Overview

Dataset statistics

Number of variables13
Number of observations1194
Missing cells839
Missing cells (%)5.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory126.1 KiB
Average record size in memory108.1 B

Variable types

Numeric4
Categorical3
Text4
Boolean2

Dataset

Description전라북도 어린이집 현황(시군별, 평가인증, 어린이집 유형 등)
Author전라북도
URLhttps://www.data.go.kr/data/3081400/fileData.do

Alerts

시도 has constant value ""Constant
정부지원 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
어린이집유형 is highly overall correlated with 정부지원High correlation
연번 is highly overall correlated with 시군구High correlation
정원 is highly overall correlated with 현원 and 2 other fieldsHigh correlation
현원 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
보육교직원현원 is highly overall correlated with 정원 and 1 other fieldsHigh correlation
시군구 is highly overall correlated with 연번High correlation
평가인증여부 is highly imbalanced (64.2%)Imbalance
연번 has 839 (70.3%) missing valuesMissing
현원 has 13 (1.1%) zerosZeros

Reproduction

Analysis started2023-12-12 15:00:42.867442
Analysis finished2023-12-12 15:00:46.453146
Duration3.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct355
Distinct (%)100.0%
Missing839
Missing (%)70.3%
Infinite0
Infinite (%)0.0%
Mean178
Minimum1
Maximum355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2023-12-13T00:00:46.611896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.7
Q189.5
median178
Q3266.5
95-th percentile337.3
Maximum355
Range354
Interquartile range (IQR)177

Descriptive statistics

Standard deviation102.62391
Coefficient of variation (CV)0.57653881
Kurtosis-1.2
Mean178
Median Absolute Deviation (MAD)89
Skewness0
Sum63190
Variance10531.667
MonotonicityStrictly increasing
2023-12-13T00:00:46.949565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
224 1
 
0.1%
244 1
 
0.1%
243 1
 
0.1%
242 1
 
0.1%
241 1
 
0.1%
240 1
 
0.1%
239 1
 
0.1%
238 1
 
0.1%
237 1
 
0.1%
236 1
 
0.1%
Other values (345) 345
28.9%
(Missing) 839
70.3%
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 (%)
355 1
0.1%
354 1
0.1%
353 1
0.1%
352 1
0.1%
351 1
0.1%
350 1
0.1%
349 1
0.1%
348 1
0.1%
347 1
0.1%
346 1
0.1%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
전라북도
1194 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라북도 1194
100.0%

Length

2023-12-13T00:00:47.196535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:00:47.372800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 1194
100.0%

시군구
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
전주시 덕진구
260 
전주시 완산구
245 
군산시
192 
익산시
189 
완주군
69 
Other values (10)
239 

Length

Max length7
Median length3
Mean length4.6917923
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전주시 완산구
2nd row전주시 완산구
3rd row전주시 완산구
4th row전주시 완산구
5th row전주시 완산구

Common Values

ValueCountFrequency (%)
전주시 덕진구 260
21.8%
전주시 완산구 245
20.5%
군산시 192
16.1%
익산시 189
15.8%
완주군 69
 
5.8%
정읍시 60
 
5.0%
남원시 56
 
4.7%
김제시 40
 
3.4%
고창군 22
 
1.8%
부안군 20
 
1.7%
Other values (5) 41
 
3.4%

Length

2023-12-13T00:00:47.598958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 505
29.7%
덕진구 260
15.3%
완산구 245
14.4%
군산시 192
 
11.3%
익산시 189
 
11.1%
완주군 69
 
4.1%
정읍시 60
 
3.5%
남원시 56
 
3.3%
김제시 40
 
2.4%
고창군 22
 
1.3%
Other values (6) 61
 
3.6%

행정동
Text

Distinct164
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-13T00:00:48.110588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.3994975
Min length2

Characters and Unicode

Total characters4059
Distinct characters131
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)4.4%

Sample

1st row노송동
2nd row노송동
3rd row노송동
4th row노송동
5th row동서학동
ValueCountFrequency (%)
송천1동 59
 
4.9%
수송동 54
 
4.5%
평화2동 52
 
4.4%
서신동 34
 
2.8%
봉동읍 30
 
2.5%
삼천3동 30
 
2.5%
모현동 29
 
2.4%
효자5동 28
 
2.3%
나운3동 28
 
2.3%
인후3동 26
 
2.2%
Other values (154) 824
69.0%
2023-12-13T00:00:48.761791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 1032
25.4%
2 166
 
4.1%
송 149
 
3.7%
1 137
 
3.4%
천 127
 
3.1%
면 114
 
2.8%
읍 101
 
2.5%
화 92
 
2.3%
3 92
 
2.3%
신 86
 
2.1%
Other values (121) 1963
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3616
89.1%
Decimal Number 443
 
10.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1032
28.5%
송 149
 
4.1%
천 127
 
3.5%
면 114
 
3.2%
읍 101
 
2.8%
화 92
 
2.5%
신 86
 
2.4%
삼 84
 
2.3%
성 78
 
2.2%
수 77
 
2.1%
Other values (116) 1676
46.3%
Decimal Number
ValueCountFrequency (%)
2 166
37.5%
1 137
30.9%
3 92
20.8%
5 28
 
6.3%
4 20
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3616
89.1%
Common 443
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1032
28.5%
송 149
 
4.1%
천 127
 
3.5%
면 114
 
3.2%
읍 101
 
2.8%
화 92
 
2.5%
신 86
 
2.4%
삼 84
 
2.3%
성 78
 
2.2%
수 77
 
2.1%
Other values (116) 1676
46.3%
Common
ValueCountFrequency (%)
2 166
37.5%
1 137
30.9%
3 92
20.8%
5 28
 
6.3%
4 20
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3616
89.1%
ASCII 443
 
10.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 1032
28.5%
송 149
 
4.1%
천 127
 
3.5%
면 114
 
3.2%
읍 101
 
2.8%
화 92
 
2.5%
신 86
 
2.4%
삼 84
 
2.3%
성 78
 
2.2%
수 77
 
2.1%
Other values (116) 1676
46.3%
ASCII
ValueCountFrequency (%)
2 166
37.5%
1 137
30.9%
3 92
20.8%
5 28
 
6.3%
4 20
 
4.5%

어린이집유형
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
가정
455 
민간
396 
사회복지법인
133 
국공립
95 
법인·단체등
83 
Other values (2)
 
32

Length

Max length6
Median length2
Mean length2.8031826
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row사회복지법인
2nd row민간
3rd row민간
4th row가정
5th row사회복지법인

Common Values

ValueCountFrequency (%)
가정 455
38.1%
민간 396
33.2%
사회복지법인 133
 
11.1%
국공립 95
 
8.0%
법인·단체등 83
 
7.0%
직장 31
 
2.6%
협동 1
 
0.1%

Length

2023-12-13T00:00:48.939904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:00:49.084066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정 455
38.1%
민간 396
33.2%
사회복지법인 133
 
11.1%
국공립 95
 
8.0%
법인·단체등 83
 
7.0%
직장 31
 
2.6%
협동 1
 
0.1%

어린이집명
Text

Distinct1029
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-13T00:00:49.346014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.5008375
Min length6

Characters and Unicode

Total characters8956
Distinct characters447
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

Unique918 ?
Unique (%)76.9%

Sample

1st row전주삼성어린이집
2nd row신나라어린이집
3rd row알프스어린이집
4th row해오름어린이집
5th row큰별어린이집
ValueCountFrequency (%)
어린이집 37
 
3.0%
솔로몬어린이집 5
 
0.4%
아이사랑어린이집 5
 
0.4%
해바라기어린이집 5
 
0.4%
새싹어린이집 5
 
0.4%
아기별어린이집 5
 
0.4%
꼬꼬마어린이집 4
 
0.3%
이화어린이집 4
 
0.3%
해맑은어린이집 4
 
0.3%
사랑어린이집 4
 
0.3%
Other values (1035) 1172
93.8%
2023-12-13T00:00:49.796378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1314
 
14.7%
린 1213
 
13.5%
어 1201
 
13.4%
집 1195
 
13.3%
아 143
 
1.6%
나 88
 
1.0%
사 83
 
0.9%
랑 78
 
0.9%
리 73
 
0.8%
마 66
 
0.7%
Other values (437) 3502
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8848
98.8%
Space Separator 56
 
0.6%
Uppercase Letter 32
 
0.4%
Lowercase Letter 7
 
0.1%
Decimal Number 7
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1314
 
14.9%
린 1213
 
13.7%
어 1201
 
13.6%
집 1195
 
13.5%
아 143
 
1.6%
나 88
 
1.0%
사 83
 
0.9%
랑 78
 
0.9%
리 73
 
0.8%
마 66
 
0.7%
Other values (410) 3394
38.4%
Uppercase Letter
ValueCountFrequency (%)
C 7
21.9%
A 4
12.5%
S 4
12.5%
W 2
 
6.2%
Y 2
 
6.2%
T 2
 
6.2%
K 2
 
6.2%
B 1
 
3.1%
E 1
 
3.1%
Q 1
 
3.1%
Other values (6) 6
18.8%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
4 2
28.6%
3 1
 
14.3%
1 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
57.1%
i 2
28.6%
h 1
 
14.3%
Space Separator
ValueCountFrequency (%)
56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8848
98.8%
Common 69
 
0.8%
Latin 39
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1314
 
14.9%
린 1213
 
13.7%
어 1201
 
13.6%
집 1195
 
13.5%
아 143
 
1.6%
나 88
 
1.0%
사 83
 
0.9%
랑 78
 
0.9%
리 73
 
0.8%
마 66
 
0.7%
Other values (410) 3394
38.4%
Latin
ValueCountFrequency (%)
C 7
17.9%
A 4
10.3%
e 4
10.3%
S 4
10.3%
W 2
 
5.1%
Y 2
 
5.1%
T 2
 
5.1%
i 2
 
5.1%
K 2
 
5.1%
B 1
 
2.6%
Other values (9) 9
23.1%
Common
ValueCountFrequency (%)
56
81.2%
2 3
 
4.3%
) 2
 
2.9%
( 2
 
2.9%
4 2
 
2.9%
- 2
 
2.9%
3 1
 
1.4%
1 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8848
98.8%
ASCII 108
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1314
 
14.9%
린 1213
 
13.7%
어 1201
 
13.6%
집 1195
 
13.5%
아 143
 
1.6%
나 88
 
1.0%
사 83
 
0.9%
랑 78
 
0.9%
리 73
 
0.8%
마 66
 
0.7%
Other values (410) 3394
38.4%
ASCII
ValueCountFrequency (%)
56
51.9%
C 7
 
6.5%
A 4
 
3.7%
e 4
 
3.7%
S 4
 
3.7%
2 3
 
2.8%
W 2
 
1.9%
Y 2
 
1.9%
T 2
 
1.9%
i 2
 
1.9%
Other values (17) 22
 
20.4%

정부지원
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
False
867 
True
327 
ValueCountFrequency (%)
False 867
72.6%
True 327
 
27.4%
2023-12-13T00:00:49.930356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

평가인증여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
True
1113 
False
 
81
ValueCountFrequency (%)
True 1113
93.2%
False 81
 
6.8%
2023-12-13T00:00:50.099125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct146
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.599665
Minimum10
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2023-12-13T00:00:50.242839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13
Q120
median38
Q372
95-th percentile121.05
Maximum300
Range290
Interquartile range (IQR)52

Descriptive statistics

Standard deviation39.764106
Coefficient of variation (CV)0.8017011
Kurtosis5.9053591
Mean49.599665
Median Absolute Deviation (MAD)19
Skewness1.951414
Sum59222
Variance1581.1841
MonotonicityNot monotonic
2023-12-13T00:00:50.384361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 175
 
14.7%
19 149
 
12.5%
99 61
 
5.1%
13 49
 
4.1%
39 41
 
3.4%
49 35
 
2.9%
18 23
 
1.9%
17 18
 
1.5%
60 17
 
1.4%
30 17
 
1.4%
Other values (136) 609
51.0%
ValueCountFrequency (%)
10 2
 
0.2%
11 6
 
0.5%
12 7
 
0.6%
13 49
 
4.1%
14 12
 
1.0%
15 7
 
0.6%
16 15
 
1.3%
17 18
 
1.5%
18 23
 
1.9%
19 149
12.5%
ValueCountFrequency (%)
300 1
0.1%
288 1
0.1%
272 1
0.1%
265 1
0.1%
250 1
0.1%
244 1
0.1%
240 1
0.1%
226 1
0.1%
214 1
0.1%
210 1
0.1%

현원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct131
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.535176
Minimum0
Maximum282
Zeros13
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2023-12-13T00:00:50.530573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q114
median22.5
Q345
95-th percentile92
Maximum282
Range282
Interquartile range (IQR)31

Descriptive statistics

Standard deviation31.196576
Coefficient of variation (CV)0.90332755
Kurtosis8.5060862
Mean34.535176
Median Absolute Deviation (MAD)11.5
Skewness2.2697528
Sum41235
Variance973.22634
MonotonicityNot monotonic
2023-12-13T00:00:50.673140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 59
 
4.9%
13 54
 
4.5%
18 51
 
4.3%
15 45
 
3.8%
12 42
 
3.5%
16 40
 
3.4%
11 38
 
3.2%
20 37
 
3.1%
14 32
 
2.7%
17 28
 
2.3%
Other values (121) 768
64.3%
ValueCountFrequency (%)
0 13
1.1%
1 1
 
0.1%
2 6
 
0.5%
3 8
 
0.7%
4 8
 
0.7%
5 12
1.0%
6 14
1.2%
7 20
1.7%
8 27
2.3%
9 21
1.8%
ValueCountFrequency (%)
282 1
0.1%
246 1
0.1%
235 1
0.1%
192 1
0.1%
190 1
0.1%
175 1
0.1%
165 1
0.1%
164 1
0.1%
163 1
0.1%
154 2
0.2%

보육교직원현원
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9262982
Minimum0
Maximum43
Zeros5
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2023-12-13T00:00:50.808740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median8
Q311.75
95-th percentile19
Maximum43
Range43
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation5.2392479
Coefficient of variation (CV)0.5869452
Kurtosis4.6086264
Mean8.9262982
Median Absolute Deviation (MAD)3
Skewness1.6198687
Sum10658
Variance27.449719
MonotonicityNot monotonic
2023-12-13T00:00:50.945060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
6 158
13.2%
5 147
12.3%
7 113
 
9.5%
8 100
 
8.4%
4 88
 
7.4%
9 86
 
7.2%
10 72
 
6.0%
12 49
 
4.1%
11 46
 
3.9%
14 46
 
3.9%
Other values (25) 289
24.2%
ValueCountFrequency (%)
0 5
 
0.4%
1 16
 
1.3%
2 19
 
1.6%
3 45
 
3.8%
4 88
7.4%
5 147
12.3%
6 158
13.2%
7 113
9.5%
8 100
8.4%
9 86
7.2%
ValueCountFrequency (%)
43 1
0.1%
40 1
0.1%
38 1
0.1%
34 1
0.1%
33 2
0.2%
32 1
0.1%
29 1
0.1%
27 2
0.2%
26 2
0.2%
25 2
0.2%

전화번호
Text

Distinct1193
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-13T00:00:51.212852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010888
Min length12

Characters and Unicode

Total characters14341
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1192 ?
Unique (%)99.8%

Sample

1st row063-287-2035
2nd row063-288-9564
3rd row063-231-4449
4th row063-288-6433
5th row063-287-4123
ValueCountFrequency (%)
063-625-0151 2
 
0.2%
063-835-2446 1
 
0.1%
063-834-1238 1
 
0.1%
063-835-8387 1
 
0.1%
063-831-9552 1
 
0.1%
063-859-2280 1
 
0.1%
063-841-2229 1
 
0.1%
063-837-3354 1
 
0.1%
063-831-7965 1
 
0.1%
063-841-8211 1
 
0.1%
Other values (1183) 1183
99.1%
2023-12-13T00:00:51.632943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2388
16.7%
3 2081
14.5%
6 1976
13.8%
0 1890
13.2%
2 1377
9.6%
5 969
6.8%
4 891
 
6.2%
7 757
 
5.3%
8 749
 
5.2%
1 744
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11953
83.3%
Dash Punctuation 2388
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2081
17.4%
6 1976
16.5%
0 1890
15.8%
2 1377
11.5%
5 969
8.1%
4 891
7.5%
7 757
 
6.3%
8 749
 
6.3%
1 744
 
6.2%
9 519
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 2388
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14341
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2388
16.7%
3 2081
14.5%
6 1976
13.8%
0 1890
13.2%
2 1377
9.6%
5 969
6.8%
4 891
 
6.2%
7 757
 
5.3%
8 749
 
5.2%
1 744
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14341
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2388
16.7%
3 2081
14.5%
6 1976
13.8%
0 1890
13.2%
2 1377
9.6%
5 969
6.8%
4 891
 
6.2%
7 757
 
5.3%
8 749
 
5.2%
1 744
 
5.2%

주소
Text

Distinct1192
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-13T00:00:51.993670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length32.638191
Min length14

Characters and Unicode

Total characters38970
Distinct characters413
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1190 ?
Unique (%)99.7%

Sample

1st row전라북도 전주시 완산구 권삼득로 20 (중노송동)
2nd row전라북도 전주시 완산구 견훤왕궁1길 10 관리동(중노송동 서해그랑블)
3rd row전라북도 전주시 완산구 견훤로 100-14 상가동 1층(중노송동 기린봉아파트)
4th row전라북도 전주시 완산구 인봉남로 56 101동 104호(중노송동 우성해오름아파트)
5th row전라북도 전주시 완산구 내원당길 70-15 (대성동)
ValueCountFrequency (%)
전라북도 1195
 
15.5%
전주시 506
 
6.6%
덕진구 261
 
3.4%
완산구 245
 
3.2%
군산시 192
 
2.5%
익산시 190
 
2.5%
관리동 84
 
1.1%
완주군 69
 
0.9%
101동 63
 
0.8%
정읍시 61
 
0.8%
Other values (2211) 4830
62.8%
2023-12-13T00:00:52.519275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6946
 
17.8%
1 2089
 
5.4%
전 1741
 
4.5%
동 1600
 
4.1%
북 1231
 
3.2%
도 1224
 
3.1%
라 1215
 
3.1%
시 1118
 
2.9%
0 1077
 
2.8%
2 1001
 
2.6%
Other values (403) 19728
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23374
60.0%
Space Separator 6946
 
17.8%
Decimal Number 6802
 
17.5%
Open Punctuation 746
 
1.9%
Close Punctuation 745
 
1.9%
Dash Punctuation 309
 
0.8%
Uppercase Letter 29
 
0.1%
Lowercase Letter 12
 
< 0.1%
Other Punctuation 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1741
 
7.4%
동 1600
 
6.8%
북 1231
 
5.3%
도 1224
 
5.2%
라 1215
 
5.2%
시 1118
 
4.8%
산 889
 
3.8%
로 733
 
3.1%
주 677
 
2.9%
길 585
 
2.5%
Other values (367) 12361
52.9%
Uppercase Letter
ValueCountFrequency (%)
A 5
17.2%
C 4
13.8%
S 3
10.3%
K 3
10.3%
L 3
10.3%
H 3
10.3%
I 2
 
6.9%
O 1
 
3.4%
T 1
 
3.4%
V 1
 
3.4%
Other values (3) 3
10.3%
Decimal Number
ValueCountFrequency (%)
1 2089
30.7%
0 1077
15.8%
2 1001
14.7%
3 662
 
9.7%
4 454
 
6.7%
5 422
 
6.2%
6 336
 
4.9%
7 281
 
4.1%
9 245
 
3.6%
8 235
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
e 8
66.7%
c 2
 
16.7%
h 1
 
8.3%
k 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
/ 3
60.0%
@ 1
 
20.0%
. 1
 
20.0%
Space Separator
ValueCountFrequency (%)
6946
100.0%
Open Punctuation
ValueCountFrequency (%)
( 746
100.0%
Close Punctuation
ValueCountFrequency (%)
) 745
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 309
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23374
60.0%
Common 15554
39.9%
Latin 42
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1741
 
7.4%
동 1600
 
6.8%
북 1231
 
5.3%
도 1224
 
5.2%
라 1215
 
5.2%
시 1118
 
4.8%
산 889
 
3.8%
로 733
 
3.1%
주 677
 
2.9%
길 585
 
2.5%
Other values (367) 12361
52.9%
Common
ValueCountFrequency (%)
6946
44.7%
1 2089
 
13.4%
0 1077
 
6.9%
2 1001
 
6.4%
( 746
 
4.8%
) 745
 
4.8%
3 662
 
4.3%
4 454
 
2.9%
5 422
 
2.7%
6 336
 
2.2%
Other values (8) 1076
 
6.9%
Latin
ValueCountFrequency (%)
e 8
19.0%
A 5
11.9%
C 4
9.5%
S 3
 
7.1%
K 3
 
7.1%
L 3
 
7.1%
H 3
 
7.1%
c 2
 
4.8%
I 2
 
4.8%
O 1
 
2.4%
Other values (8) 8
19.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23374
60.0%
ASCII 15595
40.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6946
44.5%
1 2089
 
13.4%
0 1077
 
6.9%
2 1001
 
6.4%
( 746
 
4.8%
) 745
 
4.8%
3 662
 
4.2%
4 454
 
2.9%
5 422
 
2.7%
6 336
 
2.2%
Other values (25) 1117
 
7.2%
Hangul
ValueCountFrequency (%)
전 1741
 
7.4%
동 1600
 
6.8%
북 1231
 
5.3%
도 1224
 
5.2%
라 1215
 
5.2%
시 1118
 
4.8%
산 889
 
3.8%
로 733
 
3.1%
주 677
 
2.9%
길 585
 
2.5%
Other values (367) 12361
52.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

Interactions

2023-12-13T00:00:45.482316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:43.907060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:44.352920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:45.090077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:45.580314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:44.011086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:44.796640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:45.201965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:45.675811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:44.126703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:44.899108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:45.294835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:45.785585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:44.239331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:44.987694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:00:45.389374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:00:52.644798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구어린이집유형정부지원평가인증여부정원현원보육교직원현원
연번1.0001.0000.3730.2110.0000.3620.1620.208
시군구1.0001.0000.3600.3650.0260.1000.0000.000
어린이집유형0.3730.3601.0000.8910.1420.5720.4880.504
정부지원0.2110.3650.8911.0000.0000.6640.3810.511
평가인증여부0.0000.0260.1420.0001.0000.0980.0860.251
정원0.3620.1000.5720.6640.0981.0000.8720.912
현원0.1620.0000.4880.3810.0860.8721.0000.839
보육교직원현원0.2080.0000.5040.5110.2510.9120.8391.000
2023-12-13T00:00:52.789341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가인증여부정부지원시군구어린이집유형
평가인증여부1.0000.0000.0230.152
정부지원0.0001.0000.3310.957
시군구0.0230.3311.0000.171
어린이집유형0.1520.9570.1711.000
2023-12-13T00:00:52.895898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원현원보육교직원현원시군구어린이집유형정부지원평가인증여부
연번1.000-0.0030.0510.0380.9700.2050.1600.000
정원-0.0031.0000.8470.7810.0140.3180.5210.074
현원0.0510.8471.0000.9260.0000.2830.3800.085
보육교직원현원0.0380.7810.9261.0000.0000.2840.3920.192
시군구0.9700.0140.0000.0001.0000.1710.3310.023
어린이집유형0.2050.3180.2830.2840.1711.0000.9570.152
정부지원0.1600.5210.3800.3920.3310.9571.0000.000
평가인증여부0.0000.0740.0850.1920.0230.1520.0001.000

Missing values

2023-12-13T00:00:45.928696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:00:46.277576image/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

연번시도시군구행정동어린이집유형어린이집명정부지원평가인증여부정원현원보육교직원현원전화번호주소
01전라북도전주시 완산구노송동사회복지법인전주삼성어린이집YY12310422063-287-2035전라북도 전주시 완산구 권삼득로 20 (중노송동)
12전라북도전주시 완산구노송동민간신나라어린이집NY40227063-288-9564전라북도 전주시 완산구 견훤왕궁1길 10 관리동(중노송동 서해그랑블)
23전라북도전주시 완산구노송동민간알프스어린이집NY28197063-231-4449전라북도 전주시 완산구 견훤로 100-14 상가동 1층(중노송동 기린봉아파트)
34전라북도전주시 완산구노송동가정해오름어린이집NY20125063-288-6433전라북도 전주시 완산구 인봉남로 56 101동 104호(중노송동 우성해오름아파트)
45전라북도전주시 완산구동서학동사회복지법인큰별어린이집YY845013063-287-4123전라북도 전주시 완산구 내원당길 70-15 (대성동)
56전라북도전주시 완산구동서학동민간성산어린이집NY33195063-284-3444전라북도 전주시 완산구 천경로 7 전주성산교회1층(동서학동)
67전라북도전주시 완산구삼천1동민간예찬어린이집NY994411063-224-3156전라북도 전주시 완산구 삼천동1가 안행2길 33-3 (삼천동1가)
78전라북도전주시 완산구삼천1동민간이안키즈어린이집NY41259063-224-2123전라북도 전주시 완산구 삼천동1가 용리로 165 이안전주삼천아파트내 관리동
89전라북도전주시 완산구삼천1동민간집현전어린이집NY69358063-226-3967전라북도 전주시 완산구 안행5길 5-7 (삼천동1가)
910전라북도전주시 완산구삼천1동민간해맑은어린이집NY99398063-236-5558전라북도 전주시 완산구 안행8길 30 (삼천동1가)
연번시도시군구행정동어린이집유형어린이집명정부지원평가인증여부정원현원보육교직원현원전화번호주소
1184<NA>전라북도부안군부안읍민간이든어린이집NY34266063-582-2382전라북도 부안군 부안읍 수내길 16-27 이든어린이집
1185<NA>전라북도부안군부안읍민간피터팬어린이집NY39266063-583-7976전라북도 부안군 부안읍 석정로 262
1186<NA>전라북도부안군부안읍민간하늘숲어린이집NY87689063-581-5599전라북도 부안군 부안읍 선은2길 2-1 하늘숲어린이집
1187<NA>전라북도부안군부안읍가정아기별어린이집NY20187063-584-0579전라북도 부안군 부안읍 부풍로 26
1188<NA>전라북도부안군부안읍가정하얀어린이집NY20156063-582-2777전라북도 부안군 부안읍 오리정로 172 하이안아파트 101동 109호
1189<NA>전라북도부안군줄포면민간다사랑어린이집NY3684063-583-1005전라북도 부안군 줄포면 교하길 18 전북 부안군 줄포면 교하길 18
1190<NA>전라북도부안군진서면가정대성어린이집NY2082063-583-8432전라북도 부안군 진서면 곰소1길 6-20
1191<NA>전라북도부안군하서면민간부안여성농업인센터 알곡어린이집NY30155063-581-1191전라북도 부안군 하서면 석하길 29
1192<NA>전라북도부안군행안면민간알파벳어린이집NY858011063-583-9240전라북도 부안군 행안면 아제순제길 93 알파벳 어린이집
1193<NA>전라북도부안군행안면직장참프레어린이집NN3164063-580-6456전라북도 부안군 행안면 옥여길 32-29 참프레어린이집