Overview

Dataset statistics

Number of variables5
Number of observations1921
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory77.0 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Text2
Categorical2

Dataset

Description해양수산에 관련하여 시도별 격자에 대하여 인천경기격자 정보를 담고 있으며 공간정보일련번호, 격자아이디, 레이어명등과같은 데이터를 제공한다.
URLhttps://www.data.go.kr/data/15113908/fileData.do

Alerts

레이어명(lyr_nm) has constant value ""Constant
레이어분류내용(lyr_cl_cn) has constant value ""Constant
공간정보일련번호(gid) has unique valuesUnique
특성평가격자아이디(msp_id) has unique valuesUnique
격자아이디(og_id) has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:20:39.355554
Analysis finished2023-12-12 23:20:40.125804
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간정보일련번호(gid)
Real number (ℝ)

UNIQUE 

Distinct1921
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean961
Minimum1
Maximum1921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2023-12-13T08:20:40.203603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile97
Q1481
median961
Q31441
95-th percentile1825
Maximum1921
Range1920
Interquartile range (IQR)960

Descriptive statistics

Standard deviation554.68925
Coefficient of variation (CV)0.57720005
Kurtosis-1.2
Mean961
Median Absolute Deviation (MAD)480
Skewness0
Sum1846081
Variance307680.17
MonotonicityStrictly increasing
2023-12-13T08:20:40.351873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1442 1
 
0.1%
1290 1
 
0.1%
1289 1
 
0.1%
1288 1
 
0.1%
1287 1
 
0.1%
1286 1
 
0.1%
1285 1
 
0.1%
1284 1
 
0.1%
1283 1
 
0.1%
Other values (1911) 1911
99.5%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1921 1
0.1%
1920 1
0.1%
1919 1
0.1%
1918 1
0.1%
1917 1
0.1%
1916 1
0.1%
1915 1
0.1%
1914 1
0.1%
1913 1
0.1%
1912 1
0.1%

특성평가격자아이디(msp_id)
Text

UNIQUE 

Distinct1921
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-13T08:20:40.597555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length15.791255
Min length13

Characters and Unicode

Total characters30335
Distinct characters30
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1921 ?
Unique (%)100.0%

Sample

1st rowMSP_GR4_F2E43_R3
2nd rowMSP_GR4_F2E43_R4
3rd rowMSP_GR4_F2E43_V1
4th rowMSP_GR4_F2E43_V2
5th rowMSP_GR4_F2E43_W1
ValueCountFrequency (%)
msp_gr4_f2e43_r3 1
 
0.1%
msp_gr3_f2i23_v 1
 
0.1%
msp_gr4_f2k13_x1 1
 
0.1%
msp_gr4_f2k13_w2 1
 
0.1%
msp_gr4_f2k13_w1 1
 
0.1%
msp_gr4_f2k13_v2 1
 
0.1%
msp_gr4_f2k13_v1 1
 
0.1%
msp_gr4_f2k13_u2 1
 
0.1%
msp_gr4_f2k13_u1 1
 
0.1%
msp_gr4_f2j24_y2 1
 
0.1%
Other values (1911) 1911
99.5%
2023-12-13T08:20:40.952574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 5729
18.9%
2 3317
10.9%
4 2993
9.9%
M 2012
 
6.6%
P 2008
 
6.6%
F 2003
 
6.6%
S 2002
 
6.6%
G 2002
 
6.6%
R 1999
 
6.6%
3 1744
 
5.7%
Other values (20) 4526
14.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 15334
50.5%
Decimal Number 9272
30.6%
Connector Punctuation 5729
 
18.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 2012
13.1%
P 2008
13.1%
F 2003
13.1%
S 2002
13.1%
G 2002
13.1%
R 1999
13.0%
K 908
5.9%
J 721
 
4.7%
I 308
 
2.0%
N 178
 
1.2%
Other values (15) 1193
7.8%
Decimal Number
ValueCountFrequency (%)
2 3317
35.8%
4 2993
32.3%
3 1744
18.8%
1 1218
 
13.1%
Connector Punctuation
ValueCountFrequency (%)
_ 5729
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15334
50.5%
Common 15001
49.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 2012
13.1%
P 2008
13.1%
F 2003
13.1%
S 2002
13.1%
G 2002
13.1%
R 1999
13.0%
K 908
5.9%
J 721
 
4.7%
I 308
 
2.0%
N 178
 
1.2%
Other values (15) 1193
7.8%
Common
ValueCountFrequency (%)
_ 5729
38.2%
2 3317
22.1%
4 2993
20.0%
3 1744
 
11.6%
1 1218
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30335
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 5729
18.9%
2 3317
10.9%
4 2993
9.9%
M 2012
 
6.6%
P 2008
 
6.6%
F 2003
 
6.6%
S 2002
 
6.6%
G 2002
 
6.6%
R 1999
 
6.6%
3 1744
 
5.7%
Other values (20) 4526
14.9%

격자아이디(og_id)
Text

UNIQUE 

Distinct1921
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-13T08:20:41.224966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.791255
Min length9

Characters and Unicode

Total characters22651
Distinct characters30
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1921 ?
Unique (%)100.0%

Sample

1st rowGR4_F2E43_R3
2nd rowGR4_F2E43_R4
3rd rowGR4_F2E43_V1
4th rowGR4_F2E43_V2
5th rowGR4_F2E43_W1
ValueCountFrequency (%)
gr4_f2e43_r3 1
 
0.1%
gr3_f2i23_v 1
 
0.1%
gr4_f2k13_x1 1
 
0.1%
gr4_f2k13_w2 1
 
0.1%
gr4_f2k13_w1 1
 
0.1%
gr4_f2k13_v2 1
 
0.1%
gr4_f2k13_v1 1
 
0.1%
gr4_f2k13_u2 1
 
0.1%
gr4_f2k13_u1 1
 
0.1%
gr4_f2j24_y2 1
 
0.1%
Other values (1911) 1911
99.5%
2023-12-13T08:20:41.666119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 3808
16.8%
2 3317
14.6%
4 2993
13.2%
F 2003
8.8%
G 2002
8.8%
R 1999
8.8%
3 1744
7.7%
1 1218
 
5.4%
K 908
 
4.0%
J 721
 
3.2%
Other values (20) 1938
8.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 9571
42.3%
Decimal Number 9272
40.9%
Connector Punctuation 3808
 
16.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
F 2003
20.9%
G 2002
20.9%
R 1999
20.9%
K 908
9.5%
J 721
 
7.5%
I 308
 
3.2%
N 178
 
1.9%
O 106
 
1.1%
E 101
 
1.1%
M 91
 
1.0%
Other values (15) 1154
12.1%
Decimal Number
ValueCountFrequency (%)
2 3317
35.8%
4 2993
32.3%
3 1744
18.8%
1 1218
 
13.1%
Connector Punctuation
ValueCountFrequency (%)
_ 3808
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13080
57.7%
Latin 9571
42.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
F 2003
20.9%
G 2002
20.9%
R 1999
20.9%
K 908
9.5%
J 721
 
7.5%
I 308
 
3.2%
N 178
 
1.9%
O 106
 
1.1%
E 101
 
1.1%
M 91
 
1.0%
Other values (15) 1154
12.1%
Common
ValueCountFrequency (%)
_ 3808
29.1%
2 3317
25.4%
4 2993
22.9%
3 1744
13.3%
1 1218
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22651
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 3808
16.8%
2 3317
14.6%
4 2993
13.2%
F 2003
8.8%
G 2002
8.8%
R 1999
8.8%
3 1744
7.7%
1 1218
 
5.4%
K 908
 
4.0%
J 721
 
3.2%
Other values (20) 1938
8.6%

레이어명(lyr_nm)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
인천경기격자
1921 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천경기격자 1921
100.0%

Length

2023-12-13T08:20:41.792070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:20:41.877508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천경기격자 1921
100.0%

레이어분류내용(lyr_cl_cn)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
특성평가격자
1921 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
특성평가격자 1921
100.0%

Length

2023-12-13T08:20:41.970992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:20:42.056846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특성평가격자 1921
100.0%

Interactions

2023-12-13T08:20:39.501879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T08:20:39.941786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:20:40.078053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

공간정보일련번호(gid)특성평가격자아이디(msp_id)격자아이디(og_id)레이어명(lyr_nm)레이어분류내용(lyr_cl_cn)
01MSP_GR4_F2E43_R3GR4_F2E43_R3인천경기격자특성평가격자
12MSP_GR4_F2E43_R4GR4_F2E43_R4인천경기격자특성평가격자
23MSP_GR4_F2E43_V1GR4_F2E43_V1인천경기격자특성평가격자
34MSP_GR4_F2E43_V2GR4_F2E43_V2인천경기격자특성평가격자
45MSP_GR4_F2E43_W1GR4_F2E43_W1인천경기격자특성평가격자
56MSP_GR4_F2E43_W2GR4_F2E43_W2인천경기격자특성평가격자
67MSP_GR4_F2E43_X1GR4_F2E43_X1인천경기격자특성평가격자
78MSP_GR4_F2E43_X2GR4_F2E43_X2인천경기격자특성평가격자
89MSP_GR4_F2E43_Y1GR4_F2E43_Y1인천경기격자특성평가격자
910MSP_GR4_F2E43_Y2GR4_F2E43_Y2인천경기격자특성평가격자
공간정보일련번호(gid)특성평가격자아이디(msp_id)격자아이디(og_id)레이어명(lyr_nm)레이어분류내용(lyr_cl_cn)
19111912MSP_GR3_F2N21_TGR3_F2N21_T인천경기격자특성평가격자
19121913MSP_GR3_F2N22_PGR3_F2N22_P인천경기격자특성평가격자
19131914MSP_GR3_F2N21_XGR3_F2N21_X인천경기격자특성평가격자
19141915MSP_GR3_F2N14_JGR3_F2N14_J인천경기격자특성평가격자
19151916MSP_GR2_F2I43GR2_F2I43인천경기격자특성평가격자
19161917MSP_GR2_F2I44GR2_F2I44인천경기격자특성평가격자
19171918MSP_GR2_F2J33GR2_F2J33인천경기격자특성평가격자
19181919MSP_GR4_F2K33_X3GR4_F2K33_X3인천경기격자특성평가격자
19191920MSP_GR4_F2K33_X4GR4_F2K33_X4인천경기격자특성평가격자
19201921MSP_GR4_F2K34_P3GR4_F2K34_P3인천경기격자특성평가격자