
 
8.7%
1 3
 
6.5%
2 3
 
6.5%
5 3
 
6.5%
4 3
 
6.5%
Other values (3) 3
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37
80.4%
Other Letter 8
 
17.4%
Dash Punctuation 1
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10
27.0%
3 5
13.5%
7 4
 
10.8%
8 4
 
10.8%
1 3
 
8.1%
2 3
 
8.1%
5 3
 
8.1%
4 3
 
8.1%
6 1
 
2.7%
9 1
 
2.7%
Other Letter
ValueCountFrequency (%)
면 4
50.0%
제 4
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38
82.6%
Hangul 8
 
17.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10
26.3%
3 5
13.2%
7 4
 
10.5%
8 4
 
10.5%
1 3
 
7.9%
2 3
 
7.9%
5 3
 
7.9%
4 3
 
7.9%
6 1
 
2.6%
- 1
 
2.6%
Hangul
ValueCountFrequency (%)
면 4
50.0%
제 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38
82.6%
Hangul 8
 
17.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10
26.3%
3 5
13.2%
7 4
 
10.5%
8 4
 
10.5%
1 3
 
7.9%
2 3
 
7.9%
5 3
 
7.9%
4 3
 
7.9%
6 1
 
2.6%
- 1
 
2.6%
Hangul
ValueCountFrequency (%)
면 4
50.0%
제 4
50.0%

군유지_면적
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing47
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean97881.9
Minimum3
Maximum317725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T15:58:52.519708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile1635.15
Q113346.75
median29721.5
Q3137931.5
95-th percentile317725
Maximum317725
Range317722
Interquartile range (IQR)124584.75

Descriptive statistics

Standard deviation125343.47
Coefficient of variation (CV)1.2805582
Kurtosis0.079403679
Mean97881.9
Median Absolute Deviation (MAD)27905
Skewness1.2525946
Sum978819
Variance1.5710985 × 1010
MonotonicityNot monotonic
2023-12-12T15:58:52.660915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
317725 2
 
3.5%
20170 1
 
1.8%
12751 1
 
1.8%
3 1
 
1.8%
102749 1
 
1.8%
39273 1
 
1.8%
3630 1
 
1.8%
149659 1
 
1.8%
15134 1
 
1.8%
(Missing) 47
82.5%
ValueCountFrequency (%)
3 1
1.8%
3630 1
1.8%
12751 1
1.8%
15134 1
1.8%
20170 1
1.8%
39273 1
1.8%
102749 1
1.8%
149659 1
1.8%
317725 2
3.5%
ValueCountFrequency (%)
317725 2
3.5%
149659 1
1.8%
102749 1
1.8%
39273 1
1.8%
20170 1
1.8%
15134 1
1.8%
12751 1
1.8%
3630 1
1.8%
3 1
1.8%

읍면동명
Categorical

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
매포읍
31 
가곡면
16 
어상천면
8 
단양읍
 
1
대강면
 
1

Length

Max length4
Median length3
Mean length3.1403509
Min length3

Unique

Unique2 ?
Unique (%)3.5%

Sample

1st row단양읍
2nd row매포읍
3rd row매포읍
4th row매포읍
5th row매포읍

Common Values

ValueCountFrequency (%)
매포읍 31
54.4%
가곡면 16
28.1%
어상천면 8
 
14.0%
단양읍 1
 
1.8%
대강면 1
 
1.8%

Length

2023-12-12T15:58:52.837314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:58:52.996261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매포읍 31
54.4%
가곡면 16
28.1%
어상천면 8
 
14.0%
단양읍 1
 
1.8%
대강면 1
 
1.8%

리명
Categorical

Distinct14
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size588.0 B
여천리
15 
매포리
13 
하시리
6 
연곡리
5 
영천리
4 
Other values (9)
14 

Length

Max length4
Median length3
Mean length3.0350877
Min length3

Unique

Unique6 ?
Unique (%)10.5%

Sample

1st row후곡리
2nd row매포리
3rd row매포리
4th row매포리
5th row매포리

Common Values

ValueCountFrequency (%)
여천리 15
26.3%
매포리 13
22.8%
하시리 6
 
10.5%
연곡리 5
 
8.8%
영천리 4
 
7.0%
하괴리 3
 
5.3%
상괴리 3
 
5.3%
덕문곡리 2
 
3.5%
후곡리 1
 
1.8%
가평리 1
 
1.8%
Other values (4) 4
 
7.0%

Length

2023-12-12T15:58:53.122255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
여천리 15
26.3%
매포리 13
22.8%
하시리 6
 
10.5%
연곡리 5
 
8.8%
영천리 4
 
7.0%
하괴리 3
 
5.3%
상괴리 3
 
5.3%
덕문곡리 2
 
3.5%
후곡리 1
 
1.8%
가평리 1
 
1.8%
Other values (4) 4
 
7.0%

군유림여부
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
0
47 
1
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 47
82.5%
1 10
 
17.5%

Length

2023-12-12T15:58:53.264537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:58:53.354075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 47
82.5%
1 10
 
17.5%

면적
Real number (ℝ)

Distinct44
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138655.63
Minimum3
Maximum1232132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T15:58:53.445559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3538.8
Q121025
median39671
Q3230497
95-th percentile349179.6
Maximum1232132
Range1232129
Interquartile range (IQR)209472

Descriptive statistics

Standard deviation205494.38
Coefficient of variation (CV)1.4820486
Kurtosis14.123558
Mean138655.63
Median Absolute Deviation (MAD)33411
Skewness3.2257575
Sum7903371
Variance4.222794 × 1010
MonotonicityNot monotonic
2023-12-12T15:58:53.606393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
313705 6
 
10.5%
33719 3
 
5.3%
121579 2
 
3.5%
348109 2
 
3.5%
47394 2
 
3.5%
37254 2
 
3.5%
317725 2
 
3.5%
87372 2
 
3.5%
18366 1
 
1.8%
31484 1
 
1.8%
Other values (34) 34
59.6%
ValueCountFrequency (%)
3 1
1.8%
327 1
1.8%
3174 1
1.8%
3630 1
1.8%
6260 1
1.8%
10413 1
1.8%
12751 1
1.8%
14297 1
1.8%
15017 1
1.8%
15134 1
1.8%
ValueCountFrequency (%)
1232132 1
 
1.8%
702942 1
 
1.8%
353462 1
 
1.8%
348109 2
 
3.5%
317725 2
 
3.5%
313705 6
10.5%
283804 1
 
1.8%
230497 1
 
1.8%
169587 1
 
1.8%
149659 1
 
1.8%

기타 유의 사항
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
빈칸인 경우 해당 데이터가 데이터베이스에 없는 경우로 활용 시에 참고하시기 바랍니다.
57 

Length

Max length47
Median length47
Mean length47
Min length47

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row빈칸인 경우 해당 데이터가 데이터베이스에 없는 경우로 활용 시에 참고하시기 바랍니다.
2nd row빈칸인 경우 해당 데이터가 데이터베이스에 없는 경우로 활용 시에 참고하시기 바랍니다.
3rd row빈칸인 경우 해당 데이터가 데이터베이스에 없는 경우로 활용 시에 참고하시기 바랍니다.
4th row빈칸인 경우 해당 데이터가 데이터베이스에 없는 경우로 활용 시에 참고하시기 바랍니다.
5th row빈칸인 경우 해당 데이터가 데이터베이스에 없는 경우로 활용 시에 참고하시기 바랍니다.

Common Values

ValueCountFrequency (%)
빈칸인 경우 해당 데이터가 데이터베이스에 없는 경우로 활용 시에 참고하시기 바랍니다. 57
100.0%

Length

2023-12-12T15:58:53.755677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:58:53.840403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
빈칸인 57
9.1%
경우 57
9.1%
해당 57
9.1%
데이터가 57
9.1%
데이터베이스에 57
9.1%
없는 57
9.1%
경우로 57
9.1%
활용 57
9.1%
시에 57
9.1%
참고하시기 57
9.1%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2022-09-25 00:00:00
Maximum2022-09-25 00:00:00
2023-12-12T15:58:53.912096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:58:54.013969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

채석지_기타주소채석지_소유별채석지_소재지면적채석지_신고일채석지_준보전면적채석지_임업면적채석지_신고면적채석지_용도채석지_시작일채석지_종료일채석지_기업명채석지_보증보험채석지_복구비합계채석지_대체조성비군유지_면적읍면동명리명군유림여부면적기타 유의 사항데이터 기준일자
0외1필사3268782007-04-24<NA>117182117182광업용(석회석채광)2007-05-012010-04-30한일시멘트㈜채권대체2825290<NA><NA>단양읍후곡리0169587빈칸인 경우 해당 데이터가 데이터베이스에 없는 경우로 활용 시에 참고하시기 바랍니다.2022-09-25
1<NA>사3137052006-01-2737460<NA>37460석회석채광2006-01-272009-01-31한일시멘트㈜유가증권870010<NA><NA>매포읍매포리0313705빈칸인 경우 해당 데이터가 데이터베이스에 없는 경우로 활용 시에 참고하시기 바랍니다.2022-09-25
2<NA>사3137052006-12-0728900<NA>28900석회석채광2007-01-012009-12-31한일시멘트㈜<NA>558690<NA><NA>매포읍매포리0313705빈칸인 경우 해당 데이터가 데이터베이스에 없는 경우로 활용 시에 참고하시기 바랍니다.2022-09-25
3외 2필사3999022005-01-2814127<NA>14127광해방지시설2005-01-292008-01-31한일시멘트㈜<NA>273100<NA><NA>매포읍매포리0313705빈칸인 경우 해당 데이터가 데이터베이스에 없는 경우로 활용 시에 참고하시기 바랍니다.2022-09-25
4외 2필사7182592005-05-0731887<NA>31887석회석채광 및 폐석유출방지시설2005-05-072008-04-30한일시멘트㈜<NA>740580<NA><NA>매포읍매포리0313705빈칸인 경우 해당 데이터가 데이터베이스에 없는 경우로 활용 시에 참고하시기 바랍니다.2022-09-25
5외2필사3427872005-12-2810926<NA>10926광업용(석회석채광장 진입로)2006-01-012008-12-31한일시멘트㈜대체증권,증권253760<NA><NA>매포읍매포리0313705빈칸인 경우 해당 데이터가 데이터베이스에 없는 경우로 활용 시에 참고하시기 바랍니다.2022-09-25
6<NA>사3137052005-12-288540<NA>8540광업용(석회석채광)2006-01-012007-12-31한일시멘트㈜대체증권198350<NA><NA>매포읍매포리0313705빈칸인 경우 해당 데이터가 데이터베이스에 없는 경우로 활용 시에 참고하시기 바랍니다.2022-09-25
7외 2필사3586752004-02-0212048<NA>12048광해방지시설2004-02-022009-01-31한일시멘트㈜증권232910면제<NA>매포읍매포리0348109빈칸인 경우 해당 데이터가 데이터베이스에 없는 경우로 활용 시에 참고하시기 바랍니다.2022-09-25
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