Overview

Dataset statistics

Number of variables39
Number of observations10000
Missing cells44294
Missing cells (%)11.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 MiB
Average record size in memory334.0 B

Variable types

Numeric12
Categorical20
Text1
Boolean6

Dataset

Description국토지리정보원의 항공사진 관련 메타데이터 중 수치표고성과내역 입니다. (5000도엽번호, 자료명칭, 표고기준, 최고표고 ,최저표고 등)
Author국토교통부 국토지리정보원
URLhttps://www.data.go.kr/data/15067637/fileData.do

Alerts

구축구분코드 has constant value ""Constant
자료명칭 has constant value ""Constant
지리좌표계 has constant value ""Constant
자료형식 is highly imbalanced (73.7%)Imbalance
보간방법 is highly imbalanced (61.9%)Imbalance
자료기록형식 is highly imbalanced (52.4%)Imbalance
정확도 is highly imbalanced (50.9%)Imbalance
참고사항 is highly imbalanced (78.2%)Imbalance
예비 is highly imbalanced (78.4%)Imbalance
GPSINS처리결과보고서여부 is highly imbalanced (84.6%)Imbalance
원시좌하단의평면Y좌표 has 1575 (15.8%) missing valuesMissing
원시우상단의평면X좌표 has 1575 (15.8%) missing valuesMissing
원시우상단의평면Y좌표 has 1575 (15.8%) missing valuesMissing
좌하단의평면X좌표 has 9162 (91.6%) missing valuesMissing
좌하단의평면Y좌표 has 9162 (91.6%) missing valuesMissing
우상단의평면X좌표 has 9162 (91.6%) missing valuesMissing
우상단의평면Y좌표 has 9162 (91.6%) missing valuesMissing
최고표고 has 673 (6.7%) missing valuesMissing
최저표고 has 673 (6.7%) missing valuesMissing
원시좌하단의평면X좌표 has 1575 (15.8%) missing valuesMissing
최고표고 has 854 (8.5%) zerosZeros
최저표고 has 1721 (17.2%) zerosZeros

Reproduction

Analysis started2023-12-12 16:04:32.440208
Analysis finished2023-12-12 16:04:34.200614
Duration1.76 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

원시좌하단의평면Y좌표
Real number (ℝ)

MISSING 

Distinct3847
Distinct (%)45.7%
Missing1575
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean320674.46
Minimum0
Maximum913063
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:04:34.276978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile130908
Q1217110
median316834
Q3427700
95-th percentile528027.6
Maximum913063
Range913063
Interquartile range (IQR)210590

Descriptive statistics

Standard deviation127859.42
Coefficient of variation (CV)0.3987203
Kurtosis-0.71424722
Mean320674.46
Median Absolute Deviation (MAD)105284
Skewness0.015271605
Sum2.7016824 × 109
Variance1.6348031 × 1010
MonotonicityNot monotonic
2023-12-13T01:04:34.657128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
303003.0 49
 
0.5%
347210.0 21
 
0.2%
341650.0 20
 
0.2%
333310.0 19
 
0.2%
336090.0 19
 
0.2%
338870.0 18
 
0.2%
294630.0 17
 
0.2%
369370.0 17
 
0.2%
289080.0 17
 
0.2%
344430.0 16
 
0.2%
Other values (3837) 8212
82.1%
(Missing) 1575
 
15.8%
ValueCountFrequency (%)
0.0 1
< 0.1%
14050.0 1
< 0.1%
14780.0 1
< 0.1%
14875.0 1
< 0.1%
16555.0 1
< 0.1%
17550.0 2
< 0.1%
18370.0 1
< 0.1%
19180.0 1
< 0.1%
20155.0 1
< 0.1%
20170.0 2
< 0.1%
ValueCountFrequency (%)
913063.0 1
< 0.1%
608409.0 1
< 0.1%
608380.0 1
< 0.1%
605971.0 1
< 0.1%
605853.0 1
< 0.1%
605811.0 1
< 0.1%
605664.0 1
< 0.1%
605649.0 1
< 0.1%
605634.0 1
< 0.1%
605596.0 1
< 0.1%

원시우상단의평면X좌표
Real number (ℝ)

MISSING 

Distinct4103
Distinct (%)48.7%
Missing1575
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean203174
Minimum0
Maximum315999.41
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:04:34.822653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile125206
Q1165460
median202380
Q3241130
95-th percentile281995
Maximum315999.41
Range315999.41
Interquartile range (IQR)75670

Descriptive statistics

Standard deviation48329.547
Coefficient of variation (CV)0.23787269
Kurtosis-0.93185226
Mean203174
Median Absolute Deviation (MAD)37860
Skewness0.033637197
Sum1.711741 × 109
Variance2.3357451 × 109
MonotonicityNot monotonic
2023-12-13T01:04:34.971510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200190.0 25
 
0.2%
191210.0 18
 
0.2%
202090.0 17
 
0.2%
204690.0 16
 
0.2%
193480.0 16
 
0.2%
199880.0 15
 
0.1%
186770.0 15
 
0.1%
186870.0 15
 
0.1%
195700.0 14
 
0.1%
197920.0 14
 
0.1%
Other values (4093) 8260
82.6%
(Missing) 1575
 
15.8%
ValueCountFrequency (%)
0.0 1
< 0.1%
106770.0 1
< 0.1%
106800.0 1
< 0.1%
109021.0 1
< 0.1%
111070.0 1
< 0.1%
111153.0 1
< 0.1%
111210.0 1
< 0.1%
111212.0 1
< 0.1%
111241.0 1
< 0.1%
111260.0 1
< 0.1%
ValueCountFrequency (%)
315999.41 1
< 0.1%
315932.75 1
< 0.1%
314967.47 1
< 0.1%
313999.28 1
< 0.1%
312872.0 1
< 0.1%
312794.91 1
< 0.1%
312606.97 1
< 0.1%
311999.19 1
< 0.1%
310657.94 1
< 0.1%
310584.59 1
< 0.1%

원시우상단의평면Y좌표
Real number (ℝ)

MISSING 

Distinct3943
Distinct (%)46.8%
Missing1575
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean323637.25
Minimum0
Maximum611318
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:04:35.108009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile134130
Q1220140
median322550
Q3430732
95-th percentile530862.8
Maximum611318
Range611318
Interquartile range (IQR)210592

Descriptive statistics

Standard deviation127652.18
Coefficient of variation (CV)0.39442982
Kurtosis-0.7585612
Mean323637.25
Median Absolute Deviation (MAD)105190
Skewness0.0033975312
Sum2.7266438 × 109
Variance1.6295079 × 1010
MonotonicityNot monotonic
2023-12-13T01:04:35.268372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
333655.0 48
 
0.5%
350500.0 21
 
0.2%
344940.0 20
 
0.2%
339380.0 19
 
0.2%
336600.0 19
 
0.2%
342160.0 18
 
0.2%
372660.0 17
 
0.2%
347720.0 16
 
0.2%
369880.0 15
 
0.1%
367100.0 15
 
0.1%
Other values (3933) 8217
82.2%
(Missing) 1575
 
15.8%
ValueCountFrequency (%)
0.0 1
 
< 0.1%
14700.0 1
 
< 0.1%
17775.0 3
< 0.1%
20425.0 1
 
< 0.1%
20545.0 2
< 0.1%
20579.99 1
 
< 0.1%
23145.0 1
 
< 0.1%
23149.0 1
 
< 0.1%
23165.0 1
 
< 0.1%
23169.0 1
 
< 0.1%
ValueCountFrequency (%)
611318.0 1
< 0.1%
611304.0 1
< 0.1%
608756.0 1
< 0.1%
608735.0 1
< 0.1%
608593.0 1
< 0.1%
608573.0 2
< 0.1%
607051.0 1
< 0.1%
606577.0 1
< 0.1%
606052.0 1
< 0.1%
606031.0 1
< 0.1%

원시지리좌표계
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
7319 
1
943 
3
900 
<NA>
838 

Length

Max length4
Median length1
Mean length1.2514
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 7319
73.2%
1 943
 
9.4%
3 900
 
9.0%
<NA> 838
 
8.4%

Length

2023-12-13T01:04:35.404557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:04:35.516550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 7319
73.2%
1 943
 
9.4%
3 900
 
9.0%
na 838
 
8.4%

구축구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
PDT002
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPDT002
2nd rowPDT002
3rd rowPDT002
4th rowPDT002
5th rowPDT002

Common Values

ValueCountFrequency (%)
PDT002 10000
100.0%

Length

2023-12-13T01:04:35.633332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:04:35.728343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pdt002 10000
100.0%

도엽번호5000
Real number (ℝ)

Distinct8766
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33416038
Minimum336021
Maximum38815098
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:04:35.833861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum336021
5-th percentile387151.6
Q135701099
median36607015
Q337612044
95-th percentile37809097
Maximum38815098
Range38479077
Interquartile range (IQR)1910945.8

Descriptive statistics

Standard deviation10049883
Coefficient of variation (CV)0.30075029
Kurtosis6.8006503
Mean33416038
Median Absolute Deviation (MAD)999927.5
Skewness-2.9418988
Sum3.3416038 × 1011
Variance1.0100015 × 1014
MonotonicityNot monotonic
2023-12-13T01:04:35.994855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37612088 4
 
< 0.1%
37612049 4
 
< 0.1%
33611035 3
 
< 0.1%
37712081 3
 
< 0.1%
37612015 3
 
< 0.1%
35909050 3
 
< 0.1%
37705022 3
 
< 0.1%
37705087 3
 
< 0.1%
37705077 3
 
< 0.1%
37710029 3
 
< 0.1%
Other values (8756) 9968
99.7%
ValueCountFrequency (%)
336021 1
< 0.1%
336062 1
< 0.1%
336063 1
< 0.1%
336072 1
< 0.1%
336074 1
< 0.1%
336082 1
< 0.1%
336111 1
< 0.1%
336112 1
< 0.1%
336113 1
< 0.1%
336114 1
< 0.1%
ValueCountFrequency (%)
38815098 1
< 0.1%
38815097 1
< 0.1%
38815096 1
< 0.1%
38815095 1
< 0.1%
38815094 1
< 0.1%
38815085 1
< 0.1%
38815082 1
< 0.1%
38815077 1
< 0.1%
38815073 1
< 0.1%
38815071 1
< 0.1%

자료명칭
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수치표고자료
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수치표고자료 10000
100.0%

Length

2023-12-13T01:04:36.127558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:04:36.228799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수치표고자료 10000
100.0%

도엽명5000
Text

Distinct8763
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T01:04:36.512423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length4.9004
Min length3

Characters and Unicode

Total characters49004
Distinct characters292
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

Unique7608 ?
Unique (%)76.1%

Sample

1st row대전065
2nd row밀양060
3rd row안양014
4th row담양029
5th row죽변011
ValueCountFrequency (%)
덕 8
 
0.1%
연 8
 
0.1%
산4 8
 
0.1%
용 6
 
0.1%
동 6
 
0.1%
산3 6
 
0.1%
산2 6
 
0.1%
수 5
 
< 0.1%
삼 5
 
< 0.1%
신 5
 
< 0.1%
Other values (8810) 10141
99.4%
2023-12-13T01:04:37.003761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10925
22.3%
1 2160
 
4.4%
3 2120
 
4.3%
4 2103
 
4.3%
2 2057
 
4.2%
6 1892
 
3.9%
7 1838
 
3.8%
5 1831
 
3.7%
8 1802
 
3.7%
9 1741
 
3.6%
Other values (282) 20535
41.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28469
58.1%
Other Letter 20312
41.4%
Space Separator 223
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1081
 
5.3%
양 995
 
4.9%
주 914
 
4.5%
천 878
 
4.3%
안 671
 
3.3%
동 574
 
2.8%
원 564
 
2.8%
성 494
 
2.4%
청 443
 
2.2%
영 421
 
2.1%
Other values (271) 13277
65.4%
Decimal Number
ValueCountFrequency (%)
0 10925
38.4%
1 2160
 
7.6%
3 2120
 
7.4%
4 2103
 
7.4%
2 2057
 
7.2%
6 1892
 
6.6%
7 1838
 
6.5%
5 1831
 
6.4%
8 1802
 
6.3%
9 1741
 
6.1%
Space Separator
ValueCountFrequency (%)
223
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28692
58.6%
Hangul 20312
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1081
 
5.3%
양 995
 
4.9%
주 914
 
4.5%
천 878
 
4.3%
안 671
 
3.3%
동 574
 
2.8%
원 564
 
2.8%
성 494
 
2.4%
청 443
 
2.2%
영 421
 
2.1%
Other values (271) 13277
65.4%
Common
ValueCountFrequency (%)
0 10925
38.1%
1 2160
 
7.5%
3 2120
 
7.4%
4 2103
 
7.3%
2 2057
 
7.2%
6 1892
 
6.6%
7 1838
 
6.4%
5 1831
 
6.4%
8 1802
 
6.3%
9 1741
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28692
58.6%
Hangul 20312
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10925
38.1%
1 2160
 
7.5%
3 2120
 
7.4%
4 2103
 
7.3%
2 2057
 
7.2%
6 1892
 
6.6%
7 1838
 
6.4%
5 1831
 
6.4%
8 1802
 
6.3%
9 1741
 
6.1%
Hangul
ValueCountFrequency (%)
산 1081
 
5.3%
양 995
 
4.9%
주 914
 
4.5%
천 878
 
4.3%
안 671
 
3.3%
동 574
 
2.8%
원 564
 
2.8%
성 494
 
2.4%
청 443
 
2.2%
영 421
 
2.1%
Other values (271) 13277
65.4%

원시자료
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1/5000수치지도
4043 
1/5000수치지형도
1619 
수치표고자료
1267 
<NA>
1066 
수치지도
529 
Other values (9)
1476 

Length

Max length16
Median length14
Mean length9.0085
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row수치표고자료
4th row1/5000수치지도
5th row1/5000수치지형도

Common Values

ValueCountFrequency (%)
1/5000수치지도 4043
40.4%
1/5000수치지형도 1619
16.2%
수치표고자료 1267
 
12.7%
<NA> 1066
 
10.7%
수치지도 529
 
5.3%
항공레이저(LiDAR)측량 350
 
3.5%
라이다(LiDAR) 데이터 300
 
3.0%
LiDAR 데이터 290
 
2.9%
항공라이다측량 120
 
1.2%
항공라이다측량성과 96
 
1.0%
Other values (4) 320
 
3.2%

Length

2023-12-13T01:04:37.209902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1/5000수치지도 4043
37.7%
1/5000수치지형도 1619
15.1%
수치표고자료 1267
 
11.8%
na 1066
 
9.9%
데이터 659
 
6.1%
수치지도 529
 
4.9%
lidar 359
 
3.3%
항공레이저(lidar)측량 350
 
3.3%
라이다(lidar 300
 
2.8%
항공라이다측량 120
 
1.1%
Other values (5) 416
 
3.9%

원시자료획득방법
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
자동독취
5662 
<NA>
1715 
항공레이저측량
1275 
항공레이저(LiDAR)측량
 
350
항공레이저 측량
 
349
Other values (5)
649 

Length

Max length14
Median length4
Mean length5.1557
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row항공레이저 측량
4th row자동독취
5th row자동독취

Common Values

ValueCountFrequency (%)
자동독취 5662
56.6%
<NA> 1715
 
17.2%
항공레이저측량 1275
 
12.8%
항공레이저(LiDAR)측량 350
 
3.5%
항공레이저 측량 349
 
3.5%
항공라이다측량 216
 
2.2%
항공 레이저측량 170
 
1.7%
항공레이져측량 111
 
1.1%
항공레이저측량(LiDAR) 83
 
0.8%
항공 라이다 측량 69
 
0.7%

Length

2023-12-13T01:04:37.342782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:04:37.499247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동독취 5662
53.1%
na 1715
 
16.1%
항공레이저측량 1275
 
12.0%
측량 418
 
3.9%
항공레이저(lidar)측량 350
 
3.3%
항공레이저 349
 
3.3%
항공 239
 
2.2%
항공라이다측량 216
 
2.0%
레이저측량 170
 
1.6%
항공레이져측량 111
 
1.0%
Other values (2) 152
 
1.4%

자료형식
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
ASCII
8821 
PDF
 
838
.SCN
 
175
LAS binary
 
92
SCN
 
64

Length

Max length10
Median length5
Mean length4.8481
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
ASCII 8821
88.2%
PDF 838
 
8.4%
.SCN 175
 
1.8%
LAS binary 92
 
0.9%
SCN 64
 
0.6%
Ascii 10
 
0.1%

Length

2023-12-13T01:04:37.655721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:04:37.773728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ascii 8831
87.5%
pdf 838
 
8.3%
scn 239
 
2.4%
las 92
 
0.9%
binary 92
 
0.9%

원시자료제작년도
Real number (ℝ)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2005.2413
Minimum2001
Maximum2014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:04:37.875094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2001
Q12003
median2003
Q32008
95-th percentile2014
Maximum2014
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.5514977
Coefficient of variation (CV)0.0017711074
Kurtosis0.49557089
Mean2005.2413
Median Absolute Deviation (MAD)1
Skewness1.2032069
Sum20052413
Variance12.613136
MonotonicityNot monotonic
2023-12-13T01:04:37.979545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2003 4233
42.3%
2009 1267
 
12.7%
2004 1152
 
11.5%
2014 838
 
8.4%
2008 631
 
6.3%
2001 517
 
5.2%
2002 517
 
5.2%
2006 431
 
4.3%
2007 358
 
3.6%
2005 56
 
0.6%
ValueCountFrequency (%)
2001 517
 
5.2%
2002 517
 
5.2%
2003 4233
42.3%
2004 1152
 
11.5%
2005 56
 
0.6%
2006 431
 
4.3%
2007 358
 
3.6%
2008 631
 
6.3%
2009 1267
 
12.7%
2014 838
 
8.4%
ValueCountFrequency (%)
2014 838
 
8.4%
2009 1267
 
12.7%
2008 631
 
6.3%
2007 358
 
3.6%
2006 431
 
4.3%
2005 56
 
0.6%
2004 1152
 
11.5%
2003 4233
42.3%
2002 517
 
5.2%
2001 517
 
5.2%

격자간격
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
10mX10m
4168 
10 m
1595 
1mX1m
1059 
90mX90m
838 
10m×10m
656 
Other values (6)
1684 

Length

Max length11
Median length11
Mean length10.9344
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10 m
2nd row10 m
3rd row1m x 1m
4th row10mX10m
5th row10mX10m

Common Values

ValueCountFrequency (%)
10mX10m 4168
41.7%
10 m 1595
 
16.0%
1mX1m 1059
 
10.6%
90mX90m 838
 
8.4%
10m×10m 656
 
6.6%
1m X 1m 504
 
5.0%
1m x 1m 469
 
4.7%
5mX5m 462
 
4.6%
5m X 5m 92
 
0.9%
1m 88
 
0.9%

Length

2023-12-13T01:04:38.100461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10mx10m 4168
30.4%
1m 2034
14.8%
10 1595
 
11.6%
m 1595
 
11.6%
x 1065
 
7.8%
1mx1m 1059
 
7.7%
90mx90m 838
 
6.1%
10m×10m 656
 
4.8%
5mx5m 462
 
3.4%
5m 184
 
1.3%

단위
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
M
8731 
m
1269 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowM
3rd rowm
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
M 8731
87.3%
m 1269
 
12.7%

Length

2023-12-13T01:04:38.209823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:04:38.312416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 10000
100.0%

보간방법
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
TIN
8858 
TIN법
 
868
TIN 보간법
 
274

Length

Max length7
Median length3
Mean length3.1964
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
TIN 8858
88.6%
TIN법 868
 
8.7%
TIN 보간법 274
 
2.7%

Length

2023-12-13T01:04:38.433842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:04:38.557240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
tin 9132
88.9%
tin법 868
 
8.4%
보간법 274
 
2.7%

좌하단의평면X좌표
Real number (ℝ)

MISSING 

Distinct813
Distinct (%)97.0%
Missing9162
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean227270.22
Minimum-46419
Maximum498583
Zeros0
Zeros (%)0.0%
Negative16
Negative (%)0.2%
Memory size166.0 KiB
2023-12-13T01:04:38.679269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-46419
5-th percentile38984.2
Q1144965.25
median222198
Q3316285
95-th percentile409729.25
Maximum498583
Range545002
Interquartile range (IQR)171319.75

Descriptive statistics

Standard deviation113646.52
Coefficient of variation (CV)0.50005022
Kurtosis-0.65737822
Mean227270.22
Median Absolute Deviation (MAD)86986
Skewness0.00088050912
Sum1.9045245 × 108
Variance1.2915533 × 1010
MonotonicityNot monotonic
2023-12-13T01:04:38.847577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200000 26
 
0.3%
188910 1
 
< 0.1%
295894 1
 
< 0.1%
313062 1
 
< 0.1%
178652 1
 
< 0.1%
188874 1
 
< 0.1%
156840 1
 
< 0.1%
39031 1
 
< 0.1%
403204 1
 
< 0.1%
155861 1
 
< 0.1%
Other values (803) 803
 
8.0%
(Missing) 9162
91.6%
ValueCountFrequency (%)
-46419 1
< 0.1%
-35277 1
< 0.1%
-34849 1
< 0.1%
-24581 1
< 0.1%
-24173 1
< 0.1%
-23763 1
< 0.1%
-14274 1
< 0.1%
-13886 1
< 0.1%
-8262 1
< 0.1%
-4659 1
< 0.1%
ValueCountFrequency (%)
498583 1
< 0.1%
497989 1
< 0.1%
488286 1
< 0.1%
487138 1
< 0.1%
476882 1
< 0.1%
468222 1
< 0.1%
467692 1
< 0.1%
467159 1
< 0.1%
465555 1
< 0.1%
465018 1
< 0.1%

좌하단의평면Y좌표
Real number (ℝ)

MISSING 

Distinct730
Distinct (%)87.1%
Missing9162
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean607784.28
Minimum59176
Maximum1146463
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:04:39.046857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59176
5-th percentile198198.1
Q1383269
median600092
Q3836180
95-th percentile1021942.8
Maximum1146463
Range1087287
Interquartile range (IQR)452911

Descriptive statistics

Standard deviation266111.89
Coefficient of variation (CV)0.43783937
Kurtosis-1.0771109
Mean607784.28
Median Absolute Deviation (MAD)223739.5
Skewness0.033067939
Sum5.0932322 × 108
Variance7.0815536 × 1010
MonotonicityNot monotonic
2023-12-13T01:04:39.253227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
253235 2
 
< 0.1%
502893 2
 
< 0.1%
419917 2
 
< 0.1%
475870 2
 
< 0.1%
641632 2
 
< 0.1%
212201 2
 
< 0.1%
280991 2
 
< 0.1%
711274 2
 
< 0.1%
295182 2
 
< 0.1%
267102 2
 
< 0.1%
Other values (720) 818
 
8.2%
(Missing) 9162
91.6%
ValueCountFrequency (%)
59176 1
< 0.1%
59225 1
< 0.1%
72977 1
< 0.1%
72983 1
< 0.1%
73004 1
< 0.1%
73039 1
< 0.1%
73088 1
< 0.1%
86868 1
< 0.1%
87015 1
< 0.1%
100704 1
< 0.1%
ValueCountFrequency (%)
1146463 1
< 0.1%
1146076 1
< 0.1%
1145006 1
< 0.1%
1132575 1
< 0.1%
1131460 1
< 0.1%
1118300 1
< 0.1%
1117929 1
< 0.1%
1105619 1
< 0.1%
1105202 1
< 0.1%
1104413 1
< 0.1%

우상단의평면X좌표
Real number (ℝ)

MISSING 

Distinct812
Distinct (%)96.9%
Missing9162
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean238389.74
Minimum-35277
Maximum509493
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)0.1%
Memory size166.0 KiB
2023-12-13T01:04:39.476712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-35277
5-th percentile50202.7
Q1156046.25
median233352
Q3327093.75
95-th percentile420635.65
Maximum509493
Range544770
Interquartile range (IQR)171047.5

Descriptive statistics

Standard deviation113649.1
Coefficient of variation (CV)0.47673653
Kurtosis-0.65912831
Mean238389.74
Median Absolute Deviation (MAD)87108
Skewness0.0010667803
Sum1.997706 × 108
Variance1.2916117 × 1010
MonotonicityNot monotonic
2023-12-13T01:04:39.638773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200000 27
 
0.3%
403204 1
 
< 0.1%
222857 1
 
< 0.1%
242226 1
 
< 0.1%
157381 1
 
< 0.1%
306744 1
 
< 0.1%
324563 1
 
< 0.1%
189345 1
 
< 0.1%
210477 1
 
< 0.1%
167687 1
 
< 0.1%
Other values (802) 802
 
8.0%
(Missing) 9162
91.6%
ValueCountFrequency (%)
-35277 1
< 0.1%
-24173 1
< 0.1%
-23763 1
< 0.1%
-13497 1
< 0.1%
-13106 1
< 0.1%
-12715 1
< 0.1%
-3190 1
< 0.1%
-2821 1
< 0.1%
3038 1
< 0.1%
6460 1
< 0.1%
ValueCountFrequency (%)
509493 1
< 0.1%
508880 1
< 0.1%
499175 1
< 0.1%
497989 1
< 0.1%
487712 1
< 0.1%
479090 1
< 0.1%
478540 1
< 0.1%
477989 1
< 0.1%
476327 1
< 0.1%
475770 1
< 0.1%

우상단의평면Y좌표
Real number (ℝ)

MISSING 

Distinct730
Distinct (%)87.1%
Missing9162
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean621791.34
Minimum73088
Maximum1160753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:04:39.799224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73088
5-th percentile212183
Q1397344
median614026
Q3850158
95-th percentile1036151.9
Maximum1160753
Range1087665
Interquartile range (IQR)452814

Descriptive statistics

Standard deviation266150.59
Coefficient of variation (CV)0.42803844
Kurtosis-1.0766409
Mean621791.34
Median Absolute Deviation (MAD)223926
Skewness0.033300221
Sum5.2106114 × 108
Variance7.0836137 × 1010
MonotonicityNot monotonic
2023-12-13T01:04:39.987544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
267123 2
 
< 0.1%
516787 2
 
< 0.1%
433883 2
 
< 0.1%
489897 2
 
< 0.1%
655530 2
 
< 0.1%
226204 2
 
< 0.1%
294895 2
 
< 0.1%
725248 2
 
< 0.1%
309158 2
 
< 0.1%
280991 2
 
< 0.1%
Other values (720) 818
 
8.2%
(Missing) 9162
91.6%
ValueCountFrequency (%)
73088 1
< 0.1%
73151 1
< 0.1%
86847 1
< 0.1%
86868 1
< 0.1%
86903 1
< 0.1%
86952 1
< 0.1%
87015 1
< 0.1%
100767 1
< 0.1%
100956 1
< 0.1%
114576 1
< 0.1%
ValueCountFrequency (%)
1160753 1
< 0.1%
1160351 1
< 0.1%
1159235 1
< 0.1%
1146865 1
< 0.1%
1145704 1
< 0.1%
1132575 1
< 0.1%
1132188 1
< 0.1%
1119939 1
< 0.1%
1119506 1
< 0.1%
1118687 1
< 0.1%

지리좌표계
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2023-12-13T01:04:40.134624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:04:40.237129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

좌표계
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
평면직각좌표계
5647 
세계측지계
2619 
<NA>
1734 

Length

Max length7
Median length7
Mean length5.956
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row평면직각좌표계
4th row평면직각좌표계
5th row세계측지계

Common Values

ValueCountFrequency (%)
평면직각좌표계 5647
56.5%
세계측지계 2619
26.2%
<NA> 1734
 
17.3%

Length

2023-12-13T01:04:40.338021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:04:40.463364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평면직각좌표계 5647
56.5%
세계측지계 2619
26.2%
na 1734
 
17.3%

원점구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
중부
6553 
동부
3447 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중부
2nd row동부
3rd row중부
4th row중부
5th row동부

Common Values

ValueCountFrequency (%)
중부 6553
65.5%
동부 3447
34.5%

Length

2023-12-13T01:04:40.584073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:04:40.707489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중부 6553
65.5%
동부 3447
34.5%

표고기준
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인천항의 평균해수면
8266 
<NA>
1734 

Length

Max length10
Median length10
Mean length8.9596
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row인천항의 평균해수면
4th row인천항의 평균해수면
5th row인천항의 평균해수면

Common Values

ValueCountFrequency (%)
인천항의 평균해수면 8266
82.7%
<NA> 1734
 
17.3%

Length

2023-12-13T01:04:40.814243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:04:41.351109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천항의 8266
45.3%
평균해수면 8266
45.3%
na 1734
 
9.5%

높이값종류
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8733 
정표고
1267 

Length

Max length4
Median length4
Mean length3.8733
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8733
87.3%
정표고 1267
 
12.7%

Length

2023-12-13T01:04:41.474450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:04:41.592370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8733
87.3%
정표고 1267
 
12.7%

최고표고
Real number (ℝ)

MISSING  ZEROS 

Distinct6822
Distinct (%)73.1%
Missing673
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean389.62659
Minimum-8718.3
Maximum1946.83
Zeros854
Zeros (%)8.5%
Negative53
Negative (%)0.5%
Memory size166.0 KiB
2023-12-13T01:04:41.713782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-8718.3
5-th percentile0
Q1142.355
median360.8
Q3605
95-th percentile1057.402
Maximum1946.83
Range10665.13
Interquartile range (IQR)462.645

Descriptive statistics

Standard deviation507.25375
Coefficient of variation (CV)1.3018972
Kurtosis108.80317
Mean389.62659
Median Absolute Deviation (MAD)228.8
Skewness-7.4080587
Sum3634047.2
Variance257306.37
MonotonicityNot monotonic
2023-12-13T01:04:41.867837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 854
 
8.5%
597.32 19
 
0.2%
270.0 15
 
0.1%
130.0 14
 
0.1%
180.0 13
 
0.1%
573.42 13
 
0.1%
400.0 13
 
0.1%
605.0 12
 
0.1%
635.0 11
 
0.1%
365.0 11
 
0.1%
Other values (6812) 8352
83.5%
(Missing) 673
 
6.7%
ValueCountFrequency (%)
-8718.3 1
< 0.1%
-8531.7 1
< 0.1%
-8345.1 1
< 0.1%
-8251.8 1
< 0.1%
-8065.2 1
< 0.1%
-7878.6 1
< 0.1%
-7412.1 1
< 0.1%
-7225.5 1
< 0.1%
-7132.2 1
< 0.1%
-6945.6 1
< 0.1%
ValueCountFrequency (%)
1946.83 1
< 0.1%
1915.0 1
< 0.1%
1780.08 1
< 0.1%
1759.2 1
< 0.1%
1753.78 1
< 0.1%
1713.23 1
< 0.1%
1701.44 1
< 0.1%
1696.52 1
< 0.1%
1614.29 1
< 0.1%
1591.92 1
< 0.1%

최저표고
Real number (ℝ)

MISSING  ZEROS 

Distinct4605
Distinct (%)49.4%
Missing673
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean-257.58161
Minimum-10000
Maximum1990
Zeros1721
Zeros (%)17.2%
Negative798
Negative (%)8.0%
Memory size166.0 KiB
2023-12-13T01:04:42.045696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10000
5-th percentile-2.5
Q10
median49.91
Q3160.335
95-th percentile480.165
Maximum1990
Range11990
Interquartile range (IQR)160.335

Descriptive statistics

Standard deviation1928.5725
Coefficient of variation (CV)-7.4872287
Kurtosis21.390185
Mean-257.58161
Median Absolute Deviation (MAD)49.91
Skewness-4.8114007
Sum-2402463.7
Variance3719391.7
MonotonicityNot monotonic
2023-12-13T01:04:42.237309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1721
 
17.2%
-10000.0 349
 
3.5%
5.0 60
 
0.6%
65.0 54
 
0.5%
120.0 45
 
0.4%
-2.5 42
 
0.4%
150.0 41
 
0.4%
55.0 40
 
0.4%
50.0 37
 
0.4%
25.0 37
 
0.4%
Other values (4595) 6901
69.0%
(Missing) 673
 
6.7%
ValueCountFrequency (%)
-10000.0 349
3.5%
-427.95 1
 
< 0.1%
-101.192 1
 
< 0.1%
-20.88 1
 
< 0.1%
-19.66 1
 
< 0.1%
-19.0 1
 
< 0.1%
-18.28 1
 
< 0.1%
-18.2 1
 
< 0.1%
-18.06 1
 
< 0.1%
-17.61 1
 
< 0.1%
ValueCountFrequency (%)
1990.0 1
< 0.1%
1860.0 1
< 0.1%
1795.0 1
< 0.1%
1730.0 1
< 0.1%
1470.0 1
< 0.1%
1340.3 1
< 0.1%
1340.0 1
< 0.1%
1281.286 1
< 0.1%
1275.0 1
< 0.1%
1260.21 1
< 0.1%

자료기록형식
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Row Major Upper-Left
8158 
Row Major Lower-Left
1025 
<NA>
 
468
Upper-Left
 
349

Length

Max length20
Median length20
Mean length18.9022
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRow Major Upper-Left
2nd rowRow Major Upper-Left
3rd rowUpper-Left
4th rowRow Major Upper-Left
5th rowRow Major Upper-Left

Common Values

ValueCountFrequency (%)
Row Major Upper-Left 8158
81.6%
Row Major Lower-Left 1025
 
10.2%
<NA> 468
 
4.7%
Upper-Left 349
 
3.5%

Length

2023-12-13T01:04:42.439215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:04:42.570631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
row 9183
32.4%
major 9183
32.4%
upper-left 8507
30.0%
lower-left 1025
 
3.6%
na 468
 
1.6%

정확도
Categorical

IMBALANCE 

Distinct47
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5839 
0.27m
1025 
0
899 
0.25 m
 
244
0.25m
 
190
Other values (42)
1803 

Length

Max length7
Median length4
Mean length3.9194
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row0.73
2nd row0
3rd row<NA>
4th row<NA>
5th row0.64

Common Values

ValueCountFrequency (%)
<NA> 5839
58.4%
0.27m 1025
 
10.2%
0 899
 
9.0%
0.25 m 244
 
2.4%
0.25m 190
 
1.9%
1.14 128
 
1.3%
1.05 87
 
0.9%
1.65 84
 
0.8%
1.13 80
 
0.8%
1.15 52
 
0.5%
Other values (37) 1372
 
13.7%

Length

2023-12-13T01:04:42.693985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5839
57.0%
0.27m 1025
 
10.0%
0 899
 
8.8%
m 246
 
2.4%
0.25 244
 
2.4%
0.25m 190
 
1.9%
1.14 128
 
1.2%
1.05 88
 
0.9%
1.65 84
 
0.8%
1.13 80
 
0.8%
Other values (36) 1422
 
13.9%

제작자
Categorical

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국토지리정보원(031-210-2600)
4003 
<NA>
1887 
국토지리정보원 공간영상과(031-210-2675)
1539 
한진정보통신(주) 컨소시엄
 
376
(주)신한항업 (02-2108-3700)
 
357
Other values (19)
1838 

Length

Max length36
Median length31
Mean length18.7569
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row국토지리정보원(031-210-2600)
5th row국토지리정보원 공간영상과(031-210-2675)

Common Values

ValueCountFrequency (%)
국토지리정보원(031-210-2600) 4003
40.0%
<NA> 1887
18.9%
국토지리정보원 공간영상과(031-210-2675) 1539
 
15.4%
한진정보통신(주) 컨소시엄 376
 
3.8%
(주)신한항업 (02-2108-3700) 357
 
3.6%
한진정보통신(주) GIS개발팀(02-3660-6588) 350
 
3.5%
㈜범아엔지니어링 (02-3487-0011) 254
 
2.5%
한진정보통신(주) 공간영상개발팀(02-2166-7436) 190
 
1.9%
새한항업(주) (02-3439-2310) 152
 
1.5%
한진정보통신(주) 공간영상사업팀 120
 
1.2%
Other values (14) 772
 
7.7%

Length

2023-12-13T01:04:42.840705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국토지리정보원(031-210-2600 4003
28.9%
na 1887
13.6%
국토지리정보원 1606
11.6%
공간영상과(031-210-2675 1545
 
11.2%
한진정보통신(주 1119
 
8.1%
컨소시엄 472
 
3.4%
주)신한항업 357
 
2.6%
02-2108-3700 357
 
2.6%
gis개발팀(02-3660-6588 350
 
2.5%
㈜범아엔지니어링 254
 
1.8%
Other values (19) 1905
13.7%

발행자
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5153 
국토지리정보원장(031-210-2675)
1350 
국토지리정보원(031-210-2644)
883 
국토지리정보원 공간영상과(031-210-2670)
867 
국토지리정보원 (031-210-2644)
 
349
Other values (11)
1398 

Length

Max length27
Median length4
Mean length12.25
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row국토지리정보원 (031-210-2644)
4th row<NA>
5th row국토지리정보원장(031-210-2675)

Common Values

ValueCountFrequency (%)
<NA> 5153
51.5%
국토지리정보원장(031-210-2675) 1350
 
13.5%
국토지리정보원(031-210-2644) 883
 
8.8%
국토지리정보원 공간영상과(031-210-2670) 867
 
8.7%
국토지리정보원 (031-210-2644) 349
 
3.5%
국토지리정보원 공간영상과 322
 
3.2%
건설교통부 국토정보기획팀 314
 
3.1%
국토지리정보원(031-210-2675) 186
 
1.9%
한진정보통신(주) 공간영상사업팀 120
 
1.2%
국토지리정보원 101
 
1.0%
Other values (6) 355
 
3.5%

Length

2023-12-13T01:04:42.983771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5153
41.9%
국토지리정보원 1969
 
16.0%
국토지리정보원장(031-210-2675 1350
 
11.0%
국토지리정보원(031-210-2644 883
 
7.2%
공간영상과(031-210-2670 867
 
7.0%
031-210-2644 349
 
2.8%
공간영상과 322
 
2.6%
건설교통부 314
 
2.6%
국토정보기획팀 314
 
2.6%
국토지리정보원(031-210-2675 186
 
1.5%
Other values (8) 595
 
4.8%

참고사항
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9651 
없음.
 
349

Length

Max length4
Median length4
Mean length3.9651
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row없음.
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9651
96.5%
없음. 349
 
3.5%

Length

2023-12-13T01:04:43.096783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:04:43.183404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9651
96.5%
없음 349
 
3.5%

예비
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9655 
없음.
 
345

Length

Max length4
Median length4
Mean length3.9655
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row없음.
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9655
96.5%
없음. 345
 
3.5%

Length

2023-12-13T01:04:43.275110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:04:43.375777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9655
96.5%
없음 345
 
3.5%

DTD보유여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
7656 
True
2344 
ValueCountFrequency (%)
False 7656
76.6%
True 2344
 
23.4%
2023-12-13T01:04:43.451377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음영기복도보유유무
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
8000 
False
2000 
ValueCountFrequency (%)
True 8000
80.0%
False 2000
 
20.0%
2023-12-13T01:04:43.534048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관측기록부유무
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8672 
True
1328 
ValueCountFrequency (%)
False 8672
86.7%
True 1328
 
13.3%
2023-12-13T01:04:43.616174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

촬영기록부유무
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
7391 
True
2609 
ValueCountFrequency (%)
False 7391
73.9%
True 2609
 
26.1%
2023-12-13T01:04:43.691621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

GPSINS처리결과보고서여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9777 
True
 
223
ValueCountFrequency (%)
False 9777
97.8%
True 223
 
2.2%
2023-12-13T01:04:43.763387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

GPS기준국점의조서유무
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8547 
True
1453 
ValueCountFrequency (%)
False 8547
85.5%
True 1453
 
14.5%
2023-12-13T01:04:43.848063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

원시좌하단의평면X좌표
Real number (ℝ)

MISSING 

Distinct4103
Distinct (%)48.7%
Missing1575
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean200487.47
Minimum104481
Maximum314867.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:04:43.970718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104481
5-th percentile122636.6
Q1163080
median199860
Q3237590
95-th percentile279438
Maximum314867.75
Range210386.75
Interquartile range (IQR)74510

Descriptive statistics

Standard deviation48211.084
Coefficient of variation (CV)0.24046931
Kurtosis-0.94808048
Mean200487.47
Median Absolute Deviation (MAD)37580
Skewness0.045447048
Sum1.6891069 × 109
Variance2.3243086 × 109
MonotonicityNot monotonic
2023-12-13T01:04:44.104247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
220207.0 53
 
0.5%
199600.0 27
 
0.3%
197480.0 25
 
0.2%
184160.0 24
 
0.2%
199900.0 20
 
0.2%
190770.0 20
 
0.2%
188500.0 20
 
0.2%
195310.0 17
 
0.2%
192990.0 15
 
0.1%
184060.0 14
 
0.1%
Other values (4093) 8190
81.9%
(Missing) 1575
 
15.8%
ValueCountFrequency (%)
104481.0 1
 
< 0.1%
104513.0 1
 
< 0.1%
106732.0 1
 
< 0.1%
108480.0 1
 
< 0.1%
108620.0 1
 
< 0.1%
108670.0 1
 
< 0.1%
108790.0 1
 
< 0.1%
108810.0 1
 
< 0.1%
108862.0 1
 
< 0.1%
108900.0 5
0.1%
ValueCountFrequency (%)
314867.75 1
< 0.1%
314829.41 1
< 0.1%
312620.47 1
< 0.1%
312507.28 1
< 0.1%
310595.0 1
< 0.1%
310558.19 1
< 0.1%
310447.91 1
< 0.1%
310288.97 1
< 0.1%
308309.94 1
< 0.1%
308237.59 1
< 0.1%

Sample

원시좌하단의평면Y좌표원시우상단의평면X좌표원시우상단의평면Y좌표원시지리좌표계구축구분코드도엽번호5000자료명칭도엽명5000원시자료원시자료획득방법자료형식원시자료제작년도격자간격단위보간방법좌하단의평면X좌표좌하단의평면Y좌표우상단의평면X좌표우상단의평면Y좌표지리좌표계좌표계원점구분표고기준높이값종류최고표고최저표고자료기록형식정확도제작자발행자참고사항예비DTD보유여부음영기복도보유유무관측기록부유무촬영기록부유무GPSINS처리결과보고서여부GPS기준국점의조서유무원시좌하단의평면X좌표
10909314160.0233430.0316990.03PDT00236710065수치표고자료대전065<NA><NA>ASCII200110 mMTIN<NA><NA><NA><NA>1<NA>중부<NA><NA>189.740.0Row Major Upper-Left0.73<NA><NA><NA><NA>NNNNNN231130.0
21700205790.0200140.0208840.02PDT00235812060수치표고자료밀양060<NA><NA>ASCII200310 mMTIN<NA><NA><NA><NA>1<NA>동부<NA><NA>534.23.2Row Major Upper-Left0<NA><NA><NA><NA>NNNNNN197580.0
2111541438.0186447.0541794.01PDT00237612014수치표고자료안양014수치표고자료항공레이저 측량ASCII20091m x 1mmTIN<NA><NA><NA><NA>1평면직각좌표계중부인천항의 평균해수면정표고87.842.01Upper-Left<NA><NA>국토지리정보원 (031-210-2644)없음.없음.NYYYNY184469.0
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2562<NA><NA><NA>3PDT00235901039수치표고자료경주039수치지도<NA>ASCII200210 mMTIN<NA><NA><NA><NA>1<NA>중부<NA><NA><NA><NA><NA><NA><NA>국토지리정보원(031-210-2644)<NA><NA>NNNNNN<NA>
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