Overview

Dataset statistics

Number of variables6
Number of observations376
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.1 KiB
Average record size in memory49.4 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description광주광역시 북구에 있는 경로당에 대한 데이터로 행정동, 경로당명칭, 주소, 전화번호의 정보를 다음과 같이 제공합니다.
Author광주광역시 북구
URLhttps://www.data.go.kr/data/15038385/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:30:16.761283
Analysis finished2023-12-12 12:30:17.598045
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct376
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.5
Minimum1
Maximum376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:30:17.711384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.75
Q194.75
median188.5
Q3282.25
95-th percentile357.25
Maximum376
Range375
Interquartile range (IQR)187.5

Descriptive statistics

Standard deviation108.68609
Coefficient of variation (CV)0.57658404
Kurtosis-1.2
Mean188.5
Median Absolute Deviation (MAD)94
Skewness0
Sum70876
Variance11812.667
MonotonicityStrictly increasing
2023-12-12T21:30:17.910643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
249 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
256 1
 
0.3%
255 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
252 1
 
0.3%
251 1
 
0.3%
Other values (366) 366
97.3%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
376 1
0.3%
375 1
0.3%
374 1
0.3%
373 1
0.3%
372 1
0.3%
371 1
0.3%
370 1
0.3%
369 1
0.3%
368 1
0.3%
367 1
0.3%

행정동
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
용봉동
35 
양산동
33 
건국동
30 
일곡동
 
23
신안동
 
17
Other values (23)
238 

Length

Max length4
Median length3
Mean length3.3218085
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중흥1동
2nd row중흥1동
3rd row중흥1동
4th row중흥1동
5th row중흥2동

Common Values

ValueCountFrequency (%)
용봉동 35
 
9.3%
양산동 33
 
8.8%
건국동 30
 
8.0%
일곡동 23
 
6.1%
신안동 17
 
4.5%
매곡동 17
 
4.5%
석곡동 16
 
4.3%
문화동 14
 
3.7%
문흥1동 13
 
3.5%
두암2동 13
 
3.5%
Other values (18) 165
43.9%

Length

2023-12-12T21:30:18.165742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용봉동 35
 
9.3%
양산동 33
 
8.8%
건국동 30
 
8.0%
일곡동 23
 
6.1%
신안동 17
 
4.5%
매곡동 17
 
4.5%
석곡동 16
 
4.3%
문화동 14
 
3.7%
문흥1동 13
 
3.5%
두암2동 13
 
3.5%
Other values (18) 165
43.9%

경로당명
Text

Distinct354
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T21:30:18.460239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length6.8111702
Min length2

Characters and Unicode

Total characters2561
Distinct characters243
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique333 ?
Unique (%)88.6%

Sample

1st row천수경로당
2nd row중흥1동경로당
3rd row한마음경로당
4th row미리내경로당
5th row중흥2(남)경로당
ValueCountFrequency (%)
경로당 7
 
1.8%
공간apt경로당 3
 
0.8%
금호apt경로당 2
 
0.5%
호반경로당 2
 
0.5%
대우경로당 2
 
0.5%
송학경로당 2
 
0.5%
삼호경로당 2
 
0.5%
라인동산경로당 2
 
0.5%
학림경로당 2
 
0.5%
현대3차경로당 2
 
0.5%
Other values (345) 357
93.2%
2023-12-12T21:30:18.999314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 369
 
14.4%
경 366
 
14.3%
당 364
 
14.2%
차 52
 
2.0%
2 35
 
1.4%
대 34
 
1.3%
) 34
 
1.3%
( 34
 
1.3%
1 29
 
1.1%
A 29
 
1.1%
Other values (233) 1215
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2312
90.3%
Uppercase Letter 90
 
3.5%
Decimal Number 82
 
3.2%
Close Punctuation 34
 
1.3%
Open Punctuation 34
 
1.3%
Space Separator 7
 
0.3%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 369
 
16.0%
경 366
 
15.8%
당 364
 
15.7%
차 52
 
2.2%
대 34
 
1.5%
주 28
 
1.2%
산 27
 
1.2%
동 25
 
1.1%
아 25
 
1.1%
호 25
 
1.1%
Other values (215) 997
43.1%
Uppercase Letter
ValueCountFrequency (%)
A 29
32.2%
P 28
31.1%
T 27
30.0%
S 3
 
3.3%
I 1
 
1.1%
K 1
 
1.1%
R 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
2 35
42.7%
1 29
35.4%
3 14
 
17.1%
4 2
 
2.4%
6 1
 
1.2%
5 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
' 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2312
90.3%
Common 159
 
6.2%
Latin 90
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 369
 
16.0%
경 366
 
15.8%
당 364
 
15.7%
차 52
 
2.2%
대 34
 
1.5%
주 28
 
1.2%
산 27
 
1.2%
동 25
 
1.1%
아 25
 
1.1%
호 25
 
1.1%
Other values (215) 997
43.1%
Common
ValueCountFrequency (%)
2 35
22.0%
) 34
21.4%
( 34
21.4%
1 29
18.2%
3 14
 
8.8%
7
 
4.4%
4 2
 
1.3%
. 1
 
0.6%
6 1
 
0.6%
' 1
 
0.6%
Latin
ValueCountFrequency (%)
A 29
32.2%
P 28
31.1%
T 27
30.0%
S 3
 
3.3%
I 1
 
1.1%
K 1
 
1.1%
R 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2312
90.3%
ASCII 249
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 369
 
16.0%
경 366
 
15.8%
당 364
 
15.7%
차 52
 
2.2%
대 34
 
1.5%
주 28
 
1.2%
산 27
 
1.2%
동 25
 
1.1%
아 25
 
1.1%
호 25
 
1.1%
Other values (215) 997
43.1%
ASCII
ValueCountFrequency (%)
2 35
14.1%
) 34
13.7%
( 34
13.7%
1 29
11.6%
A 29
11.6%
P 28
11.2%
T 27
10.8%
3 14
 
5.6%
7
 
2.8%
S 3
 
1.2%
Other values (8) 9
 
3.6%

도로명주소
Text

Distinct363
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T21:30:19.391485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length30.632979
Min length17

Characters and Unicode

Total characters11518
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

Unique350 ?
Unique (%)93.1%

Sample

1st row광주광역시 북구 서암대로274번길 51-3 (중흥동)
2nd row광주광역시 북구 중흥로163번길 21 (중흥동)
3rd row광주광역시 북구 독립로367번길 42-1 (중흥동)
4th row광주광역시 북구 경열로234번길 19 (중흥동,미리내어린이공원 내)
5th row광주광역시 북구 용봉로126번길 37 (중흥동)
ValueCountFrequency (%)
광주광역시 376
 
16.8%
북구 376
 
16.8%
용봉동 41
 
1.8%
운암동 36
 
1.6%
문흥동 29
 
1.3%
두암동 26
 
1.2%
일곡동 24
 
1.1%
매곡동 24
 
1.1%
오치동 24
 
1.1%
양산동 23
 
1.0%
Other values (690) 1260
56.3%
2023-12-12T21:30:19.972644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1863
 
16.2%
광 762
 
6.6%
동 466
 
4.0%
주 417
 
3.6%
북 393
 
3.4%
구 383
 
3.3%
시 381
 
3.3%
역 376
 
3.3%
( 373
 
3.2%
) 373
 
3.2%
Other values (257) 5731
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7167
62.2%
Space Separator 1863
 
16.2%
Decimal Number 1400
 
12.2%
Open Punctuation 373
 
3.2%
Close Punctuation 373
 
3.2%
Other Punctuation 269
 
2.3%
Dash Punctuation 70
 
0.6%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 762
 
10.6%
동 466
 
6.5%
주 417
 
5.8%
북 393
 
5.5%
구 383
 
5.3%
시 381
 
5.3%
역 376
 
5.2%
로 339
 
4.7%
길 227
 
3.2%
번 180
 
2.5%
Other values (239) 3243
45.2%
Decimal Number
ValueCountFrequency (%)
1 318
22.7%
2 191
13.6%
3 163
11.6%
0 141
10.1%
4 131
9.4%
5 127
 
9.1%
6 94
 
6.7%
7 88
 
6.3%
8 74
 
5.3%
9 73
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
1863
100.0%
Open Punctuation
ValueCountFrequency (%)
( 373
100.0%
Close Punctuation
ValueCountFrequency (%)
) 373
100.0%
Other Punctuation
ValueCountFrequency (%)
, 269
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7167
62.2%
Common 4348
37.7%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 762
 
10.6%
동 466
 
6.5%
주 417
 
5.8%
북 393
 
5.5%
구 383
 
5.3%
시 381
 
5.3%
역 376
 
5.2%
로 339
 
4.7%
길 227
 
3.2%
번 180
 
2.5%
Other values (239) 3243
45.2%
Common
ValueCountFrequency (%)
1863
42.8%
( 373
 
8.6%
) 373
 
8.6%
1 318
 
7.3%
, 269
 
6.2%
2 191
 
4.4%
3 163
 
3.7%
0 141
 
3.2%
4 131
 
3.0%
5 127
 
2.9%
Other values (5) 399
 
9.2%
Latin
ValueCountFrequency (%)
T 1
33.3%
P 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7167
62.2%
ASCII 4351
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1863
42.8%
( 373
 
8.6%
) 373
 
8.6%
1 318
 
7.3%
, 269
 
6.2%
2 191
 
4.4%
3 163
 
3.7%
0 141
 
3.2%
4 131
 
3.0%
5 127
 
2.9%
Other values (8) 402
 
9.2%
Hangul
ValueCountFrequency (%)
광 762
 
10.6%
동 466
 
6.5%
주 417
 
5.8%
북 393
 
5.5%
구 383
 
5.3%
시 381
 
5.3%
역 376
 
5.2%
로 339
 
4.7%
길 227
 
3.2%
번 180
 
2.5%
Other values (239) 3243
45.2%

경로당전화
Text

Distinct326
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T21:30:20.349765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length11.635638
Min length9

Characters and Unicode

Total characters4375
Distinct characters21
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322 ?
Unique (%)85.6%

Sample

1st row062-524-0367
2nd row062-529-2159
3rd row062-528-2234
4th row062-526-8676
5th row062-512-8670
ValueCountFrequency (%)
미집계(등록예정 48
 
12.8%
062-525-0097 2
 
0.5%
062-571-8539 2
 
0.5%
062-572-4950 2
 
0.5%
062-575-8010 1
 
0.3%
062-574-8982 1
 
0.3%
062-575-0176 1
 
0.3%
062-573-8966 1
 
0.3%
062-573-2638 1
 
0.3%
062-574-1103 1
 
0.3%
Other values (316) 316
84.0%
2023-12-12T21:30:20.851655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 681
15.6%
- 657
15.0%
6 607
13.9%
0 504
11.5%
5 353
8.1%
1 259
 
5.9%
7 232
 
5.3%
4 194
 
4.4%
3 176
 
4.0%
8 146
 
3.3%
Other values (11) 566
12.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3285
75.1%
Dash Punctuation 657
 
15.0%
Other Letter 336
 
7.7%
Close Punctuation 48
 
1.1%
Open Punctuation 48
 
1.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 681
20.7%
6 607
18.5%
0 504
15.3%
5 353
10.7%
1 259
 
7.9%
7 232
 
7.1%
4 194
 
5.9%
3 176
 
5.4%
8 146
 
4.4%
9 133
 
4.0%
Other Letter
ValueCountFrequency (%)
미 48
14.3%
집 48
14.3%
정 48
14.3%
예 48
14.3%
록 48
14.3%
등 48
14.3%
계 48
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 657
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4039
92.3%
Hangul 336
 
7.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2 681
16.9%
- 657
16.3%
6 607
15.0%
0 504
12.5%
5 353
8.7%
1 259
 
6.4%
7 232
 
5.7%
4 194
 
4.8%
3 176
 
4.4%
8 146
 
3.6%
Other values (4) 230
 
5.7%
Hangul
ValueCountFrequency (%)
미 48
14.3%
집 48
14.3%
정 48
14.3%
예 48
14.3%
록 48
14.3%
등 48
14.3%
계 48
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4039
92.3%
Hangul 336
 
7.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 681
16.9%
- 657
16.3%
6 607
15.0%
0 504
12.5%
5 353
8.7%
1 259
 
6.4%
7 232
 
5.7%
4 194
 
4.8%
3 176
 
4.4%
8 146
 
3.6%
Other values (4) 230
 
5.7%
Hangul
ValueCountFrequency (%)
미 48
14.3%
집 48
14.3%
정 48
14.3%
예 48
14.3%
록 48
14.3%
등 48
14.3%
계 48
14.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2022-08-23
376 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-23
2nd row2022-08-23
3rd row2022-08-23
4th row2022-08-23
5th row2022-08-23

Common Values

ValueCountFrequency (%)
2022-08-23 376
100.0%

Length

2023-12-12T21:30:21.003493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:30:21.101252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-23 376
100.0%

Interactions

2023-12-12T21:30:17.211748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:30:21.162978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.988
행정동0.9881.000
2023-12-12T21:30:21.250011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.894
행정동0.8941.000

Missing values

2023-12-12T21:30:17.395731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:30:17.540488image/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

연번행정동경로당명도로명주소경로당전화데이터기준일자
01중흥1동천수경로당광주광역시 북구 서암대로274번길 51-3 (중흥동)062-524-03672022-08-23
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