Overview

Dataset statistics

Number of variables28
Number of observations3816
Missing cells11555
Missing cells (%)10.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory890.8 KiB
Average record size in memory239.0 B

Variable types

Numeric13
Categorical7
Text4
Boolean4

Dataset

Description충청남도 재난안전포털에서 제공하는 무더위쉼터 관련 정보입니다.(시설 위치, 쉼터 명칭, 사용 여부, 운영 시작일, 운영 종료일 등 포함)
URLhttps://www.data.go.kr/data/15118638/fileData.do

Alerts

시도코드 has constant value ""Constant
연도 has constant value ""Constant
숙박가능여부 has constant value ""Constant
사용여부 is highly imbalanced (93.7%)Imbalance
야간연장운영여부 is highly imbalanced (51.0%)Imbalance
주말운영여부 is highly imbalanced (93.7%)Imbalance
관리기관전화번호 is highly imbalanced (70.2%)Imbalance
시설유형명 is highly imbalanced (58.4%)Imbalance
특이사항 is highly imbalanced (95.8%)Imbalance
읍면동명 has 732 (19.2%) missing valuesMissing
상세주소 has 313 (8.2%) missing valuesMissing
운영시작일자 has 1961 (51.4%) missing valuesMissing
운영종료일자 has 1961 (51.4%) missing valuesMissing
선풍기보유대수 has 47 (1.2%) missing valuesMissing
야간연장운영여부 has 1086 (28.5%) missing valuesMissing
숙박가능여부 has 3065 (80.3%) missing valuesMissing
주말운영여부 has 292 (7.7%) missing valuesMissing
소재지지번주소 has 126 (3.3%) missing valuesMissing
관리기관코드 has 1961 (51.4%) missing valuesMissing
운영시작일자 is highly skewed (γ1 = -27.68347588)Skewed
연번 has unique valuesUnique
시설면적 has 39 (1.0%) zerosZeros
이용가능인원수 has 42 (1.1%) zerosZeros
선풍기보유대수 has 188 (4.9%) zerosZeros

Reproduction

Analysis started2023-12-12 08:09:16.286505
Analysis finished2023-12-12 08:09:17.737674
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct3816
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1908.6672
Minimum1
Maximum3817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2023-12-12T17:09:17.823575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile191.75
Q1954.75
median1908.5
Q32862.25
95-th percentile3626.25
Maximum3817
Range3816
Interquartile range (IQR)1907.5

Descriptive statistics

Standard deviation1101.9699
Coefficient of variation (CV)0.57735046
Kurtosis-1.1996801
Mean1908.6672
Median Absolute Deviation (MAD)954
Skewness0.00050506074
Sum7283474
Variance1214337.6
MonotonicityNot monotonic
2023-12-12T17:09:18.023418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81 1
 
< 0.1%
1246 1
 
< 0.1%
1234 1
 
< 0.1%
1235 1
 
< 0.1%
1236 1
 
< 0.1%
1237 1
 
< 0.1%
1238 1
 
< 0.1%
1239 1
 
< 0.1%
1240 1
 
< 0.1%
1241 1
 
< 0.1%
Other values (3806) 3806
99.7%
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 (%)
3817 1
< 0.1%
3816 1
< 0.1%
3815 1
< 0.1%
3814 1
< 0.1%
3813 1
< 0.1%
3812 1
< 0.1%
3811 1
< 0.1%
3810 1
< 0.1%
3809 1
< 0.1%
3808 1
< 0.1%

시도코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
44
3816 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44
2nd row44
3rd row44
4th row44
5th row44

Common Values

ValueCountFrequency (%)
44 3816
100.0%

Length

2023-12-12T17:09:18.204654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:09:18.328221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44 3816
100.0%

시도명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
충청남도
3084 
<NA>
732 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 3084
80.8%
<NA> 732
 
19.2%

Length

2023-12-12T17:09:18.446656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:09:18.547484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 3084
80.8%
na 732
 
19.2%

시군구코드
Real number (ℝ)

Distinct15
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44341.479
Minimum44131
Maximum44825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2023-12-12T17:09:18.662016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44131
5-th percentile44131
Q144150
median44210
Q344710
95-th percentile44810
Maximum44825
Range694
Interquartile range (IQR)560

Descriptive statistics

Standard deviation266.80088
Coefficient of variation (CV)0.0060169595
Kurtosis-0.87078286
Mean44341.479
Median Absolute Deviation (MAD)60
Skewness1.0119712
Sum1.6920708 × 108
Variance71182.712
MonotonicityNot monotonic
2023-12-12T17:09:18.779573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
44230 514
13.5%
44131 419
11.0%
44180 395
10.4%
44210 386
10.1%
44150 354
9.3%
44770 346
9.1%
44133 342
9.0%
44790 290
7.6%
44200 251
6.6%
44825 160
 
4.2%
Other values (5) 359
9.4%
ValueCountFrequency (%)
44131 419
11.0%
44133 342
9.0%
44150 354
9.3%
44180 395
10.4%
44200 251
6.6%
44210 386
10.1%
44230 514
13.5%
44250 20
 
0.5%
44270 119
 
3.1%
44710 137
 
3.6%
ValueCountFrequency (%)
44825 160
 
4.2%
44810 71
 
1.9%
44800 12
 
0.3%
44790 290
7.6%
44770 346
9.1%
44710 137
 
3.6%
44270 119
 
3.1%
44250 20
 
0.5%
44230 514
13.5%
44210 386
10.1%

시군구명
Categorical

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
<NA>
732 
논산시
450 
서천군
346 
청양군
290 
서산시
288 
Other values (11)
1710 

Length

Max length7
Median length3
Mean length3.6771488
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row천안시 동남구
2nd row천안시 동남구
3rd row천안시 동남구
4th row천안시 동남구
5th row천안시 동남구

Common Values

ValueCountFrequency (%)
<NA> 732
19.2%
논산시 450
11.8%
서천군 346
9.1%
청양군 290
 
7.6%
서산시 288
 
7.5%
보령시 279
 
7.3%
공주시 275
 
7.2%
천안시 동남구 262
 
6.9%
천안시 서북구 201
 
5.3%
아산시 180
 
4.7%
Other values (6) 513
13.4%

Length

2023-12-12T17:09:18.966723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 732
17.1%
천안시 463
10.8%
논산시 450
10.5%
서천군 346
8.1%
청양군 290
 
6.8%
서산시 288
 
6.7%
보령시 279
 
6.5%
공주시 275
 
6.4%
동남구 262
 
6.1%
서북구 201
 
4.7%
Other values (7) 693
16.2%

읍면동명
Text

MISSING 

Distinct128
Distinct (%)4.2%
Missing732
Missing (%)19.2%
Memory size29.9 KiB
2023-12-12T17:09:19.329181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9766537
Min length2

Characters and Unicode

Total characters9180
Distinct characters114
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row광덕면
2nd row광덕면
3rd row광덕면
4th row광덕면
5th row광덕면
ValueCountFrequency (%)
성환읍 73
 
2.4%
연무읍 65
 
2.1%
마서면 65
 
2.1%
직산읍 46
 
1.5%
청양읍 44
 
1.4%
병천면 43
 
1.4%
양촌면 43
 
1.4%
목천읍 42
 
1.4%
연산면 41
 
1.3%
입장면 41
 
1.3%
Other values (118) 2581
83.7%
2023-12-12T17:09:19.857897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 2461
26.8%
읍 656
 
7.1%
산 373
 
4.1%
성 338
 
3.7%
천 288
 
3.1%
남 190
 
2.1%
양 147
 
1.6%
곡 129
 
1.4%
연 128
 
1.4%
청 121
 
1.3%
Other values (104) 4349
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9180
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 2461
26.8%
읍 656
 
7.1%
산 373
 
4.1%
성 338
 
3.7%
천 288
 
3.1%
남 190
 
2.1%
양 147
 
1.6%
곡 129
 
1.4%
연 128
 
1.4%
청 121
 
1.3%
Other values (104) 4349
47.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9180
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 2461
26.8%
읍 656
 
7.1%
산 373
 
4.1%
성 338
 
3.7%
천 288
 
3.1%
남 190
 
2.1%
양 147
 
1.6%
곡 129
 
1.4%
연 128
 
1.4%
청 121
 
1.3%
Other values (104) 4349
47.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9180
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 2461
26.8%
읍 656
 
7.1%
산 373
 
4.1%
성 338
 
3.7%
천 288
 
3.1%
남 190
 
2.1%
양 147
 
1.6%
곡 129
 
1.4%
연 128
 
1.4%
청 121
 
1.3%
Other values (104) 4349
47.4%

법정동코드
Real number (ℝ)

Distinct173
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4341852 × 109
Minimum4.413125 × 109
Maximum4.482536 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2023-12-12T17:09:20.065016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.413125 × 109
5-th percentile4.413135 × 109
Q14.415037 × 109
median4.421036 × 109
Q34.471033 × 109
95-th percentile4.481034 × 109
Maximum4.482536 × 109
Range69411000
Interquartile range (IQR)55996000

Descriptive statistics

Standard deviation26677360
Coefficient of variation (CV)0.0060162936
Kurtosis-0.87076942
Mean4.4341852 × 109
Median Absolute Deviation (MAD)6003000
Skewness1.0119935
Sum1.6920851 × 1013
Variance7.1168155 × 1014
MonotonicityNot monotonic
2023-12-12T17:09:20.241663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4413325000 73
 
1.9%
4477031000 65
 
1.7%
4423025300 65
 
1.7%
4413325600 45
 
1.2%
4479025000 44
 
1.2%
4413136000 43
 
1.1%
4423039000 43
 
1.1%
4423051000 42
 
1.1%
4413125000 42
 
1.1%
4479037000 41
 
1.1%
Other values (163) 3313
86.8%
ValueCountFrequency (%)
4413125000 42
1.1%
4413131000 26
0.7%
4413132000 39
1.0%
4413133000 26
0.7%
4413134000 38
1.0%
4413135000 21
0.6%
4413136000 43
1.1%
4413137000 27
0.7%
4413151000 8
 
0.2%
4413152000 6
 
0.2%
ValueCountFrequency (%)
4482536000 16
0.4%
4482535000 16
0.4%
4482534000 17
0.4%
4482533000 21
0.6%
4482532000 10
 
0.3%
4482531000 15
0.4%
4482525300 29
0.8%
4482525000 36
0.9%
4481040000 27
0.7%
4481034000 17
0.4%

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
2017
3816 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2017 3816
100.0%

Length

2023-12-12T17:09:20.420689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:09:20.582268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 3816
100.0%

시설유형
Real number (ℝ)

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1564465
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2023-12-12T17:09:20.704843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.6206521
Coefficient of variation (CV)3.5338934
Kurtosis154.48265
Mean2.1564465
Median Absolute Deviation (MAD)0
Skewness12.381449
Sum8229
Variance58.074339
MonotonicityNot monotonic
2023-12-12T17:09:20.853861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 2734
71.6%
3 651
 
17.1%
2 290
 
7.6%
6 59
 
1.5%
5 30
 
0.8%
99 23
 
0.6%
8 15
 
0.4%
4 13
 
0.3%
9 1
 
< 0.1%
ValueCountFrequency (%)
1 2734
71.6%
2 290
 
7.6%
3 651
 
17.1%
4 13
 
0.3%
5 30
 
0.8%
6 59
 
1.5%
8 15
 
0.4%
9 1
 
< 0.1%
99 23
 
0.6%
ValueCountFrequency (%)
99 23
 
0.6%
9 1
 
< 0.1%
8 15
 
0.4%
6 59
 
1.5%
5 30
 
0.8%
4 13
 
0.3%
3 651
 
17.1%
2 290
 
7.6%
1 2734
71.6%

쉼터명칭
Text

Distinct3700
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
2023-12-12T17:09:21.156121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length7.8550839
Min length2

Characters and Unicode

Total characters29975
Distinct characters426
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3592 ?
Unique (%)94.1%

Sample

1st row대덕1리경로당
2nd row대덕2리경로당
3rd row매당1리경로당
4th row매당2리경로당
5th row매당3리경로당
ValueCountFrequency (%)
경로당 1685
28.2%
마을회관 263
 
4.4%
노인회관 14
 
0.2%
노인회분회 13
 
0.2%
관리소 12
 
0.2%
할머니경로당 11
 
0.2%
관리사무소 10
 
0.2%
노인회 10
 
0.2%
분회경로당 8
 
0.1%
주민센터 8
 
0.1%
Other values (3722) 3946
66.0%
2023-12-12T17:09:21.647555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 3014
 
10.1%
경 2944
 
9.8%
로 2925
 
9.8%
리 2402
 
8.0%
2167
 
7.2%
1 975
 
3.3%
2 898
 
3.0%
회 725
 
2.4%
관 606
 
2.0%
마 570
 
1.9%
Other values (416) 12749
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24544
81.9%
Decimal Number 2698
 
9.0%
Space Separator 2167
 
7.2%
Close Punctuation 214
 
0.7%
Open Punctuation 214
 
0.7%
Other Punctuation 88
 
0.3%
Uppercase Letter 32
 
0.1%
Lowercase Letter 17
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 3014
 
12.3%
경 2944
 
12.0%
로 2925
 
11.9%
리 2402
 
9.8%
회 725
 
3.0%
관 606
 
2.5%
마 570
 
2.3%
을 507
 
2.1%
통 393
 
1.6%
동 330
 
1.3%
Other values (386) 10128
41.3%
Decimal Number
ValueCountFrequency (%)
1 975
36.1%
2 898
33.3%
3 384
 
14.2%
4 164
 
6.1%
5 88
 
3.3%
6 66
 
2.4%
7 44
 
1.6%
8 36
 
1.3%
9 23
 
0.9%
0 20
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
A 19
59.4%
L 3
 
9.4%
H 2
 
6.2%
S 2
 
6.2%
T 2
 
6.2%
P 2
 
6.2%
K 1
 
3.1%
G 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
@ 52
59.1%
, 19
 
21.6%
. 12
 
13.6%
· 5
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
e 5
29.4%
s 4
23.5%
t 4
23.5%
x 4
23.5%
Space Separator
ValueCountFrequency (%)
2167
100.0%
Close Punctuation
ValueCountFrequency (%)
) 214
100.0%
Open Punctuation
ValueCountFrequency (%)
( 214
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24544
81.9%
Common 5382
 
18.0%
Latin 49
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 3014
 
12.3%
경 2944
 
12.0%
로 2925
 
11.9%
리 2402
 
9.8%
회 725
 
3.0%
관 606
 
2.5%
마 570
 
2.3%
을 507
 
2.1%
통 393
 
1.6%
동 330
 
1.3%
Other values (386) 10128
41.3%
Common
ValueCountFrequency (%)
2167
40.3%
1 975
18.1%
2 898
16.7%
3 384
 
7.1%
) 214
 
4.0%
( 214
 
4.0%
4 164
 
3.0%
5 88
 
1.6%
6 66
 
1.2%
@ 52
 
1.0%
Other values (8) 160
 
3.0%
Latin
ValueCountFrequency (%)
A 19
38.8%
e 5
 
10.2%
s 4
 
8.2%
t 4
 
8.2%
x 4
 
8.2%
L 3
 
6.1%
H 2
 
4.1%
S 2
 
4.1%
T 2
 
4.1%
P 2
 
4.1%
Other values (2) 2
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24544
81.9%
ASCII 5426
 
18.1%
None 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 3014
 
12.3%
경 2944
 
12.0%
로 2925
 
11.9%
리 2402
 
9.8%
회 725
 
3.0%
관 606
 
2.5%
마 570
 
2.3%
을 507
 
2.1%
통 393
 
1.6%
동 330
 
1.3%
Other values (386) 10128
41.3%
ASCII
ValueCountFrequency (%)
2167
39.9%
1 975
18.0%
2 898
16.5%
3 384
 
7.1%
) 214
 
3.9%
( 214
 
3.9%
4 164
 
3.0%
5 88
 
1.6%
6 66
 
1.2%
@ 52
 
1.0%
Other values (19) 204
 
3.8%
None
ValueCountFrequency (%)
· 5
100.0%

상세주소
Text

MISSING 

Distinct3411
Distinct (%)97.4%
Missing313
Missing (%)8.2%
Memory size29.9 KiB
2023-12-12T17:09:22.060161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length10.224379
Min length2

Characters and Unicode

Total characters35816
Distinct characters396
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3325 ?
Unique (%)94.9%

Sample

1st row261-7
2nd row51-0
3rd row571-4
4th row450-2
5th row281-2
ValueCountFrequency (%)
경로당 142
 
1.9%
마을회관 67
 
0.9%
읍내리 27
 
0.4%
관리사무소 18
 
0.2%
주공아파트 16
 
0.2%
산 15
 
0.2%
삼은리 15
 
0.2%
안심리 13
 
0.2%
성환리 13
 
0.2%
병천리 13
 
0.2%
Other values (4930) 6945
95.3%
2023-12-12T17:09:22.670044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3782
 
10.6%
리 2846
 
7.9%
1 2747
 
7.7%
- 2654
 
7.4%
2 2147
 
6.0%
3 1776
 
5.0%
4 1335
 
3.7%
5 1232
 
3.4%
6 1086
 
3.0%
0 1082
 
3.0%
Other values (386) 15129
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15197
42.4%
Decimal Number 14026
39.2%
Space Separator 3782
 
10.6%
Dash Punctuation 2654
 
7.4%
Other Punctuation 54
 
0.2%
Close Punctuation 39
 
0.1%
Open Punctuation 39
 
0.1%
Uppercase Letter 19
 
0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 2846
 
18.7%
관 573
 
3.8%
회 520
 
3.4%
당 454
 
3.0%
경 396
 
2.6%
로 373
 
2.5%
마 372
 
2.4%
을 324
 
2.1%
산 298
 
2.0%
신 280
 
1.8%
Other values (352) 8761
57.6%
Decimal Number
ValueCountFrequency (%)
1 2747
19.6%
2 2147
15.3%
3 1776
12.7%
4 1335
9.5%
5 1232
8.8%
6 1086
 
7.7%
0 1082
 
7.7%
7 945
 
6.7%
8 873
 
6.2%
9 803
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
A 4
21.1%
D 2
10.5%
S 2
10.5%
T 2
10.5%
X 2
10.5%
N 2
10.5%
K 2
10.5%
W 1
 
5.3%
F 1
 
5.3%
M 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
@ 31
57.4%
, 17
31.5%
. 3
 
5.6%
/ 2
 
3.7%
: 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
k 1
16.7%
r 1
16.7%
a 1
16.7%
p 1
16.7%
Space Separator
ValueCountFrequency (%)
3782
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2654
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20594
57.5%
Hangul 15197
42.4%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 2846
 
18.7%
관 573
 
3.8%
회 520
 
3.4%
당 454
 
3.0%
경 396
 
2.6%
로 373
 
2.5%
마 372
 
2.4%
을 324
 
2.1%
산 298
 
2.0%
신 280
 
1.8%
Other values (352) 8761
57.6%
Common
ValueCountFrequency (%)
3782
18.4%
1 2747
13.3%
- 2654
12.9%
2 2147
10.4%
3 1776
8.6%
4 1335
 
6.5%
5 1232
 
6.0%
6 1086
 
5.3%
0 1082
 
5.3%
7 945
 
4.6%
Other values (9) 1808
8.8%
Latin
ValueCountFrequency (%)
A 4
16.0%
e 2
 
8.0%
D 2
 
8.0%
S 2
 
8.0%
T 2
 
8.0%
X 2
 
8.0%
N 2
 
8.0%
K 2
 
8.0%
k 1
 
4.0%
r 1
 
4.0%
Other values (5) 5
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20619
57.6%
Hangul 15197
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3782
18.3%
1 2747
13.3%
- 2654
12.9%
2 2147
10.4%
3 1776
8.6%
4 1335
 
6.5%
5 1232
 
6.0%
6 1086
 
5.3%
0 1082
 
5.2%
7 945
 
4.6%
Other values (24) 1833
8.9%
Hangul
ValueCountFrequency (%)
리 2846
 
18.7%
관 573
 
3.8%
회 520
 
3.4%
당 454
 
3.0%
경 396
 
2.6%
로 373
 
2.5%
마 372
 
2.4%
을 324
 
2.1%
산 298
 
2.0%
신 280
 
1.8%
Other values (352) 8761
57.6%

사용여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
True
3788 
False
 
28
ValueCountFrequency (%)
True 3788
99.3%
False 28
 
0.7%
2023-12-12T17:09:22.822823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

운영시작일자
Real number (ℝ)

MISSING  SKEWED 

Distinct7
Distinct (%)0.4%
Missing1961
Missing (%)51.4%
Infinite0
Infinite (%)0.0%
Mean20170542
Minimum20160601
Maximum20170701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2023-12-12T17:09:22.932553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160601
5-th percentile20170515
Q120170515
median20170601
Q320170601
95-th percentile20170601
Maximum20170701
Range10100
Interquartile range (IQR)86

Descriptive statistics

Standard deviation337.35904
Coefficient of variation (CV)1.6725333 × 10-5
Kurtosis813.15038
Mean20170542
Median Absolute Deviation (MAD)0
Skewness-27.683476
Sum3.7416356 × 1010
Variance113811.12
MonotonicityNot monotonic
2023-12-12T17:09:23.066521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20170601 982
25.7%
20170515 791
20.7%
20170101 44
 
1.2%
20170701 27
 
0.7%
20170401 6
 
0.2%
20170501 3
 
0.1%
20160601 2
 
0.1%
(Missing) 1961
51.4%
ValueCountFrequency (%)
20160601 2
 
0.1%
20170101 44
 
1.2%
20170401 6
 
0.2%
20170501 3
 
0.1%
20170515 791
20.7%
20170601 982
25.7%
20170701 27
 
0.7%
ValueCountFrequency (%)
20170701 27
 
0.7%
20170601 982
25.7%
20170515 791
20.7%
20170501 3
 
0.1%
20170401 6
 
0.2%
20170101 44
 
1.2%
20160601 2
 
0.1%

운영종료일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.4%
Missing1961
Missing (%)51.4%
Infinite0
Infinite (%)0.0%
Mean20175985
Minimum20160831
Maximum20301231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2023-12-12T17:09:23.181936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160831
5-th percentile20170930
Q120170930
median20170930
Q320170930
95-th percentile20171015
Maximum20301231
Range140400
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25020.993
Coefficient of variation (CV)0.0012401374
Kurtosis21.118249
Mean20175985
Median Absolute Deviation (MAD)0
Skewness4.8009872
Sum3.7426452 × 1010
Variance6.2605008 × 108
MonotonicityNot monotonic
2023-12-12T17:09:23.357363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20170930 1475
38.7%
20171015 298
 
7.8%
20301231 71
 
1.9%
20191031 6
 
0.2%
20160831 2
 
0.1%
20170630 2
 
0.1%
20171031 1
 
< 0.1%
(Missing) 1961
51.4%
ValueCountFrequency (%)
20160831 2
 
0.1%
20170630 2
 
0.1%
20170930 1475
38.7%
20171015 298
 
7.8%
20171031 1
 
< 0.1%
20191031 6
 
0.2%
20301231 71
 
1.9%
ValueCountFrequency (%)
20301231 71
 
1.9%
20191031 6
 
0.2%
20171031 1
 
< 0.1%
20171015 298
 
7.8%
20170930 1475
38.7%
20170630 2
 
0.1%
20160831 2
 
0.1%

시설면적
Real number (ℝ)

ZEROS 

Distinct332
Distinct (%)8.7%
Missing10
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean110.08828
Minimum0
Maximum995
Zeros39
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2023-12-12T17:09:23.550965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q179
median94
Q3121
95-th percentile210
Maximum995
Range995
Interquartile range (IQR)42

Descriptive statistics

Standard deviation75.995218
Coefficient of variation (CV)0.6903116
Kurtosis35.401545
Mean110.08828
Median Absolute Deviation (MAD)20
Skewness4.7054037
Sum418996
Variance5775.2732
MonotonicityNot monotonic
2023-12-12T17:09:23.993422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 415
 
10.9%
100 146
 
3.8%
99 111
 
2.9%
60 110
 
2.9%
83 59
 
1.5%
84 58
 
1.5%
98 58
 
1.5%
50 56
 
1.5%
66 55
 
1.4%
40 54
 
1.4%
Other values (322) 2684
70.3%
ValueCountFrequency (%)
0 39
1.0%
10 16
0.4%
13 1
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
16 1
 
< 0.1%
19 1
 
< 0.1%
21 1
 
< 0.1%
22 1
 
< 0.1%
23 1
 
< 0.1%
ValueCountFrequency (%)
995 1
< 0.1%
988 1
< 0.1%
987 1
< 0.1%
900 1
< 0.1%
861 1
< 0.1%
842 2
0.1%
750 1
< 0.1%
704 1
< 0.1%
679 1
< 0.1%
668 1
< 0.1%

이용가능인원수
Real number (ℝ)

ZEROS 

Distinct128
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.025419
Minimum0
Maximum938
Zeros42
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2023-12-12T17:09:24.171840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q119
median23
Q333
95-th percentile59
Maximum938
Range938
Interquartile range (IQR)14

Descriptive statistics

Standard deviation27.029146
Coefficient of variation (CV)0.93122326
Kurtosis380.23456
Mean29.025419
Median Absolute Deviation (MAD)7
Skewness14.100491
Sum110761
Variance730.57471
MonotonicityNot monotonic
2023-12-12T17:09:24.305506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 703
18.4%
15 521
 
13.7%
30 218
 
5.7%
25 159
 
4.2%
24 130
 
3.4%
10 111
 
2.9%
40 109
 
2.9%
21 93
 
2.4%
23 84
 
2.2%
22 84
 
2.2%
Other values (118) 1604
42.0%
ValueCountFrequency (%)
0 42
 
1.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 3
 
0.1%
6 4
 
0.1%
7 5
 
0.1%
8 9
 
0.2%
9 9
 
0.2%
10 111
2.9%
ValueCountFrequency (%)
938 1
 
< 0.1%
497 1
 
< 0.1%
402 1
 
< 0.1%
300 1
 
< 0.1%
275 1
 
< 0.1%
266 1
 
< 0.1%
252 1
 
< 0.1%
249 1
 
< 0.1%
225 1
 
< 0.1%
210 3
0.1%

선풍기보유대수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)0.5%
Missing47
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean1.8110905
Minimum0
Maximum18
Zeros188
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2023-12-12T17:09:24.459469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2582526
Coefficient of variation (CV)0.69474863
Kurtosis31.285527
Mean1.8110905
Median Absolute Deviation (MAD)1
Skewness4.0172954
Sum6826
Variance1.5831997
MonotonicityNot monotonic
2023-12-12T17:09:24.641989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 1719
45.0%
1 1342
35.2%
3 336
 
8.8%
0 188
 
4.9%
4 88
 
2.3%
5 41
 
1.1%
6 18
 
0.5%
10 15
 
0.4%
8 7
 
0.2%
7 5
 
0.1%
Other values (7) 10
 
0.3%
(Missing) 47
 
1.2%
ValueCountFrequency (%)
0 188
 
4.9%
1 1342
35.2%
2 1719
45.0%
3 336
 
8.8%
4 88
 
2.3%
5 41
 
1.1%
6 18
 
0.5%
7 5
 
0.1%
8 7
 
0.2%
9 1
 
< 0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
17 1
 
< 0.1%
15 1
 
< 0.1%
13 3
 
0.1%
12 1
 
< 0.1%
11 2
 
0.1%
10 15
0.4%
9 1
 
< 0.1%
8 7
0.2%
7 5
 
0.1%

에어컨보유대수
Real number (ℝ)

Distinct14
Distinct (%)0.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.2456094
Minimum0
Maximum17
Zeros18
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2023-12-12T17:09:24.772929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.77973547
Coefficient of variation (CV)0.62598713
Kurtosis136.09522
Mean1.2456094
Median Absolute Deviation (MAD)0
Skewness8.9211458
Sum4752
Variance0.6079874
MonotonicityNot monotonic
2023-12-12T17:09:24.936699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 3104
81.3%
2 570
 
14.9%
3 78
 
2.0%
4 19
 
0.5%
0 18
 
0.5%
5 10
 
0.3%
6 6
 
0.2%
10 2
 
0.1%
17 2
 
0.1%
8 2
 
0.1%
Other values (4) 4
 
0.1%
ValueCountFrequency (%)
0 18
 
0.5%
1 3104
81.3%
2 570
 
14.9%
3 78
 
2.0%
4 19
 
0.5%
5 10
 
0.3%
6 6
 
0.2%
7 1
 
< 0.1%
8 2
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
17 2
 
0.1%
15 1
 
< 0.1%
11 1
 
< 0.1%
10 2
 
0.1%
9 1
 
< 0.1%
8 2
 
0.1%
7 1
 
< 0.1%
6 6
 
0.2%
5 10
0.3%
4 19
0.5%

야간연장운영여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing1086
Missing (%)28.5%
Memory size7.6 KiB
True
2439 
False
291 
(Missing)
1086 
ValueCountFrequency (%)
True 2439
63.9%
False 291
 
7.6%
(Missing) 1086
28.5%
2023-12-12T17:09:25.076762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

숙박가능여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing3065
Missing (%)80.3%
Memory size7.6 KiB
False
751 
(Missing)
3065 
ValueCountFrequency (%)
False 751
 
19.7%
(Missing) 3065
80.3%
2023-12-12T17:09:25.181437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주말운영여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing292
Missing (%)7.7%
Memory size7.6 KiB
True
3498 
False
 
26
(Missing)
 
292
ValueCountFrequency (%)
True 3498
91.7%
False 26
 
0.7%
(Missing) 292
 
7.7%
2023-12-12T17:09:25.294753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소재지지번주소
Text

MISSING 

Distinct3636
Distinct (%)98.5%
Missing126
Missing (%)3.3%
Memory size29.9 KiB
2023-12-12T17:09:25.638923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length27.294851
Min length15

Characters and Unicode

Total characters100718
Distinct characters514
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3583 ?
Unique (%)97.1%

Sample

1st row충청남도 천안시 동남구 광덕면 덕암1길 38
2nd row충청남도 천안시 동남구 광덕면 대추1길 71
3rd row충청남도 천안시 동남구 광덕면 쇳골길 16
4th row충청남도 천안시 동남구 광덕면 광풍로 859
5th row충청남도 천안시 동남구 광덕면 광풍로 951
ValueCountFrequency (%)
충청남도 3690
 
17.6%
842
 
4.0%
천안시 759
 
3.6%
논산시 438
 
2.1%
동남구 419
 
2.0%
서산시 386
 
1.8%
공주시 354
 
1.7%
보령시 352
 
1.7%
서천군 346
 
1.6%
서북구 340
 
1.6%
Other values (5925) 13080
62.3%
2023-12-12T17:09:26.263118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21090
20.9%
남 4440
 
4.4%
청 4175
 
4.1%
도 3799
 
3.8%
충 3777
 
3.8%
1 3191
 
3.2%
시 2827
 
2.8%
길 2775
 
2.8%
면 2396
 
2.4%
산 2054
 
2.0%
Other values (504) 50194
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62411
62.0%
Space Separator 21090
 
20.9%
Decimal Number 13202
 
13.1%
Other Punctuation 1434
 
1.4%
Dash Punctuation 1216
 
1.2%
Close Punctuation 671
 
0.7%
Open Punctuation 671
 
0.7%
Uppercase Letter 17
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 4440
 
7.1%
청 4175
 
6.7%
도 3799
 
6.1%
충 3777
 
6.1%
시 2827
 
4.5%
길 2775
 
4.4%
면 2396
 
3.8%
산 2054
 
3.3%
로 1820
 
2.9%
천 1690
 
2.7%
Other values (470) 32658
52.3%
Decimal Number
ValueCountFrequency (%)
1 3191
24.2%
2 2020
15.3%
3 1530
11.6%
4 1226
 
9.3%
5 1029
 
7.8%
6 989
 
7.5%
7 896
 
6.8%
8 829
 
6.3%
9 773
 
5.9%
0 719
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
A 3
17.6%
X 2
11.8%
N 2
11.8%
K 2
11.8%
S 2
11.8%
T 2
11.8%
W 1
 
5.9%
F 1
 
5.9%
D 1
 
5.9%
M 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 1394
97.2%
@ 31
 
2.2%
. 6
 
0.4%
/ 2
 
0.1%
: 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
k 1
16.7%
r 1
16.7%
a 1
16.7%
p 1
16.7%
Space Separator
ValueCountFrequency (%)
21090
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1216
100.0%
Close Punctuation
ValueCountFrequency (%)
) 671
100.0%
Open Punctuation
ValueCountFrequency (%)
( 671
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62411
62.0%
Common 38284
38.0%
Latin 23
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 4440
 
7.1%
청 4175
 
6.7%
도 3799
 
6.1%
충 3777
 
6.1%
시 2827
 
4.5%
길 2775
 
4.4%
면 2396
 
3.8%
산 2054
 
3.3%
로 1820
 
2.9%
천 1690
 
2.7%
Other values (470) 32658
52.3%
Common
ValueCountFrequency (%)
21090
55.1%
1 3191
 
8.3%
2 2020
 
5.3%
3 1530
 
4.0%
, 1394
 
3.6%
4 1226
 
3.2%
- 1216
 
3.2%
5 1029
 
2.7%
6 989
 
2.6%
7 896
 
2.3%
Other values (9) 3703
 
9.7%
Latin
ValueCountFrequency (%)
A 3
13.0%
e 2
 
8.7%
X 2
 
8.7%
N 2
 
8.7%
K 2
 
8.7%
S 2
 
8.7%
T 2
 
8.7%
k 1
 
4.3%
r 1
 
4.3%
a 1
 
4.3%
Other values (5) 5
21.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62411
62.0%
ASCII 38307
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21090
55.1%
1 3191
 
8.3%
2 2020
 
5.3%
3 1530
 
4.0%
, 1394
 
3.6%
4 1226
 
3.2%
- 1216
 
3.2%
5 1029
 
2.7%
6 989
 
2.6%
7 896
 
2.3%
Other values (24) 3726
 
9.7%
Hangul
ValueCountFrequency (%)
남 4440
 
7.1%
청 4175
 
6.7%
도 3799
 
6.1%
충 3777
 
6.1%
시 2827
 
4.5%
길 2775
 
4.4%
면 2396
 
3.8%
산 2054
 
3.3%
로 1820
 
2.9%
천 1690
 
2.7%
Other values (470) 32658
52.3%

경도
Real number (ℝ)

Distinct3520
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.79354
Minimum123.77474
Maximum127.62461
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2023-12-12T17:09:26.459215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum123.77474
5-th percentile126.27931
Q1126.60531
median126.95249
Q3127.134
95-th percentile127.2975
Maximum127.62461
Range3.849869
Interquartile range (IQR)0.5286925

Descriptive statistics

Standard deviation0.63395066
Coefficient of variation (CV)0.0049998657
Kurtosis14.141195
Mean126.79354
Median Absolute Deviation (MAD)0.2154165
Skewness-3.4821446
Sum483844.14
Variance0.40189344
MonotonicityNot monotonic
2023-12-12T17:09:26.640882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123.77474 126
 
3.3%
127.150333 40
 
1.0%
126.802258 22
 
0.6%
126.691313 5
 
0.1%
126.645567 4
 
0.1%
126.605307 3
 
0.1%
127.056261 3
 
0.1%
126.775119 3
 
0.1%
126.605013 3
 
0.1%
126.607348 3
 
0.1%
Other values (3510) 3604
94.4%
ValueCountFrequency (%)
123.77474 126
3.3%
126.063201 1
 
< 0.1%
126.080406 1
 
< 0.1%
126.135691 1
 
< 0.1%
126.138787 1
 
< 0.1%
126.148232 1
 
< 0.1%
126.151258 1
 
< 0.1%
126.152957 1
 
< 0.1%
126.157841 1
 
< 0.1%
126.159321 1
 
< 0.1%
ValueCountFrequency (%)
127.624609 1
< 0.1%
127.595176 1
< 0.1%
127.594967 1
< 0.1%
127.594358 1
< 0.1%
127.585167 1
< 0.1%
127.584459 1
< 0.1%
127.58191 1
< 0.1%
127.581112 1
< 0.1%
127.578867 1
< 0.1%
127.572575 1
< 0.1%

위도
Real number (ℝ)

Distinct3524
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.392892
Minimum32.53129
Maximum37.001053
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2023-12-12T17:09:26.854340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.53129
5-th percentile36.04655
Q136.219793
median36.496027
Q336.789854
95-th percentile36.902779
Maximum37.001053
Range4.469763
Interquartile range (IQR)0.570061

Descriptive statistics

Standard deviation0.76697595
Coefficient of variation (CV)0.021074883
Kurtosis18.302319
Mean36.392892
Median Absolute Deviation (MAD)0.2898015
Skewness-4.1527454
Sum138875.28
Variance0.5882521
MonotonicityNot monotonic
2023-12-12T17:09:27.028349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.53129 126
 
3.3%
36.806985 40
 
1.0%
36.459188 22
 
0.6%
36.080231 5
 
0.1%
36.889545 4
 
0.1%
36.341876 3
 
0.1%
36.770626 3
 
0.1%
36.397929 3
 
0.1%
36.35199 3
 
0.1%
36.343507 3
 
0.1%
Other values (3514) 3604
94.4%
ValueCountFrequency (%)
32.53129 126
3.3%
36.001394 1
 
< 0.1%
36.003398 1
 
< 0.1%
36.006013 1
 
< 0.1%
36.006096 1
 
< 0.1%
36.007009 1
 
< 0.1%
36.009527 1
 
< 0.1%
36.010323 1
 
< 0.1%
36.010356 1
 
< 0.1%
36.010654 1
 
< 0.1%
ValueCountFrequency (%)
37.001053 1
< 0.1%
36.990925 1
< 0.1%
36.99022 1
< 0.1%
36.988737 1
< 0.1%
36.988521 1
< 0.1%
36.987 1
< 0.1%
36.98212 1
< 0.1%
36.980485 1
< 0.1%
36.971316 1
< 0.1%
36.970986 1
< 0.1%

관리기관코드
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)2.4%
Missing1961
Missing (%)51.4%
Infinite0
Infinite (%)0.0%
Mean4993671.2
Minimum4490323
Maximum5680093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2023-12-12T17:09:27.201737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4490323
5-th percentile4530311
Q14580084
median4590104
Q35650019.5
95-th percentile5660015
Maximum5680093
Range1189770
Interquartile range (IQR)1069935.5

Descriptive statistics

Standard deviation530609.44
Coefficient of variation (CV)0.10625638
Kurtosis-1.803057
Mean4993671.2
Median Absolute Deviation (MAD)59793
Skewness0.43600706
Sum9.2632601 × 109
Variance2.8154638 × 1011
MonotonicityNot monotonic
2023-12-12T17:09:27.372364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
4580084 345
 
9.0%
4590104 290
 
7.6%
4530311 223
 
5.8%
4550074 137
 
3.6%
5660008 73
 
1.9%
5660010 46
 
1.2%
5660011 40
 
1.0%
5660009 39
 
1.0%
4490323 39
 
1.0%
5650010 39
 
1.0%
Other values (35) 584
 
15.3%
(Missing) 1961
51.4%
ValueCountFrequency (%)
4490323 39
 
1.0%
4510205 1
 
< 0.1%
4530255 2
 
0.1%
4530311 223
5.8%
4540190 7
 
0.2%
4550074 137
 
3.6%
4580084 345
9.0%
4590104 290
7.6%
4600153 12
 
0.3%
4610044 27
 
0.7%
ValueCountFrequency (%)
5680093 1
 
< 0.1%
5680090 6
 
0.2%
5660026 16
0.4%
5660025 21
0.6%
5660024 11
0.3%
5660017 17
0.4%
5660016 11
0.3%
5660015 26
0.7%
5660014 12
0.3%
5660013 12
0.3%

관리기관전화번호
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
<NA>
3076 
041-950-4734
341 
940-2923
 
290
041-521-4534
 
28
521-4951
 
20
Other values (7)
 
61

Length

Max length12
Median length4
Mean length5.2112159
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3076
80.6%
041-950-4734 341
 
8.9%
940-2923 290
 
7.6%
041-521-4534 28
 
0.7%
521-4951 20
 
0.5%
042-840-2332 19
 
0.5%
041-521-4910 17
 
0.4%
041-521-6944 11
 
0.3%
6301997 11
 
0.3%
041-521-6862 1
 
< 0.1%
Other values (2) 2
 
0.1%

Length

2023-12-12T17:09:27.515161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3076
80.6%
041-950-4734 341
 
8.9%
940-2923 290
 
7.6%
041-521-4534 28
 
0.7%
521-4951 20
 
0.5%
042-840-2332 19
 
0.5%
041-521-4910 17
 
0.4%
041-521-6944 11
 
0.3%
6301997 11
 
0.3%
041-521-6862 1
 
< 0.1%
Other values (2) 2
 
0.1%

시설유형명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
노인시설
2734 
마을회관
651 
복지회관
290 
면동사무소
 
59
주민센터
 
30
Other values (4)
 
52

Length

Max length5
Median length4
Mean length3.9994759
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
노인시설 2734
71.6%
마을회관 651
 
17.1%
복지회관 290
 
7.6%
면동사무소 59
 
1.5%
주민센터 30
 
0.8%
기타 23
 
0.6%
금융기관 15
 
0.4%
보건소 13
 
0.3%
정자 1
 
< 0.1%

Length

2023-12-12T17:09:27.668909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:09:27.817010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인시설 2734
71.6%
마을회관 651
 
17.1%
복지회관 290
 
7.6%
면동사무소 59
 
1.5%
주민센터 30
 
0.8%
기타 23
 
0.6%
금융기관 15
 
0.4%
보건소 13
 
0.3%
정자 1
 
< 0.1%

특이사항
Categorical

IMBALANCE 

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
<NA>
3757 
천안시쌍용동
 
11
천안시성정동
 
9
천안시두정동
 
9
천안시 동남구 영성동
 
4
Other values (11)
 
26

Length

Max length11
Median length4
Mean length4.0414046
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3757
98.5%
천안시쌍용동 11
 
0.3%
천안시성정동 9
 
0.2%
천안시두정동 9
 
0.2%
천안시 동남구 영성동 4
 
0.1%
천안시신당동 4
 
0.1%
천안시 용곡동 3
 
0.1%
천안시와촌동 3
 
0.1%
천안시업성동 3
 
0.1%
성정2동 3
 
0.1%
Other values (6) 10
 
0.3%

Length

2023-12-12T17:09:28.023832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3757
97.9%
천안시 12
 
0.3%
천안시쌍용동 11
 
0.3%
천안시성정동 9
 
0.2%
천안시두정동 9
 
0.2%
동남구 8
 
0.2%
영성동 4
 
0.1%
천안시신당동 4
 
0.1%
천안시업성동 3
 
0.1%
성정2동 3
 
0.1%
Other values (8) 16
 
0.4%

Sample

연번시도코드시도명시군구코드시군구명읍면동명법정동코드연도시설유형쉼터명칭상세주소사용여부운영시작일자운영종료일자시설면적이용가능인원수선풍기보유대수에어컨보유대수야간연장운영여부숙박가능여부주말운영여부소재지지번주소경도위도관리기관코드관리기관전화번호시설유형명특이사항
08144충청남도44131천안시 동남구광덕면441313200020171대덕1리경로당261-7Y2017060120170930691721<NA><NA>Y충청남도 천안시 동남구 광덕면 덕암1길 38127.08783636.696045650010<NA>노인시설<NA>
18244충청남도44131천안시 동남구광덕면441313200020171대덕2리경로당51-0Y2017060120170930771921<NA><NA>Y충청남도 천안시 동남구 광덕면 대추1길 71127.09900336.6961435650010<NA>노인시설<NA>
28344충청남도44131천안시 동남구광덕면441313200020171매당1리경로당571-4Y2017060120170930902222<NA><NA>Y충청남도 천안시 동남구 광덕면 쇳골길 16127.09872136.7001515650010<NA>노인시설<NA>
38444충청남도44131천안시 동남구광덕면441313200020171매당2리경로당450-2Y2017060120170930862121<NA><NA>Y충청남도 천안시 동남구 광덕면 광풍로 859127.10584636.7034045650010<NA>노인시설<NA>
48544충청남도44131천안시 동남구광덕면441313200020171매당3리경로당281-2Y20170601201709301062621<NA><NA>Y충청남도 천안시 동남구 광덕면 광풍로 951127.11297536.7092245650010<NA>노인시설<NA>
58644충청남도44131천안시 동남구광덕면441313200020171매당4리경로당211-1Y2017060120170930721821<NA><NA>Y충청남도 천안시 동남구 광덕면 자무실길 36127.10767636.7086625650010<NA>노인시설<NA>
68744충청남도44131천안시 동남구광덕면441313200020176광덕면사무소296-1Y20170601201709301002052<NA><NA><NA>충청남도 천안시 동남구 광덕면 신흥리3길 33127.11118336.6986495650010<NA>면동사무소<NA>
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99044충청남도44131천안시 동남구광덕면441313200020171신흥3리경로당292-4Y2017060120170930842021<NA><NA>Y충청남도 천안시 동남구 광덕면 신흥리3길 37-4127.11099936.6981075650010<NA>노인시설<NA>
연번시도코드시도명시군구코드시군구명읍면동명법정동코드연도시설유형쉼터명칭상세주소사용여부운영시작일자운영종료일자시설면적이용가능인원수선풍기보유대수에어컨보유대수야간연장운영여부숙박가능여부주말운영여부소재지지번주소경도위도관리기관코드관리기관전화번호시설유형명특이사항
3806293344충청남도44710금산군추부면447103900020171요광3요광리 233-6 요광3리장산경로당N2017051520170930832121YNY충청남도 금산군 추부면 장산길 34 , 요광3리장산경로당127.49116536.2175494550074<NA>노인시설<NA>
3807293444충청남도44710금산군추부면447103900020171신평1신평리 545-1 신평경로회관N2017051520170930989021YNY충청남도 금산군 추부면 신평길 12-14, 신평경로회관127.50650436.2262564550074<NA>노인시설<NA>
3808293544충청남도44710금산군추부면447103900020171비례2리경로당342-5Y2017051520170930922222<NA><NA>Y충청남도 금산군 추부면마음동길 27127.4775836.2032594550074<NA>노인시설<NA>
3809293644충청남도44710금산군추부면447103900020171비례1리경로당2-32Y20170515201709302255622<NA><NA>Y충청남도 금산군 추부면골말길 55127.48383536.2074594550074<NA>노인시설<NA>
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3811293844충청남도44770서천군장항읍447702500020173창선1리경로당332-22Y20170515201709301041512YNY충청남도 서천군 장항읍 장서로19번길 21126.69697536.0095274580084041-950-4734마을회관<NA>
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3813294044충청남도44770서천군장항읍447702500020173신창1리경로당신창리 236-5Y20170515201709302381511YNY충청남도 서천군 장항읍 장마로61번길 5126.68956236.0137734580084041-950-4734마을회관<NA>
3814294144충청남도44770서천군장항읍447702500020173장항 경로당신창리 177-4Y20170515201709305551511YNY충청남도 서천군 장항읍 신창동로22번길 7126.69310236.0103234580084041-950-4734마을회관<NA>
3815294244충청남도44770서천군장항읍447702500020171신창2리노인회신창리 186-1Y2017051520170930691513YNY충청남도 서천군 장항읍 장항로 132126.69215636.0112054580084041-950-4734노인시설<NA>