Overview

Dataset statistics

Number of variables6
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory57.0 B

Variable types

Text2
Numeric2
Categorical1
DateTime1

Dataset

Description충청북도 음성군 주민대피시설에 대한 데이터로 대피시설의 위치, 규모, 방호등급과 대피 가능인원에 대한 현황을 작성한 데이터 입니다.
URLhttps://www.data.go.kr/data/3063951/fileData.do

Alerts

방호등급 has constant value ""Constant
데이터기준일 has constant value ""Constant
규모(제곱미터) is highly overall correlated with 대피가능인원(명)High correlation
대피가능인원(명) is highly overall correlated with 규모(제곱미터)High correlation
구분 has unique valuesUnique
위치 has unique valuesUnique
규모(제곱미터) has unique valuesUnique
대피가능인원(명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:43:39.091148
Analysis finished2023-12-12 18:43:40.803644
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T03:43:40.999092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters154
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row음섭읍 1-1
2nd row음성읍 1-2
3rd row음성읍 1-3
4th row음성읍 1-4
5th row음성읍 1-5
ValueCountFrequency (%)
음성읍 5
 
11.4%
금왕읍 5
 
11.4%
맹동면 4
 
9.1%
대소면 4
 
9.1%
감곡면 2
 
4.5%
3-2 1
 
2.3%
6-1 1
 
2.3%
5-1 1
 
2.3%
삼성면 1
 
2.3%
4-4 1
 
2.3%
Other values (19) 19
43.2%
2023-12-13T03:43:41.508174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
14.3%
- 22
14.3%
1 12
 
7.8%
11
 
7.1%
11
 
7.1%
2 10
 
6.5%
3 8
 
5.2%
4 8
 
5.2%
6
 
3.9%
6
 
3.9%
Other values (12) 38
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
42.9%
Decimal Number 44
28.6%
Space Separator 22
 
14.3%
Dash Punctuation 22
 
14.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11
16.7%
11
16.7%
6
9.1%
6
9.1%
5
7.6%
5
7.6%
4
 
6.1%
4
 
6.1%
4
 
6.1%
4
 
6.1%
Other values (4) 6
9.1%
Decimal Number
ValueCountFrequency (%)
1 12
27.3%
2 10
22.7%
3 8
18.2%
4 8
18.2%
6 3
 
6.8%
5 3
 
6.8%
Space Separator
ValueCountFrequency (%)
22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 88
57.1%
Hangul 66
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11
16.7%
11
16.7%
6
9.1%
6
9.1%
5
7.6%
5
7.6%
4
 
6.1%
4
 
6.1%
4
 
6.1%
4
 
6.1%
Other values (4) 6
9.1%
Common
ValueCountFrequency (%)
22
25.0%
- 22
25.0%
1 12
13.6%
2 10
11.4%
3 8
 
9.1%
4 8
 
9.1%
6 3
 
3.4%
5 3
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88
57.1%
Hangul 66
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
25.0%
- 22
25.0%
1 12
13.6%
2 10
11.4%
3 8
 
9.1%
4 8
 
9.1%
6 3
 
3.4%
5 3
 
3.4%
Hangul
ValueCountFrequency (%)
11
16.7%
11
16.7%
6
9.1%
6
9.1%
5
7.6%
5
7.6%
4
 
6.1%
4
 
6.1%
4
 
6.1%
4
 
6.1%
Other values (4) 6
9.1%

위치
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T03:43:41.896997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39.5
Mean length37.227273
Min length30

Characters and Unicode

Total characters819
Distinct characters104
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row충청북도 음성군 음성읍 읍내리 350-1 삼보 아파트 지하주차장
2nd row충청북도 음성군 음성읍 신천리 1058 신천휴먼시아 지하주차장
3rd row충청북도 음성군 음성읍 신천리 149 포란재아파트 지하주차장
4th row충청북도 음성군 음성읍 설성공원길 23-7 음성지평더웰아파트 지하주차장
5th row충청북도 음성군 음성읍 설성공원길 33-9 음성지평더웰2차아파트 지하주차장
ValueCountFrequency (%)
충청북도 22
 
13.8%
지하주차장 22
 
13.8%
음성군 22
 
13.8%
음성읍 6
 
3.8%
금왕읍 5
 
3.1%
대금로 4
 
2.5%
아파트 4
 
2.5%
대소면 4
 
2.5%
맹동면 4
 
2.5%
읍내리 2
 
1.3%
Other values (59) 64
40.3%
2023-12-13T03:43:42.472983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
137
 
16.7%
42
 
5.1%
39
 
4.8%
26
 
3.2%
25
 
3.1%
25
 
3.1%
24
 
2.9%
24
 
2.9%
24
 
2.9%
24
 
2.9%
Other values (94) 429
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 588
71.8%
Space Separator 137
 
16.7%
Decimal Number 81
 
9.9%
Dash Punctuation 11
 
1.3%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
 
7.1%
39
 
6.6%
26
 
4.4%
25
 
4.3%
25
 
4.3%
24
 
4.1%
24
 
4.1%
24
 
4.1%
24
 
4.1%
24
 
4.1%
Other values (80) 311
52.9%
Decimal Number
ValueCountFrequency (%)
1 18
22.2%
5 13
16.0%
3 12
14.8%
2 9
11.1%
0 7
 
8.6%
7 6
 
7.4%
4 5
 
6.2%
6 4
 
4.9%
9 4
 
4.9%
8 3
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 588
71.8%
Common 229
 
28.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42
 
7.1%
39
 
6.6%
26
 
4.4%
25
 
4.3%
25
 
4.3%
24
 
4.1%
24
 
4.1%
24
 
4.1%
24
 
4.1%
24
 
4.1%
Other values (80) 311
52.9%
Common
ValueCountFrequency (%)
137
59.8%
1 18
 
7.9%
5 13
 
5.7%
3 12
 
5.2%
- 11
 
4.8%
2 9
 
3.9%
0 7
 
3.1%
7 6
 
2.6%
4 5
 
2.2%
6 4
 
1.7%
Other values (2) 7
 
3.1%
Latin
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 588
71.8%
ASCII 231
 
28.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
137
59.3%
1 18
 
7.8%
5 13
 
5.6%
3 12
 
5.2%
- 11
 
4.8%
2 9
 
3.9%
0 7
 
3.0%
7 6
 
2.6%
4 5
 
2.2%
6 4
 
1.7%
Other values (4) 9
 
3.9%
Hangul
ValueCountFrequency (%)
42
 
7.1%
39
 
6.6%
26
 
4.4%
25
 
4.3%
25
 
4.3%
24
 
4.1%
24
 
4.1%
24
 
4.1%
24
 
4.1%
24
 
4.1%
Other values (80) 311
52.9%

규모(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10244.045
Minimum221
Maximum27907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T03:43:42.706021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum221
5-th percentile1909.25
Q13129.25
median7487.5
Q315514.5
95-th percentile25610.15
Maximum27907
Range27686
Interquartile range (IQR)12385.25

Descriptive statistics

Standard deviation8785.9204
Coefficient of variation (CV)0.85766121
Kurtosis-0.6329124
Mean10244.045
Median Absolute Deviation (MAD)4581.5
Skewness0.86838615
Sum225369
Variance77192397
MonotonicityNot monotonic
2023-12-13T03:43:42.877272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3688 1
 
4.5%
23808 1
 
4.5%
2313 1
 
4.5%
1888 1
 
4.5%
2869 1
 
4.5%
20182 1
 
4.5%
4385 1
 
4.5%
10884 1
 
4.5%
17058 1
 
4.5%
27907 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
221 1
4.5%
1888 1
4.5%
2313 1
4.5%
2459 1
4.5%
2869 1
4.5%
2943 1
4.5%
3688 1
4.5%
3718 1
4.5%
4385 1
4.5%
5777 1
4.5%
ValueCountFrequency (%)
27907 1
4.5%
25705 1
4.5%
23808 1
4.5%
23794 1
4.5%
20182 1
4.5%
17058 1
4.5%
10884 1
4.5%
10577 1
4.5%
10233 1
4.5%
9985 1
4.5%

방호등급
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
3
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 22
100.0%

Length

2023-12-13T03:43:43.042790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:43:43.177654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 22
100.0%

대피가능인원(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12416.591
Minimum267
Maximum33826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T03:43:43.309796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum267
5-th percentile2313.75
Q13792.75
median9075.5
Q318805
95-th percentile31042.05
Maximum33826
Range33559
Interquartile range (IQR)15012.25

Descriptive statistics

Standard deviation10649.654
Coefficient of variation (CV)0.85769552
Kurtosis-0.63295573
Mean12416.591
Median Absolute Deviation (MAD)5553.5
Skewness0.86836557
Sum273165
Variance1.1341514 × 108
MonotonicityNot monotonic
2023-12-13T03:43:43.464803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4470 1
 
4.5%
28858 1
 
4.5%
2803 1
 
4.5%
2288 1
 
4.5%
3477 1
 
4.5%
24463 1
 
4.5%
5315 1
 
4.5%
13192 1
 
4.5%
20676 1
 
4.5%
33826 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
267 1
4.5%
2288 1
4.5%
2803 1
4.5%
2980 1
4.5%
3477 1
4.5%
3567 1
4.5%
4470 1
4.5%
4506 1
4.5%
5315 1
4.5%
7002 1
4.5%
ValueCountFrequency (%)
33826 1
4.5%
31157 1
4.5%
28858 1
4.5%
28841 1
4.5%
24463 1
4.5%
20676 1
4.5%
13192 1
4.5%
12820 1
4.5%
12403 1
4.5%
12103 1
4.5%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2023-08-08 00:00:00
Maximum2023-08-08 00:00:00
2023-12-13T03:43:43.615125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:43:43.753288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T03:43:39.675972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:43:39.359383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:43:39.833662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:43:39.514820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:43:43.861852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분위치규모(제곱미터)대피가능인원(명)
구분1.0001.0001.0001.000
위치1.0001.0001.0001.000
규모(제곱미터)1.0001.0001.0001.000
대피가능인원(명)1.0001.0001.0001.000
2023-12-13T03:43:44.005703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
규모(제곱미터)대피가능인원(명)
규모(제곱미터)1.0001.000
대피가능인원(명)1.0001.000

Missing values

2023-12-13T03:43:40.537870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:43:40.741730image/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

구분위치규모(제곱미터)방호등급대피가능인원(명)데이터기준일
0음섭읍 1-1충청북도 음성군 음성읍 읍내리 350-1 삼보 아파트 지하주차장3688344702023-08-08
1음성읍 1-2충청북도 음성군 음성읍 신천리 1058 신천휴먼시아 지하주차장2943335672023-08-08
2음성읍 1-3충청북도 음성군 음성읍 신천리 149 포란재아파트 지하주차장99853121032023-08-08
3음성읍 1-4충청북도 음성군 음성읍 설성공원길 23-7 음성지평더웰아파트 지하주차장7247387842023-08-08
4음성읍 1-5충청북도 음성군 음성읍 설성공원길 33-9 음성지평더웰2차아파트 지하주차장3718345062023-08-08
5음성읍 1-6충청북도 음성군 음성읍 읍내리 621-1 음성군청 지하22132672023-08-08
6금왕읍 2-1충청북도 음성군 금왕읍 무극리 503 유수장미 아파트 지하주차장5777370022023-08-08
7금왕읍 2-2충청북도 음성군 금왕읍 무극리 93 주공3차 지하주차장 지하주차장2459329802023-08-08
8금왕읍 2-3충청북도 음성군 금왕읍 금석리 340-7 두진하트리움 지하주차장7728393672023-08-08
9금왕읍 2-4충청북도 음성군 금왕읍 대금로 1557-13 음성금석LH아파트 지하주차장102333124032023-08-08
구분위치규모(제곱미터)방호등급대피가능인원(명)데이터기준일
12맹동면 3-2충청북도 음성군 맹동면 사예로 20 쌍용예가 아파트 지하주차장238083288582023-08-08
13맹동면 3-3충청북도 음성군 맹동면 이수로 31 천년나무1단지 아파트 지하주차장105773128202023-08-08
14맹동면 3-4충청북도 음성군 맹동면 장성1길 9 충북혁신도시영무예다음3차아파트 지하주차장279073338262023-08-08
15대소면 4-1충청북도 음성군 대소면 대금로 552-12 대소두진하트리움아파트 지하주차장170583206762023-08-08
16대소면 4-2충청북도 음성군 대소면 대회1길 44-8 대소웰메이드타운 지하주차장108843131922023-08-08
17대소면 4-3충청북도 음성군 대소면 대청로 17 부영사랑으로아파트 지하주차장4385353152023-08-08
18대소면 4-4충청북도 음성군 대소면 대금로 686-1 이안음성대소아파트 지하주차장201823244632023-08-08
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