Overview

Dataset statistics

Number of variables11
Number of observations58
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory93.3 B

Variable types

Numeric3
Categorical3
Text4
DateTime1

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
설립별 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
유형 is highly imbalanced (72.8%)Imbalance
연번 has unique valuesUnique
시설명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:53:14.549818
Analysis finished2024-01-09 20:53:15.980467
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.5
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-01-10T05:53:16.058623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.85
Q115.25
median29.5
Q343.75
95-th percentile55.15
Maximum58
Range57
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation16.886879
Coefficient of variation (CV)0.57243656
Kurtosis-1.2
Mean29.5
Median Absolute Deviation (MAD)14.5
Skewness0
Sum1711
Variance285.16667
MonotonicityStrictly increasing
2024-01-10T05:53:16.202756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
45 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%
49 1
1.7%

구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
초등학교
32 
중학교
14 
고등학교
8 
대학교
 
2
특수학교
 
1

Length

Max length4
Median length4
Mean length3.7241379
Min length3

Unique

Unique2 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 32
55.2%
중학교 14
24.1%
고등학교 8
 
13.8%
대학교 2
 
3.4%
특수학교 1
 
1.7%
전문대학 1
 
1.7%

Length

2024-01-10T05:53:16.339773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:53:16.464456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 32
55.2%
중학교 14
24.1%
고등학교 8
 
13.8%
대학교 2
 
3.4%
특수학교 1
 
1.7%
전문대학 1
 
1.7%

설립별
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
공립
46 
사립
12 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 46
79.3%
사립 12
 
20.7%

Length

2024-01-10T05:53:16.573569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:53:16.650851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 46
79.3%
사립 12
 
20.7%

유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
공학
54 
남
 
2
여
 
2

Length

Max length2
Median length2
Mean length1.9310345
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공학 54
93.1%
남 2
 
3.4%
여 2
 
3.4%

Length

2024-01-10T05:53:16.741099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:53:16.825014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공학 54
93.1%
남 2
 
3.4%
여 2
 
3.4%

시설명
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-01-10T05:53:17.017120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length6.0172414
Min length5

Characters and Unicode

Total characters349
Distinct characters63
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

Unique58 ?
Unique (%)100.0%

Sample

1st row당진초등학교
2nd row성당초등학교
3rd row계성초등학교
4th row탑동초등학교
5th row원당초등학교
ValueCountFrequency (%)
당진초등학교 1
 
1.7%
서야중학교 1
 
1.7%
세한대학교 1
 
1.7%
유곡초등학교 1
 
1.7%
당진중학교 1
 
1.7%
당진중학교대호지분교장 1
 
1.7%
원당중학교 1
 
1.7%
합덕중학교 1
 
1.7%
합덕여자중학교 1
 
1.7%
면천중학교 1
 
1.7%
Other values (48) 48
82.8%
2024-01-10T05:53:17.360831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 60
17.2%
학 58
16.6%
등 40
 
11.5%
초 33
 
9.5%
중 14
 
4.0%
고 11
 
3.2%
당 10
 
2.9%
대 8
 
2.3%
서 6
 
1.7%
진 6
 
1.7%
Other values (53) 103
29.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 60
17.2%
학 58
16.6%
등 40
 
11.5%
초 33
 
9.5%
중 14
 
4.0%
고 11
 
3.2%
당 10
 
2.9%
대 8
 
2.3%
서 6
 
1.7%
진 6
 
1.7%
Other values (53) 103
29.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 349
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 60
17.2%
학 58
16.6%
등 40
 
11.5%
초 33
 
9.5%
중 14
 
4.0%
고 11
 
3.2%
당 10
 
2.9%
대 8
 
2.3%
서 6
 
1.7%
진 6
 
1.7%
Other values (53) 103
29.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 349
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 60
17.2%
학 58
16.6%
등 40
 
11.5%
초 33
 
9.5%
중 14
 
4.0%
고 11
 
3.2%
당 10
 
2.9%
대 8
 
2.3%
서 6
 
1.7%
진 6
 
1.7%
Other values (53) 103
29.5%

도로명주소
Text

Distinct55
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-01-10T05:53:17.610106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length20.189655
Min length15

Characters and Unicode

Total characters1171
Distinct characters85
Distinct categories7 ?
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 (%)89.7%

Sample

1st row충청남도 당진시 교동길 106
2nd row충청남도 당진시 역천로 222
3rd row충청남도 당진시 당진중앙1로 290
4th row충청남도 당진시 대호만로 12
5th row충청남도 당진시 밤절로 31
ValueCountFrequency (%)
충청남도 58
21.0%
당진시 58
21.0%
합덕읍 10
 
3.6%
송악읍 6
 
2.2%
신평면 6
 
2.2%
석문면 6
 
2.2%
면천로 6
 
2.2%
송악로 4
 
1.4%
송산면 4
 
1.4%
밤절로 4
 
1.4%
Other values (95) 114
41.3%
2024-01-10T05:53:17.968646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
218
18.6%
당 60
 
5.1%
도 59
 
5.0%
진 59
 
5.0%
시 59
 
5.0%
충 58
 
5.0%
남 58
 
5.0%
청 58
 
5.0%
1 45
 
3.8%
로 44
 
3.8%
Other values (75) 453
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 743
63.5%
Space Separator 218
 
18.6%
Decimal Number 190
 
16.2%
Dash Punctuation 16
 
1.4%
Other Punctuation 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 60
 
8.1%
도 59
 
7.9%
진 59
 
7.9%
시 59
 
7.9%
충 58
 
7.8%
남 58
 
7.8%
청 58
 
7.8%
로 44
 
5.9%
면 40
 
5.4%
읍 16
 
2.2%
Other values (60) 232
31.2%
Decimal Number
ValueCountFrequency (%)
1 45
23.7%
3 27
14.2%
2 25
13.2%
5 21
11.1%
6 15
 
7.9%
0 15
 
7.9%
4 13
 
6.8%
8 13
 
6.8%
7 12
 
6.3%
9 4
 
2.1%
Space Separator
ValueCountFrequency (%)
218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 743
63.5%
Common 428
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 60
 
8.1%
도 59
 
7.9%
진 59
 
7.9%
시 59
 
7.9%
충 58
 
7.8%
남 58
 
7.8%
청 58
 
7.8%
로 44
 
5.9%
면 40
 
5.4%
읍 16
 
2.2%
Other values (60) 232
31.2%
Common
ValueCountFrequency (%)
218
50.9%
1 45
 
10.5%
3 27
 
6.3%
2 25
 
5.8%
5 21
 
4.9%
- 16
 
3.7%
6 15
 
3.5%
0 15
 
3.5%
4 13
 
3.0%
8 13
 
3.0%
Other values (5) 20
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 743
63.5%
ASCII 428
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
218
50.9%
1 45
 
10.5%
3 27
 
6.3%
2 25
 
5.8%
5 21
 
4.9%
- 16
 
3.7%
6 15
 
3.5%
0 15
 
3.5%
4 13
 
3.0%
8 13
 
3.0%
Other values (5) 20
 
4.7%
Hangul
ValueCountFrequency (%)
당 60
 
8.1%
도 59
 
7.9%
진 59
 
7.9%
시 59
 
7.9%
충 58
 
7.8%
남 58
 
7.8%
청 58
 
7.8%
로 44
 
5.9%
면 40
 
5.4%
읍 16
 
2.2%
Other values (60) 232
31.2%

지번주소
Text

Distinct55
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-01-10T05:53:18.217142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length20.362069
Min length15

Characters and Unicode

Total characters1181
Distinct characters77
Distinct categories4 ?
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 (%)89.7%

Sample

1st row충청남도 당진시 읍내동 211
2nd row충청남도 당진시 사기소동 644-5
3rd row충청남도 당진시 읍내동 13
4th row충청남도 당진시 채운동 488-1
5th row충청남도 당진시 원당동 1171
ValueCountFrequency (%)
충청남도 58
20.9%
당진시 58
20.9%
합덕읍 10
 
3.6%
신평면 6
 
2.2%
송악읍 6
 
2.2%
석문면 6
 
2.2%
소소리 4
 
1.4%
송산면 4
 
1.4%
채운동 4
 
1.4%
읍내동 3
 
1.1%
Other values (95) 119
42.8%
2024-01-10T05:53:18.585962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
18.7%
당 62
 
5.2%
도 61
 
5.2%
남 59
 
5.0%
진 59
 
5.0%
시 59
 
5.0%
충 58
 
4.9%
청 58
 
4.9%
1 48
 
4.1%
리 46
 
3.9%
Other values (67) 450
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 723
61.2%
Space Separator 221
 
18.7%
Decimal Number 202
 
17.1%
Dash Punctuation 35
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 62
 
8.6%
도 61
 
8.4%
남 59
 
8.2%
진 59
 
8.2%
시 59
 
8.2%
충 58
 
8.0%
청 58
 
8.0%
리 46
 
6.4%
면 32
 
4.4%
읍 19
 
2.6%
Other values (55) 210
29.0%
Decimal Number
ValueCountFrequency (%)
1 48
23.8%
2 28
13.9%
5 26
12.9%
3 20
9.9%
9 18
 
8.9%
8 15
 
7.4%
7 13
 
6.4%
4 12
 
5.9%
6 11
 
5.4%
0 11
 
5.4%
Space Separator
ValueCountFrequency (%)
221
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 723
61.2%
Common 458
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 62
 
8.6%
도 61
 
8.4%
남 59
 
8.2%
진 59
 
8.2%
시 59
 
8.2%
충 58
 
8.0%
청 58
 
8.0%
리 46
 
6.4%
면 32
 
4.4%
읍 19
 
2.6%
Other values (55) 210
29.0%
Common
ValueCountFrequency (%)
221
48.3%
1 48
 
10.5%
- 35
 
7.6%
2 28
 
6.1%
5 26
 
5.7%
3 20
 
4.4%
9 18
 
3.9%
8 15
 
3.3%
7 13
 
2.8%
4 12
 
2.6%
Other values (2) 22
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 723
61.2%
ASCII 458
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
221
48.3%
1 48
 
10.5%
- 35
 
7.6%
2 28
 
6.1%
5 26
 
5.7%
3 20
 
4.4%
9 18
 
3.9%
8 15
 
3.3%
7 13
 
2.8%
4 12
 
2.6%
Other values (2) 22
 
4.8%
Hangul
ValueCountFrequency (%)
당 62
 
8.6%
도 61
 
8.4%
남 59
 
8.2%
진 59
 
8.2%
시 59
 
8.2%
충 58
 
8.0%
청 58
 
8.0%
리 46
 
6.4%
면 32
 
4.4%
읍 19
 
2.6%
Other values (55) 210
29.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct55
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.889739
Minimum36.763008
Maximum37.048543
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-01-10T05:53:18.706944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.763008
5-th percentile36.802373
Q136.844551
median36.89239
Q336.928082
95-th percentile37.004434
Maximum37.048543
Range0.28553529
Interquartile range (IQR)0.08353049

Descriptive statistics

Standard deviation0.062405221
Coefficient of variation (CV)0.0016916688
Kurtosis-0.13861922
Mean36.889739
Median Absolute Deviation (MAD)0.04226684
Skewness0.30704859
Sum2139.6049
Variance0.0038944117
MonotonicityNot monotonic
2024-01-10T05:53:18.825900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.8133825 2
 
3.4%
36.81339746 2
 
3.4%
36.91658244 2
 
3.4%
36.89181359 1
 
1.7%
36.899987 1
 
1.7%
36.93625546 1
 
1.7%
36.96039897 1
 
1.7%
36.89270808 1
 
1.7%
36.89952977 1
 
1.7%
36.90004426 1
 
1.7%
Other values (45) 45
77.6%
ValueCountFrequency (%)
36.76300799 1
1.7%
36.79091841 1
1.7%
36.79274595 1
1.7%
36.80407168 1
1.7%
36.81044064 1
1.7%
36.81215222 1
1.7%
36.8133825 2
3.4%
36.81339746 2
3.4%
36.81789195 1
1.7%
36.81914558 1
1.7%
ValueCountFrequency (%)
37.04854328 1
1.7%
37.01333046 1
1.7%
37.01183069 1
1.7%
37.00312848 1
1.7%
36.9930801 1
1.7%
36.98699237 1
1.7%
36.96039897 1
1.7%
36.95857344 1
1.7%
36.95731451 1
1.7%
36.9406386 1
1.7%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct55
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.67126
Minimum126.43338
Maximum126.80527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-01-10T05:53:18.949694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.43338
5-th percentile126.51028
Q1126.60917
median126.67108
Q3126.7603
95-th percentile126.78749
Maximum126.80527
Range0.3718945
Interquartile range (IQR)0.1511304

Descriptive statistics

Standard deviation0.090835447
Coefficient of variation (CV)0.00071709595
Kurtosis-0.62561139
Mean126.67126
Median Absolute Deviation (MAD)0.0825831
Skewness-0.44340325
Sum7346.933
Variance0.0082510784
MonotonicityNot monotonic
2024-01-10T05:53:19.071123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7624107 2
 
3.4%
126.7602994 2
 
3.4%
126.7047622 2
 
3.4%
126.6334616 1
 
1.7%
126.6373826 1
 
1.7%
126.6500418 1
 
1.7%
126.6948977 1
 
1.7%
126.6213256 1
 
1.7%
126.5092123 1
 
1.7%
126.6407478 1
 
1.7%
Other values (45) 45
77.6%
ValueCountFrequency (%)
126.4333797 1
1.7%
126.5000496 1
1.7%
126.5092123 1
1.7%
126.5104722 1
1.7%
126.5327815 1
1.7%
126.539239 1
1.7%
126.5541835 1
1.7%
126.5727152 1
1.7%
126.5730354 1
1.7%
126.5840513 1
1.7%
ValueCountFrequency (%)
126.8052742 1
1.7%
126.7888095 1
1.7%
126.7877866 1
1.7%
126.7874361 1
1.7%
126.780659 1
1.7%
126.7786054 1
1.7%
126.7721767 1
1.7%
126.7697651 1
1.7%
126.7653217 1
1.7%
126.7643736 1
1.7%

전화번호
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-01-10T05:53:19.288325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters696
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

Unique58 ?
Unique (%)100.0%

Sample

1st row041-352-3753
2nd row041-356-5155
3rd row041-352-4031
4th row041-354-1252
5th row041-358-5602
ValueCountFrequency (%)
041-352-3753 1
 
1.7%
041-363-0713 1
 
1.7%
041-359-6114 1
 
1.7%
041-353-7078 1
 
1.7%
041-430-2002 1
 
1.7%
041-352-2556 1
 
1.7%
041-358-2363 1
 
1.7%
041-362-2791 1
 
1.7%
041-362-8764 1
 
1.7%
041-356-3086 1
 
1.7%
Other values (48) 48
82.8%
2024-01-10T05:53:19.609507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 116
16.7%
0 113
16.2%
3 98
14.1%
1 91
13.1%
4 77
11.1%
5 56
8.0%
2 51
7.3%
6 38
 
5.5%
7 23
 
3.3%
8 20
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 580
83.3%
Dash Punctuation 116
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 113
19.5%
3 98
16.9%
1 91
15.7%
4 77
13.3%
5 56
9.7%
2 51
8.8%
6 38
 
6.6%
7 23
 
4.0%
8 20
 
3.4%
9 13
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 696
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 116
16.7%
0 113
16.2%
3 98
14.1%
1 91
13.1%
4 77
11.1%
5 56
8.0%
2 51
7.3%
6 38
 
5.5%
7 23
 
3.3%
8 20
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 696
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 116
16.7%
0 113
16.2%
3 98
14.1%
1 91
13.1%
4 77
11.1%
5 56
8.0%
2 51
7.3%
6 38
 
5.5%
7 23
 
3.3%
8 20
 
2.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2022-03-04 00:00:00
Maximum2022-03-04 00:00:00
2024-01-10T05:53:19.953752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:53:20.024942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T05:53:15.511881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:53:15.075774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:53:15.287262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:53:15.592926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:53:15.141980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:53:15.359836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:53:15.673745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:53:15.212151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:53:15.428883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:53:20.093624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분설립별유형시설명도로명주소지번주소위도경도전화번호
연번1.0000.8160.9390.1251.0000.7660.7660.5880.6671.000
구분0.8161.0000.8280.0001.0000.6980.6980.0000.0001.000
설립별0.9390.8281.0000.0001.0001.0001.0000.2260.0001.000
유형0.1250.0000.0001.0001.0001.0001.0000.2640.0001.000
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명주소0.7660.6981.0001.0001.0001.0000.9991.0001.0001.000
지번주소0.7660.6981.0001.0001.0000.9991.0001.0001.0001.000
위도0.5880.0000.2260.2641.0001.0001.0001.0000.8491.000
경도0.6670.0000.0000.0001.0001.0001.0000.8491.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-01-10T05:53:20.197477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형구분설립별
유형1.0000.0000.000
구분0.0001.0000.609
설립별0.0000.6091.000
2024-01-10T05:53:20.272693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도구분설립별유형
연번1.000-0.0790.2400.5840.7320.045
위도-0.0791.000-0.5790.0000.1510.144
경도0.240-0.5791.0000.0000.0000.000
구분0.5840.0000.0001.0000.6090.000
설립별0.7320.1510.0000.6091.0000.000
유형0.0450.1440.0000.0000.0001.000

Missing values

2024-01-10T05:53:15.780990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:53:15.918546image/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

연번구분설립별유형시설명도로명주소지번주소위도경도전화번호데이터기준일자
01초등학교공립공학당진초등학교충청남도 당진시 교동길 106충청남도 당진시 읍내동 21136.891814126.633462041-352-37532022-03-04
12초등학교공립공학성당초등학교충청남도 당진시 역천로 222충청남도 당진시 사기소동 644-536.83661126.605117041-356-51552022-03-04
23초등학교공립공학계성초등학교충청남도 당진시 당진중앙1로 290충청남도 당진시 읍내동 1336.898477126.639285041-352-40312022-03-04
34초등학교공립공학탑동초등학교충청남도 당진시 대호만로 12충청남도 당진시 채운동 488-136.897361126.623185041-354-12522022-03-04
45초등학교공립공학원당초등학교충청남도 당진시 밤절로 31충청남도 당진시 원당동 117136.90221126.638917041-358-56022022-03-04
56초등학교공립공학대덕초등학교충청남도 당진시 대덕1로 80충청남도 당진시 대덕동 188236.882805126.639717041-430-01022022-03-04
67초등학교공립공학합덕초등학교충청남도 당진시 합덕읍 덕평로 508충청남도 당진시 합덕읍 운산리 3-836.804072126.778605041-362-26922022-03-04
78초등학교공립공학합도초등학교충청남도 당진시 합덕읍 면천로 1538충청남도 당진시 합덕읍 운산리 685-136.810441126.754552041-362-23032022-03-04
89초등학교공립공학신촌초등학교충청남도 당진시 합덕읍 상덕로 620-13충청남도 당진시 합덕읍 신리 273-136.763008126.765322041-362-27782022-03-04
910초등학교공립공학고대초등학교충청남도 당진시 고대면 고대로 206충청남도 당진시 고대면 진관리 770-236.936348126.593922041-353-63682022-03-04
연번구분설립별유형시설명도로명주소지번주소위도경도전화번호데이터기준일자
4849고등학교공립남합덕제철고등학교충청남도 당진시 합덕읍 면천로 1601충청남도 당진시 합덕읍 소소리 51-136.813383126.762411041-362-27932022-03-04
4950고등학교공립여합덕고등학교충청남도 당진시 합덕읍 면천로 1583충청남도 당진시 합덕읍 소소리 51-536.813397126.760299041-362-87632022-03-04
5051고등학교사립공학호서고등학교충청남도 당진시 밤절로 2-13충청남도 당진시 읍내동 11-1336.899725126.639123041-354-25032022-03-04
5152고등학교사립공학신평고등학교충청남도 당진시 신평면 서해로 7076충청남도 당진시 신평면 금천리 998-536.883056126.761521041-430-30102022-03-04
5253고등학교사립공학서야고등학교충청남도 당진시 합덕읍 덕평로 335충청남도 당진시 합덕읍 합덕리 262-136.792746126.787787041-363-07152022-03-04
5354고등학교사립공학송악고등학교충청남도 당진시 송악읍 송악로 165충청남도 당진시 송악읍 가학리 313-236.916582126.704762041-351-62332022-03-04
5455특수학교공립공학당진꿈나래학교충청남도 당진시 합덕읍 면천로 1590충청남도 당진시 합덕읍 운산리 678-4236.812152126.762324041-359-10002022-03-04
5556전문대학사립공학신성대학교충청남도 당진시 정미면 대학로 1충청남도 당진시 정미면 덕마리 22036.853709126.593769041-350-11142022-03-04
5657대학교사립공학세한대학교충청남도 당진시 신평면 세한대길 33충청남도 당진시 신평면 남산리 4-136.876157126.780659041-359-61142022-03-04
5758대학교사립공학호서대학교충청남도 당진시 석문면 산단7로 201충청남도 당진시 석문면 삼봉리 2241-137.003128126.584051041-360-48112022-03-04