Overview

Dataset statistics

Number of variables19
Number of observations438
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory66.9 KiB
Average record size in memory156.3 B

Variable types

Numeric3
Categorical10
Text6

Alerts

데이터기준 has constant value ""Constant
자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명 and 3 other fieldsHigh correlation
경도 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
시군명 is highly overall correlated with 순번 and 6 other fieldsHigh correlation
시설구분 is highly overall correlated with 시군명 and 2 other fieldsHigh correlation
제공사명 is highly overall correlated with 순번 and 4 other fieldsHigh correlation
와이파이 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
설치년월 is highly overall correlated with 순번 and 5 other fieldsHigh correlation
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 02:11:16.747474
Analysis finished2024-03-14 02:11:18.792841
Duration2.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct438
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.47945
Minimum1
Maximum440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-03-14T11:11:18.851295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.85
Q1111.25
median220.5
Q3329.75
95-th percentile418.15
Maximum440
Range439
Interquartile range (IQR)218.5

Descriptive statistics

Standard deviation127.09921
Coefficient of variation (CV)0.57646737
Kurtosis-1.1949436
Mean220.47945
Median Absolute Deviation (MAD)109.5
Skewness-0.00010548604
Sum96570
Variance16154.209
MonotonicityStrictly increasing
2024-03-14T11:11:18.974432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
291 1
 
0.2%
302 1
 
0.2%
301 1
 
0.2%
300 1
 
0.2%
299 1
 
0.2%
298 1
 
0.2%
297 1
 
0.2%
296 1
 
0.2%
295 1
 
0.2%
Other values (428) 428
97.7%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
440 1
0.2%
439 1
0.2%
438 1
0.2%
437 1
0.2%
436 1
0.2%
435 1
0.2%
434 1
0.2%
433 1
0.2%
432 1
0.2%
431 1
0.2%

시군명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
완주군
102 
남원시
65 
전주시
65 
순창군
40 
고창군
29 
Other values (8)
137 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
완주군 102
23.3%
남원시 65
14.8%
전주시 65
14.8%
순창군 40
 
9.1%
고창군 29
 
6.6%
무주군 28
 
6.4%
정읍시 26
 
5.9%
부안군 20
 
4.6%
진안군 18
 
4.1%
익산시 16
 
3.7%
Other values (3) 29
 
6.6%

Length

2024-03-14T11:11:19.069087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
완주군 102
23.3%
남원시 65
14.8%
전주시 65
14.8%
순창군 40
 
9.1%
고창군 29
 
6.6%
무주군 28
 
6.4%
정읍시 26
 
5.9%
부안군 20
 
4.6%
진안군 18
 
4.1%
익산시 16
 
3.7%
Other values (3) 29
 
6.6%
Distinct416
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-14T11:11:19.333673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length6.803653
Min length3

Characters and Unicode

Total characters2980
Distinct characters257
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique409 ?
Unique (%)93.4%

Sample

1st row익산시청소년수련관
2nd row익산시노인종합복지관
3rd row익산장
4th row중앙시장
5th row남부시장
ValueCountFrequency (%)
주민센터 16
 
3.1%
보건지소 15
 
2.9%
면사무소 14
 
2.7%
덕진구청 12
 
2.3%
대둔산관광호텔 7
 
1.4%
2 4
 
0.8%
송동 4
 
0.8%
주천 4
 
0.8%
운봉 4
 
0.8%
1 4
 
0.8%
Other values (402) 431
83.7%
2024-03-14T11:11:19.747721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
232
 
7.8%
119
 
4.0%
113
 
3.8%
102
 
3.4%
101
 
3.4%
97
 
3.3%
92
 
3.1%
78
 
2.6%
77
 
2.6%
76
 
2.6%
Other values (247) 1893
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2857
95.9%
Space Separator 77
 
2.6%
Decimal Number 36
 
1.2%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
232
 
8.1%
119
 
4.2%
113
 
4.0%
102
 
3.6%
101
 
3.5%
97
 
3.4%
92
 
3.2%
78
 
2.7%
76
 
2.7%
73
 
2.6%
Other values (240) 1774
62.1%
Decimal Number
ValueCountFrequency (%)
2 16
44.4%
1 16
44.4%
3 3
 
8.3%
4 1
 
2.8%
Space Separator
ValueCountFrequency (%)
77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2857
95.9%
Common 123
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
232
 
8.1%
119
 
4.2%
113
 
4.0%
102
 
3.6%
101
 
3.5%
97
 
3.4%
92
 
3.2%
78
 
2.7%
76
 
2.7%
73
 
2.6%
Other values (240) 1774
62.1%
Common
ValueCountFrequency (%)
77
62.6%
2 16
 
13.0%
1 16
 
13.0%
( 5
 
4.1%
) 5
 
4.1%
3 3
 
2.4%
4 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2857
95.9%
ASCII 123
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
232
 
8.1%
119
 
4.2%
113
 
4.0%
102
 
3.6%
101
 
3.5%
97
 
3.4%
92
 
3.2%
78
 
2.7%
76
 
2.7%
73
 
2.6%
Other values (240) 1774
62.1%
ASCII
ValueCountFrequency (%)
77
62.6%
2 16
 
13.0%
1 16
 
13.0%
( 5
 
4.1%
) 5
 
4.1%
3 3
 
2.4%
4 1
 
0.8%
Distinct208
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-14T11:11:20.032674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length5.8173516
Min length2

Characters and Unicode

Total characters2548
Distinct characters219
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

Unique177 ?
Unique (%)40.4%

Sample

1st row세미나실
2nd row중앙복도
3rd row완도상회앞
4th row회의실
5th row시장중심
ValueCountFrequency (%)
민원실 91
 
14.4%
사무실 28
 
4.4%
진료대기실 24
 
3.8%
보건지소내 21
 
3.3%
1층 19
 
3.0%
진료실 17
 
2.7%
민원실(실내 16
 
2.5%
로비 15
 
2.4%
보건지소 15
 
2.4%
면사무소 14
 
2.2%
Other values (231) 371
58.8%
2024-03-14T11:11:20.665488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
254
 
10.0%
193
 
7.6%
130
 
5.1%
119
 
4.7%
91
 
3.6%
85
 
3.3%
70
 
2.7%
64
 
2.5%
64
 
2.5%
61
 
2.4%
Other values (209) 1417
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2090
82.0%
Space Separator 193
 
7.6%
Decimal Number 115
 
4.5%
Uppercase Letter 50
 
2.0%
Other Punctuation 41
 
1.6%
Close Punctuation 28
 
1.1%
Open Punctuation 27
 
1.1%
Math Symbol 3
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
254
 
12.2%
130
 
6.2%
119
 
5.7%
91
 
4.4%
85
 
4.1%
70
 
3.3%
64
 
3.1%
64
 
3.1%
61
 
2.9%
58
 
2.8%
Other values (186) 1094
52.3%
Decimal Number
ValueCountFrequency (%)
1 52
45.2%
2 27
23.5%
3 20
 
17.4%
0 6
 
5.2%
4 5
 
4.3%
6 2
 
1.7%
9 1
 
0.9%
8 1
 
0.9%
7 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 36
72.0%
E 3
 
6.0%
T 3
 
6.0%
P 2
 
4.0%
S 2
 
4.0%
V 2
 
4.0%
A 1
 
2.0%
I 1
 
2.0%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2090
82.0%
Common 408
 
16.0%
Latin 50
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
254
 
12.2%
130
 
6.2%
119
 
5.7%
91
 
4.4%
85
 
4.1%
70
 
3.3%
64
 
3.1%
64
 
3.1%
61
 
2.9%
58
 
2.8%
Other values (186) 1094
52.3%
Common
ValueCountFrequency (%)
193
47.3%
1 52
 
12.7%
, 41
 
10.0%
) 28
 
6.9%
( 27
 
6.6%
2 27
 
6.6%
3 20
 
4.9%
0 6
 
1.5%
4 5
 
1.2%
~ 3
 
0.7%
Other values (5) 6
 
1.5%
Latin
ValueCountFrequency (%)
F 36
72.0%
E 3
 
6.0%
T 3
 
6.0%
P 2
 
4.0%
S 2
 
4.0%
V 2
 
4.0%
A 1
 
2.0%
I 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2090
82.0%
ASCII 458
 
18.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
254
 
12.2%
130
 
6.2%
119
 
5.7%
91
 
4.4%
85
 
4.1%
70
 
3.3%
64
 
3.1%
64
 
3.1%
61
 
2.9%
58
 
2.8%
Other values (186) 1094
52.3%
ASCII
ValueCountFrequency (%)
193
42.1%
1 52
 
11.4%
, 41
 
9.0%
F 36
 
7.9%
) 28
 
6.1%
( 27
 
5.9%
2 27
 
5.9%
3 20
 
4.4%
0 6
 
1.3%
4 5
 
1.1%
Other values (13) 23
 
5.0%

시설구분
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
관공서
172 
복지시설
64 
보건시설
40 
기타
26 
지역문화시설
23 
Other values (22)
113 

Length

Max length10
Median length8
Mean length3.8150685
Min length2

Unique

Unique6 ?
Unique (%)1.4%

Sample

1st row복지시설
2nd row복지시설
3rd row전통시장
4th row전통시장
5th row전통시장

Common Values

ValueCountFrequency (%)
관공서 172
39.3%
복지시설 64
 
14.6%
보건시설 40
 
9.1%
기타 26
 
5.9%
지역문화시설 23
 
5.3%
서민·복지시설 23
 
5.3%
교통시설 19
 
4.3%
전통시장 15
 
3.4%
보건지소 11
 
2.5%
공공시설 7
 
1.6%
Other values (17) 38
 
8.7%

Length

2024-03-14T11:11:20.785103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
관공서 172
39.0%
복지시설 67
 
15.2%
보건시설 40
 
9.1%
기타 26
 
5.9%
지역문화시설 23
 
5.2%
서민·복지시설 23
 
5.2%
교통시설 19
 
4.3%
전통시장 15
 
3.4%
보건지소 11
 
2.5%
공공시설 7
 
1.6%
Other values (17) 38
 
8.6%

제공사명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
KT
249 
SKT
69 
LGU+
67 
LG
28 
LG U+
 
18
Other values (2)
 
7

Length

Max length8
Median length2
Mean length2.6004566
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
KT 249
56.8%
SKT 69
 
15.8%
LGU+ 67
 
15.3%
LG 28
 
6.4%
LG U+ 18
 
4.1%
SK 6
 
1.4%
SK,KT,LG 1
 
0.2%

Length

2024-03-14T11:11:20.907273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:21.017517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kt 249
54.6%
skt 69
 
15.1%
lgu 67
 
14.7%
lg 46
 
10.1%
u 18
 
3.9%
sk 6
 
1.3%
sk,kt,lg 1
 
0.2%

와이파이
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Public WiFi Free
119 
-
85 
T브로
45 
Public Wifi FREE
29 
NESPOT
19 
Other values (41)
141 

Length

Max length30
Median length25
Mean length10.139269
Min length1

Unique

Unique26 ?
Unique (%)5.9%

Sample

1st rowPublic Wifi Free
2nd rowPublic Wifi Free
3rd rowPublic Wifi Free
4th rowPublic Wifi Free
5th rowPublic Wifi Free

Common Values

ValueCountFrequency (%)
Public WiFi Free 119
27.2%
- 85
19.4%
T브로 45
 
10.3%
Public Wifi FREE 29
 
6.6%
NESPOT 19
 
4.3%
Public Wifi Free 16
 
3.7%
Olleh wifi 16
 
3.7%
asiart jeonju 15
 
3.4%
Public WiFi FREE 13
 
3.0%
jeonju 13
 
3.0%
Other values (36) 68
15.5%

Length

2024-03-14T11:11:21.122209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
wifi 217
23.8%
free 197
21.6%
public 195
21.4%
89
9.7%
t브로 45
 
4.9%
jeonju 28
 
3.1%
asiart 27
 
3.0%
nespot 19
 
2.1%
olleh 16
 
1.8%
ip 10
 
1.1%
Other values (37) 70
 
7.7%

설치년월
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
-
65 
2009-06
46 
2014-11
42 
2013-11
33 
2015-10
33 
Other values (21)
219 

Length

Max length10
Median length7
Mean length6.2465753
Min length1

Unique

Unique6 ?
Unique (%)1.4%

Sample

1st row2014-07-01
2nd row2014-07-01
3rd row2014-07-01
4th row2014-07-01
5th row2014-07-01

Common Values

ValueCountFrequency (%)
- 65
14.8%
2009-06 46
10.5%
2014-11 42
9.6%
2013-11 33
 
7.5%
2015-10 33
 
7.5%
2014-10 31
 
7.1%
2014-12 29
 
6.6%
2013-10 24
 
5.5%
2010-08 20
 
4.6%
2014-07-01 16
 
3.7%
Other values (16) 99
22.6%

Length

2024-03-14T11:11:21.215847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
65
14.8%
2009-06 46
10.5%
2014-11 42
9.6%
2013-11 33
 
7.5%
2015-10 33
 
7.5%
2014-10 31
 
7.1%
2014-12 29
 
6.6%
2013-10 24
 
5.5%
2010-08 20
 
4.6%
2014-07-01 16
 
3.7%
Other values (16) 99
22.6%
Distinct392
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-14T11:11:21.436362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length15.269406
Min length1

Characters and Unicode

Total characters6688
Distinct characters231
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2