Overview

Dataset statistics

Number of variables34
Number of observations5606
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory295.0 B

Variable types

Numeric19
DateTime1
Categorical11
Boolean3

Dataset

Description국토지리정보원의 항공사진 관련 메타데이터 중 구 위성영상 구축현황 정보입니다. (위성일련번호, 촬영년월일, 위성영상PATH, 위성영상ROW 등)
Author국토교통부 국토지리정보원
URLhttps://www.data.go.kr/data/15067680/fileData.do

Alerts

적합성수준 has constant value ""Constant
타원체 is highly imbalanced (68.3%)Imbalance
지구모형 is highly imbalanced (72.7%)Imbalance
지도투영 is highly imbalanced (94.8%)Imbalance
픽셀당바이트수 is highly imbalanced (97.2%)Imbalance
촬영시각 has 1199 (21.4%) zerosZeros
위도_북서 has 106 (1.9%) zerosZeros
위도_북동 has 106 (1.9%) zerosZeros
위도_남서 has 106 (1.9%) zerosZeros
위도_남동 has 106 (1.9%) zerosZeros
경도_북서 has 106 (1.9%) zerosZeros
경도_북동 has 106 (1.9%) zerosZeros
경도_남서 has 106 (1.9%) zerosZeros
경도_남동 has 106 (1.9%) zerosZeros

Reproduction

Analysis started2023-12-12 06:26:19.517036
Analysis finished2023-12-12 06:26:20.201535
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위성일련번호
Real number (ℝ)

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5415626
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:20.250614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q16
median6
Q312
95-th percentile12
Maximum15
Range14
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.9772799
Coefficient of variation (CV)0.34856384
Kurtosis-1.8350575
Mean8.5415626
Median Absolute Deviation (MAD)0
Skewness0.25084816
Sum47884
Variance8.8641955
MonotonicityNot monotonic
2023-12-12T15:26:20.372350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
6 2998
53.5%
12 2185
39.0%
11 203
 
3.6%
5 122
 
2.2%
8 45
 
0.8%
13 19
 
0.3%
2 16
 
0.3%
14 8
 
0.1%
7 4
 
0.1%
10 2
 
< 0.1%
Other values (3) 4
 
0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 16
 
0.3%
5 122
 
2.2%
6 2998
53.5%
7 4
 
0.1%
8 45
 
0.8%
9 2
 
< 0.1%
10 2
 
< 0.1%
11 203
 
3.6%
12 2185
39.0%
ValueCountFrequency (%)
15 1
 
< 0.1%
14 8
 
0.1%
13 19
 
0.3%
12 2185
39.0%
11 203
 
3.6%
10 2
 
< 0.1%
9 2
 
< 0.1%
8 45
 
0.8%
7 4
 
0.1%
6 2998
53.5%
Distinct651
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size43.9 KiB
Minimum1973-10-08 00:00:00
Maximum2004-09-30 00:00:00
2023-12-12T15:26:20.529602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:26:20.692195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위성영성PATH
Real number (ℝ)

Distinct94
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean553.25562
Minimum81
Maximum963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:21.145725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81
5-th percentile111
Q1117
median916
Q3931
95-th percentile949
Maximum963
Range882
Interquartile range (IQR)814

Descriptive statistics

Standard deviation406.27856
Coefficient of variation (CV)0.7343415
Kurtosis-1.9756154
Mean553.25562
Median Absolute Deviation (MAD)36
Skewness-0.14148071
Sum3101551
Variance165062.27
MonotonicityNot monotonic
2023-12-12T15:26:21.322034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115 252
 
4.5%
113 212
 
3.8%
927 199
 
3.5%
116 194
 
3.5%
117 158
 
2.8%
114 157
 
2.8%
923 157
 
2.8%
112 156
 
2.8%
920 152
 
2.7%
124 140
 
2.5%
Other values (84) 3829
68.3%
ValueCountFrequency (%)
81 1
 
< 0.1%
83 7
0.1%
84 10
0.2%
85 12
0.2%
86 16
0.3%
87 16
0.3%
88 15
0.3%
89 12
0.2%
90 9
0.2%
91 7
0.1%
ValueCountFrequency (%)
963 1
 
< 0.1%
962 24
0.4%
961 10
 
0.2%
960 5
 
0.1%
959 22
0.4%
958 19
0.3%
957 13
0.2%
956 17
0.3%
955 28
0.5%
954 19
0.3%

위성영상ROW
Real number (ℝ)

Distinct145
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean741.34356
Minimum25
Maximum1398
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:21.500235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile29
Q134
median1312
Q31350
95-th percentile1379
Maximum1398
Range1373
Interquartile range (IQR)1316

Descriptive statistics

Standard deviation650.45223
Coefficient of variation (CV)0.87739647
Kurtosis-1.9692928
Mean741.34356
Median Absolute Deviation (MAD)70.5
Skewness-0.14479684
Sum4155972
Variance423088.1
MonotonicityNot monotonic
2023-12-12T15:26:21.663059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 299
 
5.3%
33 251
 
4.5%
32 248
 
4.4%
35 241
 
4.3%
36 239
 
4.3%
31 239
 
4.3%
30 181
 
3.2%
37 165
 
2.9%
29 157
 
2.8%
28 100
 
1.8%
Other values (135) 3486
62.2%
ValueCountFrequency (%)
25 22
 
0.4%
26 34
 
0.6%
27 75
 
1.3%
28 100
 
1.8%
29 157
2.8%
30 181
3.2%
31 239
4.3%
32 248
4.4%
33 251
4.5%
34 299
5.3%
ValueCountFrequency (%)
1398 9
0.2%
1397 9
0.2%
1396 9
0.2%
1395 8
0.1%
1394 8
0.1%
1393 9
0.2%
1392 11
0.2%
1391 8
0.1%
1390 9
0.2%
1389 10
0.2%

촬영시각
Real number (ℝ)

ZEROS 

Distinct3363
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13506524
Minimum0
Maximum30929900
Zeros1199
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:21.824675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112508250
median14627500
Q320329125
95-th percentile24119500
Maximum30929900
Range30929900
Interquartile range (IQR)7820875

Descriptive statistics

Standard deviation7989449.3
Coefficient of variation (CV)0.59152521
Kurtosis-0.54613578
Mean13506524
Median Absolute Deviation (MAD)5395000
Skewness-0.54437854
Sum7.5717572 × 1010
Variance6.38313 × 1013
MonotonicityNot monotonic
2023-12-12T15:26:21.991256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1199
 
21.4%
15313000 5
 
0.1%
15140000 5
 
0.1%
14749000 5
 
0.1%
15144000 5
 
0.1%
15317000 5
 
0.1%
15142000 5
 
0.1%
14847000 5
 
0.1%
15300000 4
 
0.1%
15315000 4
 
0.1%
Other values (3353) 4364
77.8%
ValueCountFrequency (%)
0 1199
21.4%
10537000 1
 
< 0.1%
10619100 1
 
< 0.1%
10626000 1
 
< 0.1%
10640000 1
 
< 0.1%
10649100 1
 
< 0.1%
10714000 1
 
< 0.1%
10838300 1
 
< 0.1%
11238100 1
 
< 0.1%
11256000 1
 
< 0.1%
ValueCountFrequency (%)
30929900 1
< 0.1%
30928400 1
< 0.1%
30923900 2
< 0.1%
30919800 1
< 0.1%
30918600 1
< 0.1%
30910500 1
< 0.1%
30906000 1
< 0.1%
30904500 1
< 0.1%
30900000 2
< 0.1%
30855900 1
< 0.1%

제품포맷
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.9 KiB
HDF
3014 
GEOTIFF
2101 
LGSOWG
304 
FAST-L7A
 
85
FAST-B
 
43
Other values (2)
 
59

Length

Max length8
Median length3
Mean length4.7656083
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
HDF 3014
53.8%
GEOTIFF 2101
37.5%
LGSOWG 304
 
5.4%
FAST-L7A 85
 
1.5%
FAST-B 43
 
0.8%
NDF 31
 
0.6%
SPIM 28
 
0.5%

Length

2023-12-12T15:26:22.185169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:26:22.355065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
hdf 3014
53.8%
geotiff 2101
37.5%
lgsowg 304
 
5.4%
fast-l7a 85
 
1.5%
fast-b 43
 
0.8%
ndf 31
 
0.6%
spim 28
 
0.5%

해상도레벨
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.366928
Minimum9
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:22.483851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile10
Q110
median10
Q313
95-th percentile13
Maximum14
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.4815083
Coefficient of variation (CV)0.13033497
Kurtosis-1.9318749
Mean11.366928
Median Absolute Deviation (MAD)0
Skewness0.18397724
Sum63723
Variance2.1948668
MonotonicityNot monotonic
2023-12-12T15:26:22.619717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
10 2998
53.5%
13 2436
43.5%
12 122
 
2.2%
11 28
 
0.5%
14 21
 
0.4%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
10 2998
53.5%
11 28
 
0.5%
12 122
 
2.2%
13 2436
43.5%
14 21
 
0.4%
ValueCountFrequency (%)
14 21
 
0.4%
13 2436
43.5%
12 122
 
2.2%
11 28
 
0.5%
10 2998
53.5%
9 1
 
< 0.1%

적합성수준
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.9 KiB
1
5606 

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 5606
100.0%

Length

2023-12-12T15:26:22.748381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:26:22.840212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5606
100.0%

처리레벨
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.9 KiB
1R
3057 
1G
2399 
2
 
113
1A
 
28
1
 
9

Length

Max length2
Median length2
Mean length1.9782376
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1G
2nd row1G
3rd row1G
4th row1G
5th row1G

Common Values

ValueCountFrequency (%)
1R 3057
54.5%
1G 2399
42.8%
2 113
 
2.0%
1A 28
 
0.5%
1 9
 
0.2%

Length

2023-12-12T15:26:22.974471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:26:23.125338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1r 3057
54.5%
1g 2399
42.8%
2 113
 
2.0%
1a 28
 
0.5%
1 9
 
0.2%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.9 KiB
BL
2998 
NN
2206 
CC
347 
NONE
 
53
UNKNOWN
 
2

Length

Max length7
Median length2
Mean length2.0206921
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
BL 2998
53.5%
NN 2206
39.4%
CC 347
 
6.2%
NONE 53
 
0.9%
UNKNOWN 2
 
< 0.1%

Length

2023-12-12T15:26:23.302242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:26:23.441164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bl 2998
53.5%
nn 2206
39.4%
cc 347
 
6.2%
none 53
 
0.9%
unknown 2
 
< 0.1%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.9 KiB
2
3300 
1
2305 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
2 3300
58.9%
1 2305
41.1%
4 1
 
< 0.1%

Length

2023-12-12T15:26:23.576753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:26:23.703250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 3300
58.9%
1 2305
41.1%
4 1
 
< 0.1%

태양방위각
Real number (ℝ)

Distinct2888
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.66569
Minimum0
Maximum172
Zeros16
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:23.848234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile116.435
Q1133.7925
median143.12
Q3150.6525
95-th percentile158
Maximum172
Range172
Interquartile range (IQR)16.86

Descriptive statistics

Standard deviation14.843382
Coefficient of variation (CV)0.10552241
Kurtosis21.686355
Mean140.66569
Median Absolute Deviation (MAD)8.25
Skewness-2.8036433
Sum788571.84
Variance220.326
MonotonicityNot monotonic
2023-12-12T15:26:24.038444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
149.7 19
 
0.3%
157.15 18
 
0.3%
144.38 18
 
0.3%
157.99 17
 
0.3%
0.0 16
 
0.3%
159.0 16
 
0.3%
149.44 15
 
0.3%
158.0 14
 
0.2%
147.69 13
 
0.2%
160.0 13
 
0.2%
Other values (2878) 5447
97.2%
ValueCountFrequency (%)
0.0 16
0.3%
92.4 1
 
< 0.1%
92.72 1
 
< 0.1%
94.35 1
 
< 0.1%
95.66 1
 
< 0.1%
96.21 1
 
< 0.1%
97.84 1
 
< 0.1%
98.06 1
 
< 0.1%
98.35 1
 
< 0.1%
98.95 1
 
< 0.1%
ValueCountFrequency (%)
172.0 1
 
< 0.1%
171.1 1
 
< 0.1%
170.0 7
0.1%
169.0 4
0.1%
168.0 2
 
< 0.1%
167.0 1
 
< 0.1%
166.0 5
0.1%
165.7 1
 
< 0.1%
165.0 3
0.1%
164.7 1
 
< 0.1%

태양고도
Real number (ℝ)

Distinct3150
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.785706
Minimum-1.5
Maximum73.9
Zeros16
Zeros (%)0.3%
Negative1
Negative (%)< 0.1%
Memory size49.4 KiB
2023-12-12T15:26:24.276432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.5
5-th percentile22.62
Q131.14
median46
Q358
95-th percentile65.2
Maximum73.9
Range75.4
Interquartile range (IQR)26.86

Descriptive statistics

Standard deviation14.544481
Coefficient of variation (CV)0.32475722
Kurtosis-1.0769859
Mean44.785706
Median Absolute Deviation (MAD)13
Skewness-0.19147411
Sum251068.67
Variance211.54194
MonotonicityNot monotonic
2023-12-12T15:26:24.478934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60.0 29
 
0.5%
59.0 18
 
0.3%
58.0 18
 
0.3%
0.0 16
 
0.3%
44.0 16
 
0.3%
57.0 16
 
0.3%
63.0 15
 
0.3%
61.0 14
 
0.2%
45.0 13
 
0.2%
56.0 12
 
0.2%
Other values (3140) 5439
97.0%
ValueCountFrequency (%)
-1.5 1
 
< 0.1%
0.0 16
0.3%
3.98 1
 
< 0.1%
15.17 1
 
< 0.1%
15.76 1
 
< 0.1%
16.38 1
 
< 0.1%
16.89 1
 
< 0.1%
16.91 1
 
< 0.1%
16.98 1
 
< 0.1%
17.0 1
 
< 0.1%
ValueCountFrequency (%)
73.9 1
 
< 0.1%
73.4 1
 
< 0.1%
72.0 5
0.1%
71.0 2
 
< 0.1%
70.4 1
 
< 0.1%
69.96 1
 
< 0.1%
69.9 1
 
< 0.1%
69.8 1
 
< 0.1%
69.67 1
 
< 0.1%
69.61 1
 
< 0.1%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.9 KiB
ASCENDINGORBIT
2998 
DESCENDINGORBIT
2607 
UNKNOWN
 
1

Length

Max length15
Median length14
Mean length14.463789
Min length7

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
ASCENDINGORBIT 2998
53.5%
DESCENDINGORBIT 2607
46.5%
UNKNOWN 1
 
< 0.1%

Length

2023-12-12T15:26:24.676020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:26:24.840262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ascendingorbit 2998
53.5%
descendingorbit 2607
46.5%
unknown 1
 
< 0.1%

위도_중앙
Real number (ℝ)

Distinct288
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.782299
Minimum25.97
Maximum50.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:25.011965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.97
5-th percentile33.18
Q136.05
median38.89
Q341.15
95-th percentile44.61
Maximum50.3
Range24.33
Interquartile range (IQR)5.1

Descriptive statistics

Standard deviation3.6994773
Coefficient of variation (CV)0.095390872
Kurtosis0.54285992
Mean38.782299
Median Absolute Deviation (MAD)2.59
Skewness0.026335378
Sum217413.57
Variance13.686133
MonotonicityNot monotonic
2023-12-12T15:26:25.210335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.04 156
 
2.8%
37.47 141
 
2.5%
38.9 127
 
2.3%
40.33 123
 
2.2%
41.76 119
 
2.1%
34.61 118
 
2.1%
33.18 100
 
1.8%
44.61 91
 
1.6%
43.18 63
 
1.1%
37.49 62
 
1.1%
Other values (278) 4506
80.4%
ValueCountFrequency (%)
25.97 2
 
< 0.1%
25.99 9
0.2%
26.0 1
 
< 0.1%
26.01 1
 
< 0.1%
27.41 3
 
0.1%
27.42 2
 
< 0.1%
27.43 16
0.3%
27.44 1
 
< 0.1%
27.45 2
 
< 0.1%
28.85 4
 
0.1%
ValueCountFrequency (%)
50.3 1
 
< 0.1%
50.29 3
 
0.1%
50.28 12
0.2%
50.27 2
 
< 0.1%
50.26 3
 
0.1%
50.25 1
 
< 0.1%
48.88 4
 
0.1%
48.87 18
0.3%
48.86 5
 
0.1%
48.85 4
 
0.1%

위도_북서
Real number (ℝ)

ZEROS 

Distinct406
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.502192
Minimum0
Maximum51.31
Zeros106
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:25.406316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32.7
Q136.54
median38.88
Q341.31
95-th percentile45.59
Maximum51.31
Range51.31
Interquartile range (IQR)4.77

Descriptive statistics

Standard deviation6.506734
Coefficient of variation (CV)0.16899645
Kurtosis20.638187
Mean38.502192
Median Absolute Deviation (MAD)2.42
Skewness-3.7609891
Sum215843.29
Variance42.337587
MonotonicityNot monotonic
2023-12-12T15:26:25.565054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.44 157
 
2.8%
39.87 139
 
2.5%
35.57 122
 
2.2%
41.3 118
 
2.1%
42.73 110
 
2.0%
0.0 106
 
1.9%
44.16 92
 
1.6%
37.0 76
 
1.4%
37.01 67
 
1.2%
45.58 59
 
1.1%
Other values (396) 4560
81.3%
ValueCountFrequency (%)
0.0 106
1.9%
26.93 1
 
< 0.1%
26.94 5
 
0.1%
26.95 5
 
0.1%
26.96 1
 
< 0.1%
26.97 1
 
< 0.1%
28.37 2
 
< 0.1%
28.38 12
 
0.2%
28.39 7
 
0.1%
28.4 1
 
< 0.1%
ValueCountFrequency (%)
51.31 1
 
< 0.1%
51.3 3
 
0.1%
51.29 1
 
< 0.1%
51.28 4
 
0.1%
51.27 12
0.2%
51.26 1
 
< 0.1%
49.89 2
 
< 0.1%
49.88 4
 
0.1%
49.87 2
 
< 0.1%
49.86 9
0.2%

위도_북동
Real number (ℝ)

ZEROS 

Distinct401
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.382276
Minimum0
Maximum50.89
Zeros106
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:25.721011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32.41
Q136.55
median38.91
Q341.13
95-th percentile45.24
Maximum50.89
Range50.89
Interquartile range (IQR)4.58

Descriptive statistics

Standard deviation6.4767614
Coefficient of variation (CV)0.16874355
Kurtosis20.762922
Mean38.382276
Median Absolute Deviation (MAD)2.33
Skewness-3.7960899
Sum215171.04
Variance41.948438
MonotonicityNot monotonic
2023-12-12T15:26:25.878977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.13 137
 
2.4%
39.55 116
 
2.1%
36.7 114
 
2.0%
35.27 111
 
2.0%
0.0 106
 
1.9%
42.4 98
 
1.7%
33.84 95
 
1.7%
43.82 92
 
1.6%
40.98 72
 
1.3%
32.41 64
 
1.1%
Other values (391) 4601
82.1%
ValueCountFrequency (%)
0.0 106
1.9%
26.65 2
 
< 0.1%
26.66 1
 
< 0.1%
26.67 8
 
0.1%
26.68 2
 
< 0.1%
28.08 3
 
0.1%
28.09 2
 
< 0.1%
28.1 5
 
0.1%
28.11 12
 
0.2%
28.12 2
 
< 0.1%
ValueCountFrequency (%)
50.89 4
 
0.1%
50.88 11
0.2%
50.87 3
 
0.1%
50.86 3
 
0.1%
50.85 1
 
< 0.1%
49.49 3
 
0.1%
49.48 8
0.1%
49.47 14
0.2%
49.46 4
 
0.1%
49.45 5
 
0.1%

위도_남서
Real number (ℝ)

ZEROS 

Distinct404
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.72213
Minimum0
Maximum49.69
Zeros106
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:26.048508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31.06
Q135.72
median38.27
Q340.94
95-th percentile43.99
Maximum49.69
Range49.69
Interquartile range (IQR)5.22

Descriptive statistics

Standard deviation6.4096296
Coefficient of variation (CV)0.16991696
Kurtosis20.125936
Mean37.72213
Median Absolute Deviation (MAD)2.63
Skewness-3.763186
Sum211470.26
Variance41.083352
MonotonicityNot monotonic
2023-12-12T15:26:26.245915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.24 125
 
2.2%
35.37 124
 
2.2%
39.67 119
 
2.1%
41.1 112
 
2.0%
36.81 112
 
2.0%
0.0 106
 
1.9%
32.5 100
 
1.8%
42.53 97
 
1.7%
43.96 94
 
1.7%
33.94 77
 
1.4%
Other values (394) 4540
81.0%
ValueCountFrequency (%)
0.0 106
1.9%
25.29 1
 
< 0.1%
25.3 6
 
0.1%
25.31 3
 
0.1%
25.32 1
 
< 0.1%
25.33 2
 
< 0.1%
26.73 2
 
< 0.1%
26.74 13
 
0.2%
26.75 4
 
0.1%
26.76 2
 
< 0.1%
ValueCountFrequency (%)
49.69 3
 
0.1%
49.68 1
 
< 0.1%
49.67 3
 
0.1%
49.66 7
0.1%
49.65 7
0.1%
49.64 1
 
< 0.1%
48.27 3
 
0.1%
48.26 3
 
0.1%
48.25 5
 
0.1%
48.24 14
0.2%

위도_남동
Real number (ℝ)

ZEROS 

Distinct418
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.605237
Minimum0
Maximum49.29
Zeros106
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:26.447149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.78
Q135.65
median38.2
Q340.7675
95-th percentile43.85
Maximum49.29
Range49.29
Interquartile range (IQR)5.1175

Descriptive statistics

Standard deviation6.3995219
Coefficient of variation (CV)0.17017635
Kurtosis19.983303
Mean37.605237
Median Absolute Deviation (MAD)2.56
Skewness-3.761973
Sum210814.96
Variance40.953881
MonotonicityNot monotonic
2023-12-12T15:26:26.616917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.5 135
 
2.4%
37.93 118
 
2.1%
39.35 113
 
2.0%
42.2 112
 
2.0%
35.07 112
 
2.0%
33.64 110
 
2.0%
0.0 106
 
1.9%
40.78 98
 
1.7%
32.21 92
 
1.6%
43.62 90
 
1.6%
Other values (408) 4520
80.6%
ValueCountFrequency (%)
0.0 106
1.9%
25.01 2
 
< 0.1%
25.02 1
 
< 0.1%
25.03 7
 
0.1%
25.04 2
 
< 0.1%
25.05 1
 
< 0.1%
26.45 3
 
0.1%
26.46 2
 
< 0.1%
26.47 16
 
0.3%
26.48 2
 
< 0.1%
ValueCountFrequency (%)
49.29 3
 
0.1%
49.28 12
0.2%
49.27 3
 
0.1%
49.26 2
 
< 0.1%
49.25 2
 
< 0.1%
47.88 5
 
0.1%
47.87 19
0.3%
47.86 5
 
0.1%
47.85 3
 
0.1%
47.84 2
 
< 0.1%

경도_중앙
Real number (ℝ)

Distinct1405
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.37091
Minimum108.32
Maximum137.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:26.788446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum108.32
5-th percentile114.24
Q1125.53
median127.3
Q3128.9
95-th percentile133.92
Maximum137.87
Range29.55
Interquartile range (IQR)3.37

Descriptive statistics

Standard deviation5.1672562
Coefficient of variation (CV)0.040889603
Kurtosis2.1565979
Mean126.37091
Median Absolute Deviation (MAD)1.69
Skewness-1.2455568
Sum708435.3
Variance26.700537
MonotonicityNot monotonic
2023-12-12T15:26:26.942368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.88 19
 
0.3%
128.15 17
 
0.3%
127.73 17
 
0.3%
127.85 17
 
0.3%
127.48 16
 
0.3%
127.46 15
 
0.3%
126.6 15
 
0.3%
127.33 15
 
0.3%
126.65 15
 
0.3%
128.99 15
 
0.3%
Other values (1395) 5445
97.1%
ValueCountFrequency (%)
108.32 1
 
< 0.1%
108.33 1
 
< 0.1%
108.34 1
 
< 0.1%
108.36 4
0.1%
108.37 3
0.1%
108.39 3
0.1%
108.72 1
 
< 0.1%
108.73 1
 
< 0.1%
108.74 1
 
< 0.1%
108.76 4
0.1%
ValueCountFrequency (%)
137.87 1
 
< 0.1%
137.86 2
< 0.1%
137.85 3
0.1%
137.83 2
< 0.1%
137.81 2
< 0.1%
137.8 1
 
< 0.1%
137.43 3
0.1%
137.42 1
 
< 0.1%
137.41 3
0.1%
137.4 1
 
< 0.1%

경도_북서
Real number (ℝ)

ZEROS 

Distinct1376
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.50391
Minimum0
Maximum137
Zeros106
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:27.084592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile111.5825
Q1125.15
median126.95
Q3128.54
95-th percentile133.07
Maximum137
Range137
Interquartile range (IQR)3.39

Descriptive statistics

Standard deviation17.92995
Coefficient of variation (CV)0.14517719
Kurtosis39.646532
Mean123.50391
Median Absolute Deviation (MAD)1.68
Skewness-6.1809944
Sum692362.9
Variance321.4831
MonotonicityNot monotonic
2023-12-12T15:26:27.640451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 106
 
1.9%
127.62 24
 
0.4%
127.31 16
 
0.3%
126.47 16
 
0.3%
127.7 16
 
0.3%
127.65 15
 
0.3%
127.27 15
 
0.3%
128.13 15
 
0.3%
128.09 15
 
0.3%
127.02 15
 
0.3%
Other values (1366) 5353
95.5%
ValueCountFrequency (%)
0.0 106
1.9%
107.52 2
 
< 0.1%
107.53 1
 
< 0.1%
107.54 3
 
0.1%
107.55 3
 
0.1%
107.56 2
 
< 0.1%
107.57 2
 
< 0.1%
107.9 1
 
< 0.1%
107.91 1
 
< 0.1%
107.92 2
 
< 0.1%
ValueCountFrequency (%)
137.0 1
 
< 0.1%
136.99 1
 
< 0.1%
136.97 3
0.1%
136.96 2
< 0.1%
136.95 3
0.1%
136.93 1
 
< 0.1%
136.58 1
 
< 0.1%
136.57 1
 
< 0.1%
136.55 4
0.1%
136.54 3
0.1%

경도_북동
Real number (ℝ)

ZEROS 

Distinct1576
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.58693
Minimum0
Maximum139.26
Zeros106
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:27.906720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile113.8375
Q1125.6425
median127.5
Q3129.27
95-th percentile135.2575
Maximum139.26
Range139.26
Interquartile range (IQR)3.6275

Descriptive statistics

Standard deviation18.026102
Coefficient of variation (CV)0.14468694
Kurtosis40.226571
Mean124.58693
Median Absolute Deviation (MAD)1.82
Skewness-6.2323666
Sum698434.34
Variance324.94037
MonotonicityNot monotonic
2023-12-12T15:26:28.141418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 106
 
1.9%
128.36 17
 
0.3%
126.84 16
 
0.3%
129.34 16
 
0.3%
127.37 16
 
0.3%
126.32 16
 
0.3%
127.3 15
 
0.3%
126.87 15
 
0.3%
125.74 15
 
0.3%
128.57 14
 
0.2%
Other values (1566) 5360
95.6%
ValueCountFrequency (%)
0.0 106
1.9%
109.56 1
 
< 0.1%
109.58 2
 
< 0.1%
109.6 2
 
< 0.1%
109.61 2
 
< 0.1%
109.65 1
 
< 0.1%
109.66 2
 
< 0.1%
109.68 3
 
0.1%
109.98 1
 
< 0.1%
110.0 2
 
< 0.1%
ValueCountFrequency (%)
139.26 3
0.1%
139.24 2
< 0.1%
139.22 1
 
< 0.1%
139.19 1
 
< 0.1%
139.18 1
 
< 0.1%
139.16 2
< 0.1%
139.15 1
 
< 0.1%
138.8 1
 
< 0.1%
138.79 3
0.1%
138.78 2
< 0.1%

경도_남서
Real number (ℝ)

ZEROS 

Distinct1324
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.33047
Minimum0
Maximum136.52
Zeros106
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:28.336077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile111.0725
Q1125.09
median126.89
Q3128.47
95-th percentile132.57
Maximum136.52
Range136.52
Interquartile range (IQR)3.38

Descriptive statistics

Standard deviation17.92835
Coefficient of variation (CV)0.14536838
Kurtosis39.423483
Mean123.33047
Median Absolute Deviation (MAD)1.66
Skewness-6.1593611
Sum691390.62
Variance321.42574
MonotonicityNot monotonic
2023-12-12T15:26:28.542452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 106
 
1.9%
125.67 18
 
0.3%
128.4 18
 
0.3%
127.66 17
 
0.3%
126.35 17
 
0.3%
126.96 17
 
0.3%
127.67 16
 
0.3%
127.63 16
 
0.3%
128.07 16
 
0.3%
128.37 15
 
0.3%
Other values (1314) 5350
95.4%
ValueCountFrequency (%)
0.0 106
1.9%
107.09 2
 
< 0.1%
107.1 1
 
< 0.1%
107.11 3
 
0.1%
107.12 3
 
0.1%
107.13 2
 
< 0.1%
107.14 2
 
< 0.1%
107.46 1
 
< 0.1%
107.47 1
 
< 0.1%
107.48 2
 
< 0.1%
ValueCountFrequency (%)
136.52 1
 
< 0.1%
136.51 1
 
< 0.1%
136.49 5
0.1%
136.48 3
0.1%
136.46 1
 
< 0.1%
136.11 1
 
< 0.1%
136.1 1
 
< 0.1%
136.09 3
0.1%
136.08 3
0.1%
136.07 3
0.1%

경도_남동
Real number (ℝ)

ZEROS 

Distinct1571
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.39187
Minimum0
Maximum138.74
Zeros106
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:28.740884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile113.3425
Q1125.6325
median127.47
Q3129.1875
95-th percentile134.76
Maximum138.74
Range138.74
Interquartile range (IQR)3.555

Descriptive statistics

Standard deviation18.008215
Coefficient of variation (CV)0.14477003
Kurtosis40.127094
Mean124.39187
Median Absolute Deviation (MAD)1.77
Skewness-6.2251465
Sum697340.85
Variance324.29581
MonotonicityNot monotonic
2023-12-12T15:26:28.909336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 106
 
1.9%
125.7 17
 
0.3%
129.45 17
 
0.3%
127.8 15
 
0.3%
127.35 15
 
0.3%
126.67 15
 
0.3%
127.19 15
 
0.3%
128.08 15
 
0.3%
126.76 15
 
0.3%
127.83 15
 
0.3%
Other values (1561) 5361
95.6%
ValueCountFrequency (%)
0.0 106
1.9%
109.09 1
 
< 0.1%
109.11 2
 
< 0.1%
109.13 2
 
< 0.1%
109.14 2
 
< 0.1%
109.18 1
 
< 0.1%
109.2 2
 
< 0.1%
109.21 3
 
0.1%
109.5 1
 
< 0.1%
109.52 2
 
< 0.1%
ValueCountFrequency (%)
138.74 1
< 0.1%
138.73 2
< 0.1%
138.72 2
< 0.1%
138.7 1
< 0.1%
138.67 1
< 0.1%
138.65 1
< 0.1%
138.63 2
< 0.1%
138.62 1
< 0.1%
138.29 2
< 0.1%
138.28 2
< 0.1%

위성영상너비
Real number (ℝ)

Distinct503
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114581.24
Minimum7680
Maximum342960
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:29.133497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7680
5-th percentile17107.2
Q117107.2
median17107.2
Q3238470
95-th percentile243720
Maximum342960
Range335280
Interquartile range (IQR)221362.8

Descriptive statistics

Standard deviation108794.91
Coefficient of variation (CV)0.94950019
Kurtosis-1.8515427
Mean114581.24
Median Absolute Deviation (MAD)0
Skewness0.27444906
Sum6.4234245 × 108
Variance1.1836333 × 1010
MonotonicityNot monotonic
2023-12-12T15:26:29.297697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17107.2 2998
53.5%
207600.0 172
 
3.1%
81000.0 122
 
2.2%
60000.0 28
 
0.5%
283840.0 21
 
0.4%
240900.0 17
 
0.3%
7680.0 16
 
0.3%
238350.0 14
 
0.2%
241590.0 13
 
0.2%
241110.0 13
 
0.2%
Other values (493) 2192
39.1%
ValueCountFrequency (%)
7680.0 16
 
0.3%
17107.2 2998
53.5%
60000.0 28
 
0.5%
81000.0 122
 
2.2%
126600.0 2
 
< 0.1%
194610.0 2
 
< 0.1%
194730.0 1
 
< 0.1%
194760.0 2
 
< 0.1%
194820.0 4
 
0.1%
194850.0 2
 
< 0.1%
ValueCountFrequency (%)
342960.0 1
< 0.1%
341760.0 1
< 0.1%
341680.0 2
< 0.1%
341440.0 1
< 0.1%
340480.0 2
< 0.1%
340240.0 1
< 0.1%
338080.0 1
< 0.1%
337840.0 2
< 0.1%
337760.0 1
< 0.1%
337120.0 1
< 0.1%

위성영상길이
Real number (ℝ)

Distinct507
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105270.72
Minimum18453.6
Maximum317920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2023-12-12T15:26:29.510502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18453.6
5-th percentile18453.6
Q118453.6
median18453.6
Q3215422.5
95-th percentile221992.5
Maximum317920
Range299466.4
Interquartile range (IQR)196968.9

Descriptive statistics

Standard deviation96526.99
Coefficient of variation (CV)0.91694054
Kurtosis-1.8348592
Mean105270.72
Median Absolute Deviation (MAD)0
Skewness0.27662648
Sum5.9014766 × 108
Variance9.3174599 × 109
MonotonicityNot monotonic
2023-12-12T15:26:29.732626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18453.6 2998
53.5%
178950.0 168
 
3.0%
75600.0 113
 
2.0%
189480.0 33
 
0.6%
60000.0 28
 
0.5%
171990.0 21
 
0.4%
238640.0 21
 
0.4%
171840.0 21
 
0.4%
179970.0 20
 
0.4%
180000.0 19
 
0.3%
Other values (497) 2164
38.6%
ValueCountFrequency (%)
18453.6 2998
53.5%
60000.0 28
 
0.5%
75600.0 113
 
2.0%
87150.0 1
 
< 0.1%
89490.0 2
 
< 0.1%
93840.0 7
 
0.1%
93870.0 5
 
0.1%
96000.0 9
 
0.2%
166380.0 1
 
< 0.1%
170002.5 1
 
< 0.1%
ValueCountFrequency (%)
317920.0 1
< 0.1%
317520.0 1
< 0.1%
316400.0 1
< 0.1%
316320.0 1
< 0.1%
315680.0 1
< 0.1%
315360.0 1
< 0.1%
314720.0 2
< 0.1%
314320.0 1
< 0.1%
313520.0 1
< 0.1%
312880.0 1
< 0.1%

타원체
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.9 KiB
WGS-84
4407 
<NA>
1073 
NONE
 
53
WGS84
 
37
TOKYO
 
33
Other values (2)
 
3

Length

Max length6
Median length6
Mean length5.5858009
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
WGS-84 4407
78.6%
<NA> 1073
 
19.1%
NONE 53
 
0.9%
WGS84 37
 
0.7%
TOKYO 33
 
0.6%
WGS_84 2
 
< 0.1%
KRASSO 1
 
< 0.1%

Length

2023-12-12T15:26:29.923976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:26:30.082397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
wgs-84 4407
78.6%
na 1073
 
19.1%
none 53
 
0.9%
wgs84 37
 
0.7%
tokyo 33
 
0.6%
wgs_84 2
 
< 0.1%
krasso 1
 
< 0.1%

지구모형
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size43.9 KiB
WGS-84
4407 
WGS84
1066 
NONE
 
53
TOKYO
 
33
WGS 84
 
29
Other values (5)
 
18

Length

Max length11
Median length6
Mean length5.7909383
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st rowWGS84
2nd rowWGS84
3rd rowWGS84
4th rowWGS84
5th rowWGS84

Common Values

ValueCountFrequency (%)
WGS-84 4407
78.6%
WGS84 1066
 
19.0%
NONE 53
 
0.9%
TOKYO 33
 
0.6%
WGS 84 29
 
0.5%
WGS 1984 13
 
0.2%
WGS_84 2
 
< 0.1%
CLARKE_1866 1
 
< 0.1%
Airy 1
 
< 0.1%
KRASSOVSKY 1
 
< 0.1%

Length

2023-12-12T15:26:30.240810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:26:30.401749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
wgs-84 4407
78.0%
wgs84 1066
 
18.9%
none 53
 
0.9%
wgs 42
 
0.7%
tokyo 33
 
0.6%
84 29
 
0.5%
1984 13
 
0.2%
wgs_84 2
 
< 0.1%
clarke_1866 1
 
< 0.1%
airy 1
 
< 0.1%

지도투영
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.9 KiB
2
5550 
0
 
54
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 5550
99.0%
0 54
 
1.0%
3 2
 
< 0.1%

Length

2023-12-12T15:26:30.543794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:26:30.706669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 5550
99.0%
0 54
 
1.0%
3 2
 
< 0.1%

투영방향
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.9 KiB
Satellite North
3177 
Map North
2428 
UNKNOWN
 
1

Length

Max length15
Median length15
Mean length12.399929
Min length7

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowMap North
2nd rowMap North
3rd rowMap North
4th rowMap North
5th rowMap North

Common Values

ValueCountFrequency (%)
Satellite North 3177
56.7%
Map North 2428
43.3%
UNKNOWN 1
 
< 0.1%

Length

2023-12-12T15:26:30.864077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:26:31.019643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
north 5605
50.0%
satellite 3177
28.3%
map 2428
21.7%
unknown 1
 
< 0.1%

픽셀당바이트수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.9 KiB
1
5590 
2
 
16

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 5590
99.7%
2 16
 
0.3%

Length

2023-12-12T15:26:31.166556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:26:31.296549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5590
99.7%
2 16
 
0.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
False
3105 
True
2501 
ValueCountFrequency (%)
False 3105
55.4%
True 2501
44.6%
2023-12-12T15:26:31.411190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
False
3105 
True
2501 
ValueCountFrequency (%)
False 3105
55.4%
True 2501
44.6%
2023-12-12T15:26:31.535493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
False
3105 
True
2501 
ValueCountFrequency (%)
False 3105
55.4%
True 2501
44.6%
2023-12-12T15:26:31.632659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

위성일련번호촬영년월일위성영성PATH위성영상ROW촬영시각제품포맷해상도레벨적합성수준처리레벨리셈플링방법멀티밴드저장법태양방위각태양고도위성진행방향위도_중앙위도_북서위도_북동위도_남서위도_남동경도_중앙경도_북서경도_북동경도_남서경도_남동위성영상너비위성영상길이타원체지구모형지도투영투영방향픽셀당바이트수위성영상존재유무탐색용파일유무썸네일파일유무
0122004-01-311203622538700GEOTIFF1311GNN1149.0431.68DESCENDINGORBIT34.6135.5735.2733.9433.64119.57118.76120.84118.32120.36235290.0210840.0<NA>WGS842Map North1YYY
1122004-01-311203722602600GEOTIFF1311GNN1148.2732.78DESCENDINGORBIT33.1834.1433.8432.532.21119.17118.38120.41117.94119.95235530.0211080.0<NA>WGS842Map North1YYY
2122004-01-311203822626500GEOTIFF1311GNN1147.4833.86DESCENDINGORBIT31.7432.732.4131.0630.78118.78118.0120.0117.57119.54235920.0211200.0<NA>WGS842Map North1YYY
3122004-02-011112812650500GEOTIFF1311GNN1154.5622.88DESCENDINGORBIT46.0347.0146.6545.3945.04137.15136.22138.68135.66138.05238680.0217020.0<NA>WGS842Map North1YYY
4122004-02-011112912714400GEOTIFF1311GNN1153.8824.03DESCENDINGORBIT44.6145.5845.2343.9643.62136.64135.72138.12135.18137.51238950.0217050.0<NA>WGS842Map North1YYY
5122004-02-011113012738300GEOTIFF1311GNN1153.225.18DESCENDINGORBIT43.1844.1643.8242.5342.2136.14135.24137.59134.72137.0239280.0217170.0<NA>WGS842Map North1YYY
6122004-02-011113112802200GEOTIFF1311GNN1152.5126.32DESCENDINGORBIT41.7642.7342.441.140.78135.66134.78137.07134.27136.5239700.0217410.0<NA>WGS842Map North1YYY
7122004-02-011113212826100GEOTIFF1311GNN1151.8127.45DESCENDINGORBIT40.3341.340.9739.6739.35135.2134.33136.57133.84136.03239850.0217500.0<NA>WGS842Map North1YYY
8122004-02-011113312850000GEOTIFF1311GNN1151.128.58DESCENDINGORBIT38.939.8739.5538.2437.93134.75133.9136.09133.42135.57240450.0217710.0<NA>WGS842Map North1YYY
9122004-02-011113412913800GEOTIFF1311GNN1150.3729.69DESCENDINGORBIT37.4738.4438.1336.8136.5134.31133.48135.63133.01135.12240390.0217740.0<NA>WGS842Map North1YYY
위성일련번호촬영년월일위성영성PATH위성영상ROW촬영시각제품포맷해상도레벨적합성수준처리레벨리셈플링방법멀티밴드저장법태양방위각태양고도위성진행방향위도_중앙위도_북서위도_북동위도_남서위도_남동경도_중앙경도_북서경도_북동경도_남서경도_남동위성영상너비위성영상길이타원체지구모형지도투영투영방향픽셀당바이트수위성영상존재유무탐색용파일유무썸네일파일유무
559662002-02-14940135715728000HDF1011RBL2149.8331.74ASCENDINGORBIT39.9339.9940.0239.8439.86128.13128.01128.21128.05128.2517107.218453.6WGS-84WGS-842Satellite North1NNN
559762002-02-14940136015733000HDF1011RBL2149.8530.99ASCENDINGORBIT40.2640.3240.3540.1740.2128.03127.91128.11127.95128.1617107.218453.6WGS-84WGS-842Satellite North1NNN
559862002-02-14940136115735000HDF1011RBL2149.8631.16ASCENDINGORBIT40.3740.4340.4640.2840.31128.0127.88128.08127.92128.1217107.218453.6WGS-84WGS-842Satellite North1NNN
559962002-02-14940136215737000HDF1011RBL2149.8731.1ASCENDINGORBIT40.4840.5440.5740.3940.42127.97127.84128.05127.89128.0917107.218453.6WGS-84WGS-842Satellite North1NNN
5600122002-02-14116340FAST-L7A1311GCC1149.233.7DESCENDINGORBIT37.4738.4138.0936.8236.5126.59125.67127.89125.33127.5207840.0189480.0TOKYOTOKYO2Satellite North1YYY
5601122002-02-14116350FAST-L7A1311GCC1148.434.8DESCENDINGORBIT36.0437.036.6935.4135.09126.18125.26127.45124.93127.07208170.0189480.0TOKYOTOKYO2Satellite North1YYY
5602122002-02-14116360FAST-L7A1311GCC1146.2535.69DESCENDINGORBIT34.6235.5735.2633.9733.67125.77124.88127.0124.56126.64195750.0179970.0WGS-84WGS-842Satellite North1YYY
560362002-02-16950138013107000HDF1011RBL2144.3827.77ASCENDINGORBIT42.4742.5342.5742.3842.42128.9128.74128.99128.8129.0517107.218453.6WGS-84WGS-842Satellite North1NNN
560462002-02-16950138113109000HDF1011RBL2144.3827.67ASCENDINGORBIT42.5842.6442.6842.4942.53128.85128.7128.95128.76129.017107.218453.6WGS-84WGS-842Satellite North1NNN
560562002-02-16950138213111000HDF1011RBL2144.3727.57ASCENDINGORBIT42.742.7542.7942.642.64128.81128.66128.9128.72128.9617107.218453.6WGS-84WGS-842Satellite North1NNN