Overview

Dataset statistics

Number of variables22
Number of observations227
Missing cells1578
Missing cells (%)31.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.6 KiB
Average record size in memory187.6 B

Variable types

Categorical8
Text3
DateTime2
Unsupported3
Numeric6

Alerts

영업상태구분코드 is highly imbalanced (65.5%)Imbalance
영업상태명 is highly imbalanced (60.2%)Imbalance
도로명우편번호 is highly imbalanced (94.9%)Imbalance
인허가취소일자 has 227 (100.0%) missing valuesMissing
폐업일자 has 217 (95.6%) missing valuesMissing
소재지시설전화번호 has 227 (100.0%) missing valuesMissing
소재지면적정보 has 220 (96.9%) missing valuesMissing
소재지도로명주소 has 19 (8.4%) missing valuesMissing
소재지우편번호 has 9 (4.0%) missing valuesMissing
WGS84위도 has 15 (6.6%) missing valuesMissing
WGS84경도 has 15 (6.6%) missing valuesMissing
업태구분명정보 has 227 (100.0%) missing valuesMissing
X좌표값 has 201 (88.5%) missing valuesMissing
Y좌표값 has 201 (88.5%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지시설전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 21:37:17.135400
Analysis finished2023-12-10 21:37:17.705516
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct29
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
용인시
27 
고양시
23 
여주시
20 
파주시
20 
남양주시
14 
Other values (24)
123 

Length

Max length4
Median length3
Mean length3.0748899
Min length3

Unique

Unique3 ?
Unique (%)1.3%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row가평군
5th row고양시

Common Values

ValueCountFrequency (%)
용인시 27
 
11.9%
고양시 23
 
10.1%
여주시 20
 
8.8%
파주시 20
 
8.8%
남양주시 14
 
6.2%
양평군 14
 
6.2%
성남시 11
 
4.8%
안산시 10
 
4.4%
부천시 9
 
4.0%
김포시 8
 
3.5%
Other values (19) 71
31.3%

Length

2023-12-11T06:37:17.787483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용인시 27
 
11.9%
고양시 23
 
10.1%
여주시 20
 
8.8%
파주시 20
 
8.8%
남양주시 14
 
6.2%
양평군 14
 
6.2%
성남시 11
 
4.8%
안산시 10
 
4.4%
부천시 9
 
4.0%
김포시 8
 
3.5%
Other values (19) 71
31.3%

사업장명
Text

Distinct209
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T06:37:18.020416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length7.9515419
Min length2

Characters and Unicode

Total characters1805
Distinct characters304
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

Unique191 ?
Unique (%)84.1%

Sample

1st row가일미술관
2nd row남송미술관
3rd row설미재 미술관
4th row일지미술관
5th row유진민속박물관
ValueCountFrequency (%)
박물관 12
 
3.9%
뮤지엄 4
 
1.3%
art 3
 
1.0%
맥아트미술관 2
 
0.6%
유리섬미술관 2
 
0.6%
museum 2
 
0.6%
배다골민속박물관 2
 
0.6%
안산 2
 
0.6%
미술관 2
 
0.6%
소다미술관 2
 
0.6%
Other values (258) 278
89.4%
2023-12-11T06:37:18.371024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 203
 
11.2%
물 133
 
7.4%
박 121
 
6.7%
84
 
4.7%
미 61
 
3.4%
술 57
 
3.2%
한 24
 
1.3%
기 22
 
1.2%
아 22
 
1.2%
시 20
 
1.1%
Other values (294) 1058
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1641
90.9%
Space Separator 84
 
4.7%
Uppercase Letter 40
 
2.2%
Lowercase Letter 24
 
1.3%
Other Punctuation 5
 
0.3%
Decimal Number 4
 
0.2%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 203
 
12.4%
물 133
 
8.1%
박 121
 
7.4%
미 61
 
3.7%
술 57
 
3.5%
한 24
 
1.5%
기 22
 
1.3%
아 22
 
1.3%
시 20
 
1.2%
자 19
 
1.2%
Other values (262) 959
58.4%
Uppercase Letter
ValueCountFrequency (%)
A 8
20.0%
M 8
20.0%
C 4
10.0%
U 3
 
7.5%
O 3
 
7.5%
Z 3
 
7.5%
K 3
 
7.5%
I 2
 
5.0%
L 1
 
2.5%
D 1
 
2.5%
Other values (4) 4
10.0%
Lowercase Letter
ValueCountFrequency (%)
o 8
33.3%
u 4
16.7%
s 2
 
8.3%
e 2
 
8.3%
m 2
 
8.3%
r 2
 
8.3%
t 2
 
8.3%
z 1
 
4.2%
f 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 1
 
20.0%
· 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
3 2
50.0%
Space Separator
ValueCountFrequency (%)
84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1641
90.9%
Common 100
 
5.5%
Latin 64
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 203
 
12.4%
물 133
 
8.1%
박 121
 
7.4%
미 61
 
3.7%
술 57
 
3.5%
한 24
 
1.5%
기 22
 
1.3%
아 22
 
1.3%
시 20
 
1.2%
자 19
 
1.2%
Other values (262) 959
58.4%
Latin
ValueCountFrequency (%)
A 8
12.5%
M 8
12.5%
o 8
12.5%
u 4
 
6.2%
C 4
 
6.2%
U 3
 
4.7%
O 3
 
4.7%
Z 3
 
4.7%
K 3
 
4.7%
s 2
 
3.1%
Other values (13) 18
28.1%
Common
ValueCountFrequency (%)
84
84.0%
. 3
 
3.0%
( 3
 
3.0%
) 3
 
3.0%
1 2
 
2.0%
3 2
 
2.0%
& 1
 
1.0%
- 1
 
1.0%
· 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1641
90.9%
ASCII 163
 
9.0%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 203
 
12.4%
물 133
 
8.1%
박 121
 
7.4%
미 61
 
3.7%
술 57
 
3.5%
한 24
 
1.5%
기 22
 
1.3%
아 22
 
1.3%
시 20
 
1.2%
자 19
 
1.2%
Other values (262) 959
58.4%
ASCII
ValueCountFrequency (%)
84
51.5%
A 8
 
4.9%
M 8
 
4.9%
o 8
 
4.9%
u 4
 
2.5%
C 4
 
2.5%
U 3
 
1.8%
O 3
 
1.8%
. 3
 
1.8%
( 3
 
1.8%
Other values (21) 35
21.5%
None
ValueCountFrequency (%)
· 1
100.0%

인허가일자
Date

Distinct170
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum1979-12-12 00:00:00
Maximum2023-09-06 00:00:00
2023-12-11T06:37:18.503674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:18.635341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing227
Missing (%)100.0%
Memory size2.1 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
198 
13
 
19
1
 
9
3
 
1

Length

Max length4
Median length4
Mean length3.7004405
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row13

Common Values

ValueCountFrequency (%)
<NA> 198
87.2%
13 19
 
8.4%
1 9
 
4.0%
3 1
 
0.4%

Length

2023-12-11T06:37:18.755738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:37:18.844717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
87.2%
13 19
 
8.4%
1 9
 
4.0%
3 1
 
0.4%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
운영중
189 
영업중
19 
폐업 등
 
9
영업
 
9
폐업
 
1

Length

Max length4
Median length3
Mean length2.9955947
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row운영중
2nd row운영중
3rd row운영중
4th row운영중
5th row영업중

Common Values

ValueCountFrequency (%)
운영중 189
83.3%
영업중 19
 
8.4%
폐업 등 9
 
4.0%
영업 9
 
4.0%
폐업 1
 
0.4%

Length

2023-12-11T06:37:18.952949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:37:19.060224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 189
80.1%
영업중 19
 
8.1%
폐업 10
 
4.2%
등 9
 
3.8%
영업 9
 
3.8%

폐업일자
Date

MISSING 

Distinct9
Distinct (%)90.0%
Missing217
Missing (%)95.6%
Memory size1.9 KiB
Minimum2008-12-08 00:00:00
Maximum2023-01-31 00:00:00
2023-12-11T06:37:19.147953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:37:19.251498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

소재지시설전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing227
Missing (%)100.0%
Memory size2.1 KiB

소재지면적정보
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing220
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean592.84
Minimum145.92
Maximum1104.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T06:37:19.404280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum145.92
5-th percentile205.743
Q1355.665
median596.88
Q3795.59
95-th percentile1020.699
Maximum1104.57
Range958.65
Interquartile range (IQR)439.925

Descriptive statistics

Standard deviation331.23104
Coefficient of variation (CV)0.55871911
Kurtosis-0.79898431
Mean592.84
Median Absolute Deviation (MAD)230.88
Skewness0.22873872
Sum4149.88
Variance109714
MonotonicityNot monotonic
2023-12-11T06:37:19.507113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
766.18 1
 
0.4%
825.0 1
 
0.4%
596.88 1
 
0.4%
345.33 1
 
0.4%
1104.57 1
 
0.4%
145.92 1
 
0.4%
366.0 1
 
0.4%
(Missing) 220
96.9%
ValueCountFrequency (%)
145.92 1
0.4%
345.33 1
0.4%
366.0 1
0.4%
596.88 1
0.4%
766.18 1
0.4%
825.0 1
0.4%
1104.57 1
0.4%
ValueCountFrequency (%)
1104.57 1
0.4%
825.0 1
0.4%
766.18 1
0.4%
596.88 1
0.4%
366.0 1
0.4%
345.33 1
0.4%
145.92 1
0.4%

도로명우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
225 
14749
 
1
12654
 
1

Length

Max length5
Median length4
Mean length4.0088106
Min length4

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 225
99.1%
14749 1
 
0.4%
12654 1
 
0.4%

Length

2023-12-11T06:37:19.610720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:37:19.701659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 225
99.1%
14749 1
 
0.4%
12654 1
 
0.4%

소재지도로명주소
Text

MISSING 

Distinct184
Distinct (%)88.5%
Missing19
Missing (%)8.4%
Memory size1.9 KiB
2023-12-11T06:37:19.965611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length26.995192
Min length18

Characters and Unicode

Total characters5615
Distinct characters267
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)78.4%

Sample

1st row경기도 가평군 청평면 북한강로 1549-0, 1동 1층 (가일미술관)
2nd row경기도 가평군 북면 백둔로 322-0, 1동 1층 (남송미술관)
3rd row경기도 가평군 설악면 유명로 1454-38
4th row경기도 가평군 하면 운악청계로 140
5th row경기도 고양시 덕양구 고양대로1670번길 78-11 (원흥동)
ValueCountFrequency (%)
경기도 208
 
17.6%
용인시 24
 
2.0%
여주시 20
 
1.7%
고양시 19
 
1.6%
파주시 19
 
1.6%
1동 17
 
1.4%
1층 16
 
1.4%
덕양구 14
 
1.2%
남양주시 13
 
1.1%
처인구 13
 
1.1%
Other values (514) 818
69.3%
2023-12-11T06:37:20.509510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
976
 
17.4%
기 230
 
4.1%
경 217
 
3.9%
도 213
 
3.8%
시 200
 
3.6%
1 172
 
3.1%
로 165
 
2.9%
동 161
 
2.9%
( 138
 
2.5%
) 138
 
2.5%
Other values (257) 3005
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3361
59.9%
Space Separator 976
 
17.4%
Decimal Number 844
 
15.0%
Open Punctuation 138
 
2.5%
Close Punctuation 138
 
2.5%
Dash Punctuation 104
 
1.9%
Other Punctuation 49
 
0.9%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 230
 
6.8%
경 217
 
6.5%
도 213
 
6.3%
시 200
 
6.0%
로 165
 
4.9%
동 161
 
4.8%
양 88
 
2.6%
길 87
 
2.6%
구 75
 
2.2%
주 74
 
2.2%
Other values (236) 1851
55.1%
Decimal Number
ValueCountFrequency (%)
1 172
20.4%
0 109
12.9%
2 94
11.1%
3 81
9.6%
4 69
8.2%
6 69
8.2%
5 66
 
7.8%
7 64
 
7.6%
8 60
 
7.1%
9 60
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
20.0%
C 1
20.0%
K 1
20.0%
M 1
20.0%
S 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 48
98.0%
. 1
 
2.0%
Space Separator
ValueCountFrequency (%)
976
100.0%
Open Punctuation
ValueCountFrequency (%)
( 138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3361
59.9%
Common 2249
40.1%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 230
 
6.8%
경 217
 
6.5%
도 213
 
6.3%
시 200
 
6.0%
로 165
 
4.9%
동 161
 
4.8%
양 88
 
2.6%
길 87
 
2.6%
구 75
 
2.2%
주 74
 
2.2%
Other values (236) 1851
55.1%
Common
ValueCountFrequency (%)
976
43.4%
1 172
 
7.6%
( 138
 
6.1%
) 138
 
6.1%
0 109
 
4.8%
- 104
 
4.6%
2 94
 
4.2%
3 81
 
3.6%
4 69
 
3.1%
6 69
 
3.1%
Other values (6) 299
 
13.3%
Latin
ValueCountFrequency (%)
B 1
20.0%
C 1
20.0%
K 1
20.0%
M 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3361
59.9%
ASCII 2254
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
976
43.3%
1 172
 
7.6%
( 138
 
6.1%
) 138
 
6.1%
0 109
 
4.8%
- 104
 
4.6%
2 94
 
4.2%
3 81
 
3.6%
4 69
 
3.1%
6 69
 
3.1%
Other values (11) 304
 
13.5%
Hangul
ValueCountFrequency (%)
기 230
 
6.8%
경 217
 
6.5%
도 213
 
6.3%
시 200
 
6.0%
로 165
 
4.9%
동 161
 
4.8%
양 88
 
2.6%
길 87
 
2.6%
구 75
 
2.2%
주 74
 
2.2%
Other values (236) 1851
55.1%

소재지지번주소
Text

Distinct213
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T06:37:20.818084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length23.321586
Min length16

Characters and Unicode

Total characters5294
Distinct characters190
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique199 ?
Unique (%)87.7%

Sample

1st row경기도 가평군 청평면 삼회리 609번지 6호 1동 1호
2nd row경기도 가평군 북면 백둔리 198번지 9호 1동 1호
3rd row경기도 가평군 설악면 신천리 721번지 15호
4th row경기도 가평군 하면 현리 49번지 3호
5th row경기도 고양시 덕양구 원흥동 440-2
ValueCountFrequency (%)
경기도 226
 
17.5%
1호 60
 
4.7%
용인시 27
 
2.1%
고양시 23
 
1.8%
파주시 20
 
1.6%
덕양구 18
 
1.4%
1동 17
 
1.3%
2호 16
 
1.2%
처인구 15
 
1.2%
남양주시 14
 
1.1%
Other values (461) 854
66.2%
2023-12-11T06:37:21.254502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1111
21.0%
기 242
 
4.6%
도 231
 
4.4%
경 226
 
4.3%
지 213
 
4.0%
1 209
 
3.9%
번 207
 
3.9%
시 206
 
3.9%
동 160
 
3.0%
호 154
 
2.9%
Other values (180) 2335
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3286
62.1%
Space Separator 1111
 
21.0%
Decimal Number 879
 
16.6%
Dash Punctuation 15
 
0.3%
Uppercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 242
 
7.4%
도 231
 
7.0%
경 226
 
6.9%
지 213
 
6.5%
번 207
 
6.3%
시 206
 
6.3%
동 160
 
4.9%
호 154
 
4.7%
리 105
 
3.2%
양 94
 
2.9%
Other values (166) 1448
44.1%
Decimal Number
ValueCountFrequency (%)
1 209
23.8%
2 119
13.5%
3 106
12.1%
0 78
 
8.9%
6 69
 
7.8%
4 68
 
7.7%
5 66
 
7.5%
8 60
 
6.8%
9 53
 
6.0%
7 51
 
5.8%
Space Separator
ValueCountFrequency (%)
1111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3286
62.1%
Common 2006
37.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 242
 
7.4%
도 231
 
7.0%
경 226
 
6.9%
지 213
 
6.5%
번 207
 
6.3%
시 206
 
6.3%
동 160
 
4.9%
호 154
 
4.7%
리 105
 
3.2%
양 94
 
2.9%
Other values (166) 1448
44.1%
Common
ValueCountFrequency (%)
1111
55.4%
1 209
 
10.4%
2 119
 
5.9%
3 106
 
5.3%
0 78
 
3.9%
6 69
 
3.4%
4 68
 
3.4%
5 66
 
3.3%
8 60
 
3.0%
9 53
 
2.6%
Other values (3) 67
 
3.3%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3286
62.1%
ASCII 2008
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1111
55.3%
1 209
 
10.4%
2 119
 
5.9%
3 106
 
5.3%
0 78
 
3.9%
6 69
 
3.4%
4 68
 
3.4%
5 66
 
3.3%
8 60
 
3.0%
9 53
 
2.6%
Other values (4) 69
 
3.4%
Hangul
ValueCountFrequency (%)
기 242
 
7.4%
도 231
 
7.0%
경 226
 
6.9%
지 213
 
6.5%
번 207
 
6.3%
시 206
 
6.3%
동 160
 
4.9%
호 154
 
4.7%
리 105
 
3.2%
양 94
 
2.9%
Other values (166) 1448
44.1%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct156
Distinct (%)71.6%
Missing9
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean13492.693
Minimum10003
Maximum18595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T06:37:21.392038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10003
5-th percentile10288
Q111333.75
median12653.5
Q315650
95-th percentile17406.65
Maximum18595
Range8592
Interquartile range (IQR)4316.25

Descriptive statistics

Standard deviation2467.4013
Coefficient of variation (CV)0.18286945
Kurtosis-1.0557636
Mean13492.693
Median Absolute Deviation (MAD)1794.5
Skewness0.44257191
Sum2941407
Variance6088069.3
MonotonicityNot monotonic
2023-12-11T06:37:21.516088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10859 12
 
5.3%
12609 7
 
3.1%
15650 4
 
1.8%
10881 3
 
1.3%
12603 3
 
1.3%
17022 3
 
1.3%
16949 3
 
1.3%
10041 3
 
1.3%
12503 3
 
1.3%
10288 2
 
0.9%
Other values (146) 175
77.1%
(Missing) 9
 
4.0%
ValueCountFrequency (%)
10003 1
 
0.4%
10041 3
1.3%
10049 1
 
0.4%
10062 1
 
0.4%
10129 2
0.9%
10268 1
 
0.4%
10273 1
 
0.4%
10288 2
0.9%
10293 2
0.9%
10392 1
 
0.4%
ValueCountFrequency (%)
18595 1
0.4%
18362 2
0.9%
18347 1
0.4%
18327 1
0.4%
18131 1
0.4%
18112 1
0.4%
18103 1
0.4%
17555 1
0.4%
17516 1
0.4%
17501 1
0.4%

WGS84위도
Real number (ℝ)

MISSING 

Distinct179
Distinct (%)84.4%
Missing15
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean37.47762
Minimum37.062376
Maximum38.068343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T06:37:21.658738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.062376
5-th percentile37.170008
Q137.290069
median37.442971
Q337.650471
95-th percentile37.809745
Maximum38.068343
Range1.005967
Interquartile range (IQR)0.36040202

Descriptive statistics

Standard deviation0.21571316
Coefficient of variation (CV)0.0057557859
Kurtosis-0.80814982
Mean37.47762
Median Absolute Deviation (MAD)0.16905104
Skewness0.28138894
Sum7945.2554
Variance0.046532166
MonotonicityNot monotonic
2023-12-11T06:37:21.837196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3986591539 7
 
3.1%
37.2197885275 4
 
1.8%
37.2773126413 3
 
1.3%
37.3003720757 3
 
1.3%
37.2016260197 2
 
0.9%
37.6506537114 2
 
0.9%
37.6980229313 2
 
0.9%
37.5086718515 2
 
0.9%
37.4337250099 2
 
0.9%
37.4488458455 2
 
0.9%
Other values (169) 183
80.6%
(Missing) 15
 
6.6%
ValueCountFrequency (%)
37.0623757353 1
0.4%
37.0627792532 1
0.4%
37.1120788965 1
0.4%
37.126303916 1
0.4%
37.1409591279 1
0.4%
37.1413267535 1
0.4%
37.1467550216 1
0.4%
37.1504047255 1
0.4%
37.1602557297 1
0.4%
37.1645446119 1
0.4%
ValueCountFrequency (%)
38.0683427258 1
0.4%
37.9706331177 1
0.4%
37.9659224212 1
0.4%
37.944593418 1
0.4%
37.9045132527 1
0.4%
37.8904660485 1
0.4%
37.85680263 1
0.4%
37.8412152854 1
0.4%
37.8377159356 1
0.4%
37.836102126 1
0.4%

WGS84경도
Real number (ℝ)

MISSING 

Distinct179
Distinct (%)84.4%
Missing15
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean127.07946
Minimum126.53873
Maximum127.73733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T06:37:21.965987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53873
5-th percentile126.63771
Q1126.85071
median127.07908
Q3127.28177
95-th percentile127.61621
Maximum127.73733
Range1.1986028
Interquartile range (IQR)0.4310641

Descriptive statistics

Standard deviation0.29591994
Coefficient of variation (CV)0.0023286214
Kurtosis-0.65942455
Mean127.07946
Median Absolute Deviation (MAD)0.22550554
Skewness0.26516951
Sum26940.845
Variance0.087568613
MonotonicityNot monotonic
2023-12-11T06:37:22.117999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.6092426582 7
 
3.1%
126.6023925616 4
 
1.8%
127.0900943448 3
 
1.3%
127.2169533071 3
 
1.3%
127.0060675712 2
 
0.9%
126.53872715 2
 
0.9%
127.1608295461 2
 
0.9%
126.7437361036 2
 
0.9%
127.0810818255 2
 
0.9%
127.1677010509 2
 
0.9%
Other values (169) 183
80.6%
(Missing) 15
 
6.6%
ValueCountFrequency (%)
126.53872715 2
0.9%
126.5389738895 1
 
0.4%
126.5744440771 1
 
0.4%
126.575983017 1
 
0.4%
126.5977792237 1
 
0.4%
126.6023925616 4
1.8%
126.6296887577 1
 
0.4%
126.6442704429 1
 
0.4%
126.6461276758 1
 
0.4%
126.6846743616 1
 
0.4%
ValueCountFrequency (%)
127.7373299931 1
0.4%
127.7081456066 1
0.4%
127.6912189202 1
0.4%
127.6881568938 2
0.9%
127.6756098815 1
0.4%
127.6663831773 1
0.4%
127.6633534888 1
0.4%
127.6554257107 1
0.4%
127.6545498438 1
0.4%
127.6164271659 1
0.4%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing227
Missing (%)100.0%
Memory size2.1 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)92.3%
Missing201
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean196930.27
Minimum159233.02
Maximum265258.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T06:37:22.275769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159233.02
5-th percentile164602.61
Q1179266.4
median187284.53
Q3211704.66
95-th percentile253988.94
Maximum265258.07
Range106025.06
Interquartile range (IQR)32438.261

Descriptive statistics

Standard deviation29157.577
Coefficient of variation (CV)0.14806042
Kurtosis0.16854674
Mean196930.27
Median Absolute Deviation (MAD)13178.073
Skewness1.0078192
Sum5120187
Variance8.5016432 × 108
MonotonicityNot monotonic
2023-12-11T06:37:22.395396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
200462.604381963 2
 
0.9%
164602.609308044 2
 
0.9%
182151.662005896 1
 
0.4%
173317.257592043 1
 
0.4%
219253.067553331 1
 
0.4%
258761.700809471 1
 
0.4%
239670.649319449 1
 
0.4%
231263.810997573 1
 
0.4%
239656.429709345 1
 
0.4%
265258.073499069 1
 
0.4%
Other values (14) 14
 
6.2%
(Missing) 201
88.5%
ValueCountFrequency (%)
159233.015275852 1
0.4%
164602.609308044 2
0.9%
167209.7141521 1
0.4%
173317.257592043 1
0.4%
177525.457859854 1
0.4%
178816.809027043 1
0.4%
180615.161959684 1
0.4%
181061.8329641 1
0.4%
182151.662005896 1
0.4%
182490.819661599 1
0.4%
ValueCountFrequency (%)
265258.073499069 1
0.4%
258761.700809471 1
0.4%
239670.649319449 1
0.4%
239656.429709345 1
0.4%
231263.810997573 1
0.4%
219253.067553331 1
0.4%
215452.009336538 1
0.4%
200462.604381963 2
0.9%
200086.460701481 1
0.4%
190784.126188877 1
0.4%

Y좌표값
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)92.3%
Missing201
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean441207
Minimum395609.77
Maximum476348.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T06:37:22.503234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum395609.77
5-th percentile411100.2
Q1424556.3
median445438.91
Q3459398.88
95-th percentile461202.48
Maximum476348.11
Range80738.341
Interquartile range (IQR)34842.577

Descriptive statistics

Standard deviation20966.344
Coefficient of variation (CV)0.047520425
Kurtosis-0.70469743
Mean441207
Median Absolute Deviation (MAD)14566.5
Skewness-0.53303614
Sum11471382
Variance4.3958758 × 108
MonotonicityNot monotonic
2023-12-11T06:37:22.622869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
411100.201553931 2
 
0.9%
413266.170063822 2
 
0.9%
444565.080589456 1
 
0.4%
476348.108825047 1
 
0.4%
422055.266543376 1
 
0.4%
417744.938172544 1
 
0.4%
432059.411713092 1
 
0.4%
454994.779146134 1
 
0.4%
445311.707826955 1
 
0.4%
432854.081830461 1
 
0.4%
Other values (14) 14
 
6.2%
(Missing) 201
88.5%
ValueCountFrequency (%)
395609.767713643 1
0.4%
411100.201553931 2
0.9%
413266.170063822 2
0.9%
417744.938172544 1
0.4%
422055.266543376 1
0.4%
432059.411713092 1
0.4%
432854.081830461 1
0.4%
436225.411955925 1
0.4%
441488.786882868 1
0.4%
444565.080589456 1
0.4%
ValueCountFrequency (%)
476348.108825047 1
0.4%
461251.68931972 1
0.4%
461054.842741603 1
0.4%
461026.533381163 1
0.4%
460802.626677644 1
0.4%
460397.218222438 1
0.4%
459613.608673727 1
0.4%
458754.69155263 1
0.4%
454994.779146134 1
0.4%
454911.121318015 1
0.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
박물관
163 
미술관
64 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미술관
2nd row미술관
3rd row미술관
4th row미술관
5th row박물관

Common Values

ValueCountFrequency (%)
박물관 163
71.8%
미술관 64
 
28.2%

Length

2023-12-11T06:37:22.734134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:37:22.810215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
박물관 163
71.8%
미술관 64
 
28.2%

설립운영주체구분명
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
사립
165 
공립
47 
대학
 
13
국립
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 165
72.7%
공립 47
 
20.7%
대학 13
 
5.7%
국립 2
 
0.9%

Length

2023-12-11T06:37:22.891817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:37:22.972274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 165
72.7%
공립 47
 
20.7%
대학 13
 
5.7%
국립 2
 
0.9%

박물관미술관종류명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
1종
172 
2종
55 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1종
2nd row1종
3rd row2종
4th row2종
5th row1종

Common Values

ValueCountFrequency (%)
1종 172
75.8%
2종 55
 
24.2%

Length

2023-12-11T06:37:23.064309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:37:23.161310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1종 172
75.8%
2종 55
 
24.2%

박물관미술관유형명
Categorical

Distinct12
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
전문박물관
103 
미술관
49 
종합박물관
22 
전시관
12 
<NA>
11 
Other values (7)
30 

Length

Max length5
Median length5
Mean length4.1497797
Min length3

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row미술관
2nd row미술관
3rd row전시장
4th row전시장
5th row전문박물관

Common Values

ValueCountFrequency (%)
전문박물관 103
45.4%
미술관 49
21.6%
종합박물관 22
 
9.7%
전시관 12
 
5.3%
<NA> 11
 
4.8%
자료관 9
 
4.0%
기념관 6
 
2.6%
전시장 5
 
2.2%
유물관 5
 
2.2%
식물원 3
 
1.3%
Other values (2) 2
 
0.9%

Length

2023-12-11T06:37:23.269821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전문박물관 103
45.4%
미술관 49
21.6%
종합박물관 22
 
9.7%
전시관 12
 
5.3%
na 11
 
4.8%
자료관 9
 
4.0%
기념관 6
 
2.6%
전시장 5
 
2.2%
유물관 5
 
2.2%
식물원 3
 
1.3%
Other values (2) 2
 
0.9%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명설립운영주체구분명박물관미술관종류명박물관미술관유형명
0가평군가일미술관20150217<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 청평면 북한강로 1549-0, 1동 1층 (가일미술관)경기도 가평군 청평면 삼회리 609번지 6호 1동 1호1245837.660413127.379434<NA><NA><NA>미술관사립1종미술관
1가평군남송미술관20060220<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 북면 백둔로 322-0, 1동 1층 (남송미술관)경기도 가평군 북면 백둔리 198번지 9호 1동 1호1240637.904513127.472267<NA><NA><NA>미술관사립1종미술관
2가평군설미재 미술관20130708<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 설악면 유명로 1454-38경기도 가평군 설악면 신천리 721번지 15호1246737.660887127.482234<NA><NA><NA>미술관사립2종전시장
3가평군일지미술관20130730<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 하면 운악청계로 140경기도 가평군 하면 현리 49번지 3호1243537.832815127.34538<NA><NA><NA>미술관사립2종전시장
4고양시유진민속박물관2012-03-14<NA>13영업중<NA><NA><NA><NA>경기도 고양시 덕양구 고양대로1670번길 78-11 (원흥동)경기도 고양시 덕양구 원흥동 440-21055237.645862126.865789<NA>188088.006424460397.218222박물관사립1종전문박물관
5고양시포마자동차디자인미술관2016-06-28<NA>13영업중<NA><NA><NA><NA>경기도 고양시 덕양구 향뫼로 91 (향동동)경기도 고양시 덕양구 향동동 2391054637.591817126.896469<NA>190784.126189454390.894005미술관사립1종미술관
6고양시고양가와지볍씨박물관2019-04-29<NA>13영업중<NA><NA>766.18<NA>경기도 고양시 덕양구 고양대로 1695-0 (원흥동,고양시농업기술센터)경기도 고양시 덕양구 원흥동 471-101056337.649779126.870086<NA>188445.243038460802.626678박물관공립1종전문박물관
7고양시증권박물관2006-01-31<NA>13영업중<NA><NA>825.0<NA>경기도 고양시 일산동구 호수로 358-8 (백석동)경기도 고양시 일산동구 백석동 13281044937.638538126.786013<NA>181061.832964459613.608674박물관사립1종전문박물관
8고양시배다골민속박물관2011-03-16<NA>13영업중<NA><NA><NA><NA><NA>경기도 고양시 덕양구 화정동 7-71048237.630965126.847589<NA>186481.055993458754.691553박물관사립1종전문박물관
9고양시재단법인 중남미 문화원 병설 박물관1994-11-01<NA>13영업중<NA><NA>596.88<NA>경기도 고양시 덕양구 대양로285번길 33-15 (고양동,중남미문화원부설박물관)경기도 고양시 덕양구 고양동 11027337.704126.895357<NA><NA><NA>박물관사립1종종합박물관
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명설립운영주체구분명박물관미술관종류명박물관미술관유형명
217포천시아프리카예술박물관20080313<NA><NA>운영중<NA><NA><NA><NA>경기도 포천시 소흘읍 광릉수목원로 967경기도 포천시 소흘읍 무림리 42번지 0호1118737.775275127.139322<NA><NA><NA>박물관사립1종전문박물관
218포천시포천 역사문화관20170704<NA><NA>운영중<NA><NA><NA><NA>경기도 포천시 중앙로34번길 8 (신읍동)경기도 포천시 신읍동 397번지 2호1114937.890466127.198275<NA><NA><NA>박물관공립2종유물관
219하남시해공미술관20080801<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 하남시 광암동 211번지12989<NA><NA><NA><NA><NA>박물관사립1종전문박물관
220하남시하남역사박물관20040430<NA><NA>운영중<NA><NA><NA><NA>경기도 하남시 덕풍동로 30 (덕풍동)경기도 하남시 덕풍동 694번지 1호1293437.545457127.206079<NA><NA><NA>박물관공립1종전문박물관
221화성시소다미술관2019-10-31<NA>1영업<NA><NA><NA><NA>경기도 화성시 효행로707번길 30-0 (안녕동)경기도 화성시 안녕동 138번지 109호1836237.201626127.006068<NA>200462.604382411100.201554미술관사립1종미술관
222화성시소다미술관2019-10-31<NA>13영업중<NA><NA><NA><NA>경기도 화성시 효행로707번길 30-0 (안녕동)경기도 화성시 안녕동 138-1091836237.201626127.006068<NA>200462.604382411100.201554미술관사립1종미술관
223화성시엄미술관20150917<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 봉담읍 오궁길 37경기도 화성시 봉담읍 수기리 1번지 1호1832737.205532126.979379<NA><NA><NA>미술관사립1종미술관
224화성시수원대학교 박물관20070330<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 화성시 봉담읍 와우리 산 2번지 2호<NA>37.209088126.977918<NA><NA><NA>박물관대학1종종합박물관
225화성시용주사효행박물관20070216<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 용주로 136-0 (송산동,용주사)경기도 화성시 양감면 송산리 188번지1834737.211783127.005618<NA><NA><NA>박물관사립1종전문박물관
226화성시제암리 3.1운동 순국기념관20171201<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 향남읍 제암길 50-0, 101동 (제암리3.1운동순국기념관)경기도 화성시 향남읍 제암리 392번지 2호 101동1859537.126304126.891596<NA><NA><NA>박물관공립1종<NA>