Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory419.9 KiB
Average record size in memory43.0 B

Variable types

Numeric3
Text1

Dataset

Description지역의 급경사지 위치 및 위험성 등 부분적 정보제공
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=3027

Alerts

지역코드 is highly overall correlated with 일련번호High correlation
일련번호 is highly overall correlated with 지역코드High correlation
일련번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:18:51.383205
Analysis finished2024-01-09 23:18:53.127705
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역코드
Real number (ℝ)

HIGH CORRELATION 

Distinct4847
Distinct (%)48.5%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.29798 × 109
Minimum1.1110101 × 109
Maximum5.183035 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T08:18:53.192618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110101 × 109
5-th percentile1.165011 × 109
Q14.182033 × 109
median4.678039 × 109
Q34.8330253 × 109
95-th percentile5.1770253 × 109
Maximum5.183035 × 109
Range4.0720249 × 109
Interquartile range (IQR)6.509923 × 108

Descriptive statistics

Standard deviation9.9870734 × 108
Coefficient of variation (CV)0.23236668
Kurtosis3.1468185
Mean4.29798 × 109
Median Absolute Deviation (MAD)2.98006 × 108
Skewness-1.9423849
Sum4.2975502 × 1013
Variance9.9741636 × 1017
MonotonicityNot monotonic
2024-01-10T08:18:53.319249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5181032024 37
 
0.4%
1154510300 29
 
0.3%
5179025027 28
 
0.3%
1162010200 24
 
0.2%
5177025321 23
 
0.2%
5176036027 22
 
0.2%
1126010100 20
 
0.2%
5121011200 20
 
0.2%
5119010100 18
 
0.2%
5177025923 17
 
0.2%
Other values (4837) 9761
97.6%
ValueCountFrequency (%)
1111010100 1
 
< 0.1%
1111010900 1
 
< 0.1%
1111016500 1
 
< 0.1%
1111017000 1
 
< 0.1%
1111017400 3
 
< 0.1%
1111017800 2
 
< 0.1%
1111018100 1
 
< 0.1%
1111018200 5
0.1%
1111018300 11
0.1%
1111018400 1
 
< 0.1%
ValueCountFrequency (%)
5183035042 1
 
< 0.1%
5183035036 1
 
< 0.1%
5183035031 3
< 0.1%
5183035027 1
 
< 0.1%
5183034038 1
 
< 0.1%
5183034030 1
 
< 0.1%
5183034025 1
 
< 0.1%
5183034023 1
 
< 0.1%
5183034021 1
 
< 0.1%
5183033032 1
 
< 0.1%

급경사지명
Text

Distinct9628
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T08:18:53.673463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length8.8354
Min length1

Characters and Unicode

Total characters88354
Distinct characters547
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9307 ?
Unique (%)93.1%

Sample

1st row강원-태백선03-충
2nd row학교면 곡창리
3rd row내장지구(내장 00-01-02)
4th row남성2지구
5th row개야
ValueCountFrequency (%)
n1지구 722
 
3.6%
n2지구 336
 
1.7%
경기 301
 
1.5%
경북 300
 
1.5%
충청 259
 
1.3%
강원 254
 
1.3%
경남 251
 
1.2%
n3지구 188
 
0.9%
충북 165
 
0.8%
전남 158
 
0.8%
Other values (9915) 17271
85.5%
2024-01-10T08:18:54.182958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10205
 
11.6%
지 5827
 
6.6%
구 5352
 
6.1%
1 4154
 
4.7%
2 2485
 
2.8%
- 2269
 
2.6%
0 1907
 
2.2%
N 1847
 
2.1%
동 1782
 
2.0%
경 1754
 
2.0%
Other values (537) 50772
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55473
62.8%
Decimal Number 16013
 
18.1%
Space Separator 10205
 
11.6%
Dash Punctuation 2269
 
2.6%
Uppercase Letter 1930
 
2.2%
Open Punctuation 1114
 
1.3%
Close Punctuation 1110
 
1.3%
Lowercase Letter 94
 
0.1%
Math Symbol 90
 
0.1%
Other Punctuation 45
 
0.1%
Other values (2) 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5827
 
10.5%
구 5352
 
9.6%
동 1782
 
3.2%
경 1754
 
3.2%
산 1463
 
2.6%
남 1125
 
2.0%
원 1010
 
1.8%
선 1000
 
1.8%
북 995
 
1.8%
강 797
 
1.4%
Other values (483) 34368
62.0%
Uppercase Letter
ValueCountFrequency (%)
N 1847
95.7%
A 20
 
1.0%
S 10
 
0.5%
P 8
 
0.4%
B 7
 
0.4%
T 6
 
0.3%
H 5
 
0.3%
K 5
 
0.3%
M 5
 
0.3%
C 4
 
0.2%
Other values (8) 13
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 4154
25.9%
2 2485
15.5%
0 1907
11.9%
3 1688
10.5%
4 1515
 
9.5%
5 1038
 
6.5%
6 973
 
6.1%
7 858
 
5.4%
8 756
 
4.7%
9 639
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
k 50
53.2%
m 10
 
10.6%
e 8
 
8.5%
t 7
 
7.4%
s 6
 
6.4%
d 4
 
4.3%
g 3
 
3.2%
z 2
 
2.1%
f 2
 
2.1%
a 2
 
2.1%
Other Punctuation
ValueCountFrequency (%)
@ 11
24.4%
; 9
20.0%
# 9
20.0%
& 9
20.0%
. 5
11.1%
: 1
 
2.2%
/ 1
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 1113
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1109
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
10205
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2269
100.0%
Math Symbol
ValueCountFrequency (%)
~ 90
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55473
62.8%
Common 30857
34.9%
Latin 2024
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5827
 
10.5%
구 5352
 
9.6%
동 1782
 
3.2%
경 1754
 
3.2%
산 1463
 
2.6%
남 1125
 
2.0%
원 1010
 
1.8%
선 1000
 
1.8%
북 995
 
1.8%
강 797
 
1.4%
Other values (483) 34368
62.0%
Latin
ValueCountFrequency (%)
N 1847
91.3%
k 50
 
2.5%
A 20
 
1.0%
m 10
 
0.5%
S 10
 
0.5%
e 8
 
0.4%
P 8
 
0.4%
t 7
 
0.3%
B 7
 
0.3%
s 6
 
0.3%
Other values (18) 51
 
2.5%
Common
ValueCountFrequency (%)
10205
33.1%
1 4154
13.5%
2 2485
 
8.1%
- 2269
 
7.4%
0 1907
 
6.2%
3 1688
 
5.5%
4 1515
 
4.9%
( 1113
 
3.6%
) 1109
 
3.6%
5 1038
 
3.4%
Other values (16) 3374
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55473
62.8%
ASCII 32881
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10205
31.0%
1 4154
12.6%
2 2485
 
7.6%
- 2269
 
6.9%
0 1907
 
5.8%
N 1847
 
5.6%
3 1688
 
5.1%
4 1515
 
4.6%
( 1113
 
3.4%
) 1109
 
3.4%
Other values (44) 4589
14.0%
Hangul
ValueCountFrequency (%)
지 5827
 
10.5%
구 5352
 
9.6%
동 1782
 
3.2%
경 1754
 
3.2%
산 1463
 
2.6%
남 1125
 
2.0%
원 1010
 
1.8%
선 1000
 
1.8%
북 995
 
1.8%
강 797
 
1.4%
Other values (483) 34368
62.0%

관리주체구분
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3925
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T08:18:54.292555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q38
95-th percentile9
Maximum99
Range98
Interquartile range (IQR)7

Descriptive statistics

Standard deviation13.283768
Coefficient of variation (CV)2.4633784
Kurtosis43.148797
Mean5.3925
Median Absolute Deviation (MAD)0
Skewness6.5286705
Sum53925
Variance176.45849
MonotonicityNot monotonic
2024-01-10T08:18:54.381127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 5237
52.4%
8 1748
 
17.5%
5 1388
 
13.9%
9 618
 
6.2%
7 326
 
3.3%
3 215
 
2.1%
2 208
 
2.1%
99 187
 
1.9%
4 54
 
0.5%
6 15
 
0.1%
ValueCountFrequency (%)
1 5237
52.4%
2 208
 
2.1%
3 215
 
2.1%
4 54
 
0.5%
5 1388
 
13.9%
6 15
 
0.1%
7 326
 
3.3%
8 1748
 
17.5%
9 618
 
6.2%
10 4
 
< 0.1%
ValueCountFrequency (%)
99 187
 
1.9%
10 4
 
< 0.1%
9 618
 
6.2%
8 1748
17.5%
7 326
 
3.3%
6 15
 
0.1%
5 1388
13.9%
4 54
 
0.5%
3 215
 
2.1%
2 208
 
2.1%

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1640837 × 109
Minimum1.111 × 109
Maximum5.18 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T08:18:54.490966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111 × 109
5-th percentile1.1650001 × 109
Q14.183 × 109
median4.415 × 109
Q34.7280001 × 109
95-th percentile4.8840002 × 109
Maximum5.18 × 109
Range4.069 × 109
Interquartile range (IQR)5.4500004 × 108

Descriptive statistics

Standard deviation9.2854528 × 108
Coefficient of variation (CV)0.2229891
Kurtosis3.7665379
Mean4.1640837 × 109
Median Absolute Deviation (MAD)2.7500002 × 108
Skewness-2.0937101
Sum4.1640837 × 1013
Variance8.6219633 × 1017
MonotonicityNot monotonic
2024-01-10T08:18:54.618393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4315000244 1
 
< 0.1%
4825000536 1
 
< 0.1%
4872000305 1
 
< 0.1%
4831000063 1
 
< 0.1%
1126000125 1
 
< 0.1%
4574000279 1
 
< 0.1%
4273000298 1
 
< 0.1%
4413000024 1
 
< 0.1%
4423000042 1
 
< 0.1%
4276000300 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1111000005 1
< 0.1%
1111000006 1
< 0.1%
1111000021 1
< 0.1%
1111000028 1
< 0.1%
1111000030 1
< 0.1%
1111000031 1
< 0.1%
1111000035 1
< 0.1%
1111000036 1
< 0.1%
1111000037 1
< 0.1%
1111000038 1
< 0.1%
ValueCountFrequency (%)
5180000020 1
< 0.1%
5180000017 1
< 0.1%
5180000016 1
< 0.1%
5180000015 1
< 0.1%
5180000014 1
< 0.1%
5180000011 1
< 0.1%
5180000009 1
< 0.1%
5180000004 1
< 0.1%
5180000002 1
< 0.1%
5177000012 1
< 0.1%

Interactions

2024-01-10T08:18:52.698494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:18:51.958573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:18:52.222963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:18:52.821841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:18:52.049708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:18:52.308696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:18:52.905030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:18:52.130532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:18:52.380948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T08:18:54.707182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역코드관리주체구분일련번호
지역코드1.0000.2030.998
관리주체구분0.2031.0000.205
일련번호0.9980.2051.000
2024-01-10T08:18:54.782039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역코드관리주체구분일련번호
지역코드1.000-0.1530.594
관리주체구분-0.1531.000-0.138
일련번호0.594-0.1381.000

Missing values

2024-01-10T08:18:53.017872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:18:53.091791image/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

지역코드급경사지명관리주체구분일련번호
17574315038024강원-태백선03-충54315000244
261954686033025학교면 곡창리14686000027
9694518011900내장지구(내장 00-01-02)74518000102
177454681025022남성2지구84681000006
128315172037031개야94272000135
74719012700경북 구미 거의 N3지구14719000078
80551147010100옹벽(신정동1192-2)11147000051
102044519047021인월 중군214519000040
33005179025027동촌3594279000234
77174372037040광포지구14372000081
지역코드급경사지명관리주체구분일련번호
65092826011500원당자이아파트정문12826000005
145855172037032두미지구94272000006
10965182025321거진6지구14282000029
198924873039024여항294873000286
196194831033023다포리-394831000089
75414315031026충북 제천 금성 활산 N8지구14315000318
142074513010200신흥14513000188
16764313038523충북 중부2054313000229
79421138010200녹번동20-57-재개발81138000023
205214785025021충청 경부선8954785000196