Overview

Dataset statistics

Number of variables13
Number of observations67
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory110.0 B

Variable types

Numeric4
Categorical5
Text3
DateTime1

Dataset

Description경기도 양주시 행정사 현황에 관한 데이터로 상호명, 신고일자, 소재지 주소, 전화번호, 관리기관, 관리기관 전화번호 등의 내용을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/3080311/fileData.do

Alerts

시군명 has constant value ""Constant
관리기관 has constant value ""Constant
관리기관 전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
소재지지번주소 is highly imbalanced (88.8%)Imbalance
연번 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:50:08.316063
Analysis finished2023-12-12 08:50:11.769414
Duration3.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T17:50:11.870259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.3
Q117.5
median34
Q350.5
95-th percentile63.7
Maximum67
Range66
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.485037
Coefficient of variation (CV)0.57308932
Kurtosis-1.2
Mean34
Median Absolute Deviation (MAD)17
Skewness0
Sum2278
Variance379.66667
MonotonicityStrictly increasing
2023-12-12T17:50:12.048649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
44 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
45 1
 
1.5%
43 1
 
1.5%
2 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
양주시
67 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양주시 67
100.0%

Length

2023-12-12T17:50:12.218218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:12.343166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양주시 67
100.0%

상호명
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T17:50:12.641488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length9.358209
Min length4

Characters and Unicode

Total characters627
Distinct characters126
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)100.0%

Sample

1st rowGLOBAL 행정사 사무소
2nd rowLHB행정사사무소
3rd rowLWS 행정사 사무소
4th rowS·A행정사사무소
5th row가온 행정사사무소
ValueCountFrequency (%)
행정사 24
 
19.0%
사무소 18
 
14.3%
행정사사무소 9
 
7.1%
행정서사 2
 
1.6%
global 1
 
0.8%
이음행정사사무소 1
 
0.8%
정석화 1
 
0.8%
제이s더함 1
 
0.8%
제이 1
 
0.8%
정우행정사사무소 1
 
0.8%
Other values (67) 67
53.2%
2023-12-12T17:50:13.114365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 117
18.7%
정 73
11.6%
행 68
 
10.8%
59
 
9.4%
무 53
 
8.5%
소 52
 
8.3%
이 9
 
1.4%
인 6
 
1.0%
석 5
 
0.8%
김 4
 
0.6%
Other values (116) 181
28.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 542
86.4%
Space Separator 59
 
9.4%
Uppercase Letter 20
 
3.2%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 117
21.6%
정 73
13.5%
행 68
12.5%
무 53
 
9.8%
소 52
 
9.6%
이 9
 
1.7%
인 6
 
1.1%
석 5
 
0.9%
김 4
 
0.7%
우 4
 
0.7%
Other values (100) 151
27.9%
Uppercase Letter
ValueCountFrequency (%)
L 4
20.0%
S 3
15.0%
A 3
15.0%
G 2
10.0%
B 2
10.0%
T 1
 
5.0%
W 1
 
5.0%
O 1
 
5.0%
E 1
 
5.0%
C 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
· 1
50.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 542
86.4%
Common 65
 
10.4%
Latin 20
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 117
21.6%
정 73
13.5%
행 68
12.5%
무 53
 
9.8%
소 52
 
9.6%
이 9
 
1.7%
인 6
 
1.1%
석 5
 
0.9%
김 4
 
0.7%
우 4
 
0.7%
Other values (100) 151
27.9%
Latin
ValueCountFrequency (%)
L 4
20.0%
S 3
15.0%
A 3
15.0%
G 2
10.0%
B 2
10.0%
T 1
 
5.0%
W 1
 
5.0%
O 1
 
5.0%
E 1
 
5.0%
C 1
 
5.0%
Common
ValueCountFrequency (%)
59
90.8%
( 2
 
3.1%
) 2
 
3.1%
. 1
 
1.5%
· 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 542
86.4%
ASCII 84
 
13.4%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 117
21.6%
정 73
13.5%
행 68
12.5%
무 53
 
9.8%
소 52
 
9.6%
이 9
 
1.7%
인 6
 
1.1%
석 5
 
0.9%
김 4
 
0.7%
우 4
 
0.7%
Other values (100) 151
27.9%
ASCII
ValueCountFrequency (%)
59
70.2%
L 4
 
4.8%
S 3
 
3.6%
A 3
 
3.6%
( 2
 
2.4%
G 2
 
2.4%
) 2
 
2.4%
B 2
 
2.4%
. 1
 
1.2%
T 1
 
1.2%
Other values (5) 5
 
6.0%
None
ValueCountFrequency (%)
· 1
100.0%

신고일자
Date

Distinct65
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum1995-04-14 00:00:00
Maximum2023-06-09 00:00:00
2023-12-12T17:50:13.300748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:13.459880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct37
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11462.239
Minimum11404
Maximum11523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T17:50:13.620495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11404
5-th percentile11415.6
Q111443
median11451
Q311487
95-th percentile11520
Maximum11523
Range119
Interquartile range (IQR)44

Descriptive statistics

Standard deviation32.294614
Coefficient of variation (CV)0.0028174787
Kurtosis-0.80390857
Mean11462.239
Median Absolute Deviation (MAD)24
Skewness0.24907498
Sum767970
Variance1042.9421
MonotonicityNot monotonic
2023-12-12T17:50:13.822623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
11443 10
 
14.9%
11444 4
 
6.0%
11451 3
 
4.5%
11481 3
 
4.5%
11473 3
 
4.5%
11404 3
 
4.5%
11498 3
 
4.5%
11450 2
 
3.0%
11520 2
 
3.0%
11521 2
 
3.0%
Other values (27) 32
47.8%
ValueCountFrequency (%)
11404 3
4.5%
11415 1
 
1.5%
11417 1
 
1.5%
11419 2
3.0%
11425 1
 
1.5%
11426 1
 
1.5%
11427 1
 
1.5%
11429 1
 
1.5%
11435 1
 
1.5%
11440 1
 
1.5%
ValueCountFrequency (%)
11523 1
 
1.5%
11521 2
3.0%
11520 2
3.0%
11516 1
 
1.5%
11512 2
3.0%
11501 2
3.0%
11498 3
4.5%
11493 1
 
1.5%
11492 1
 
1.5%
11489 1
 
1.5%

소재지지번주소
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
데이터 미집계
66 
경기도 양주시 덕계동 474-6
 
1

Length

Max length17
Median length7
Mean length7.1492537
Min length7

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row경기도 양주시 덕계동 474-6
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계

Common Values

ValueCountFrequency (%)
데이터 미집계 66
98.5%
경기도 양주시 덕계동 474-6 1
 
1.5%

Length

2023-12-12T17:50:14.000429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:14.129898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
데이터 66
48.5%
미집계 66
48.5%
경기도 1
 
0.7%
양주시 1
 
0.7%
덕계동 1
 
0.7%
474-6 1
 
0.7%

소재지도로명주소
Text

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T17:50:14.402091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length28.850746
Min length15

Characters and Unicode

Total characters1933
Distinct characters131
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)97.0%

Sample

1st row경기도 양주시 평화로 1471, 승정빌딩 2층 2호 (덕계동)
2nd row경기도 양주시 평화로1475번길 7, 1층 (덕계동)
3rd row경기도 양주시 장흥면 가마골로 40-8, 101동 901호(우남송추마을아파트)
4th row경기도 양주시 옥정로5길 35 1102동 1703호(옥정동， e편한세상 옥정어반센트럴)
5th row경기도 양주시 평화로1475번길 7, 301호 (덕계동)
ValueCountFrequency (%)
경기도 67
 
17.1%
양주시 67
 
17.1%
덕계동 13
 
3.3%
부흥로 8
 
2.0%
평화로 8
 
2.0%
장흥면 5
 
1.3%
평화로1475번길 4
 
1.0%
1층 4
 
1.0%
남방동 4
 
1.0%
덕정동 4
 
1.0%
Other values (166) 207
52.9%
2023-12-12T17:50:14.869181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
324
 
16.8%
1 102
 
5.3%
양 75
 
3.9%
주 73
 
3.8%
시 68
 
3.5%
경 67
 
3.5%
도 67
 
3.5%
기 67
 
3.5%
동 64
 
3.3%
로 54
 
2.8%
Other values (121) 972
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1040
53.8%
Decimal Number 416
 
21.5%
Space Separator 324
 
16.8%
Other Punctuation 45
 
2.3%
Open Punctuation 44
 
2.3%
Close Punctuation 44
 
2.3%
Dash Punctuation 17
 
0.9%
Lowercase Letter 2
 
0.1%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 75
 
7.2%
주 73
 
7.0%
시 68
 
6.5%
경 67
 
6.4%
도 67
 
6.4%
기 67
 
6.4%
동 64
 
6.2%
로 54
 
5.2%
길 33
 
3.2%
정 28
 
2.7%
Other values (103) 444
42.7%
Decimal Number
ValueCountFrequency (%)
1 102
24.5%
0 49
11.8%
2 46
11.1%
4 44
10.6%
3 39
 
9.4%
5 36
 
8.7%
7 33
 
7.9%
8 27
 
6.5%
6 23
 
5.5%
9 17
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 42
93.3%
， 3
 
6.7%
Space Separator
ValueCountFrequency (%)
324
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1040
53.8%
Common 890
46.0%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 75
 
7.2%
주 73
 
7.0%
시 68
 
6.5%
경 67
 
6.4%
도 67
 
6.4%
기 67
 
6.4%
동 64
 
6.2%
로 54
 
5.2%
길 33
 
3.2%
정 28
 
2.7%
Other values (103) 444
42.7%
Common
ValueCountFrequency (%)
324
36.4%
1 102
 
11.5%
0 49
 
5.5%
2 46
 
5.2%
( 44
 
4.9%
4 44
 
4.9%
) 44
 
4.9%
, 42
 
4.7%
3 39
 
4.4%
5 36
 
4.0%
Other values (6) 120
 
13.5%
Latin
ValueCountFrequency (%)
e 2
66.7%
Ⅱ 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1040
53.8%
ASCII 889
46.0%
None 3
 
0.2%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
324
36.4%
1 102
 
11.5%
0 49
 
5.5%
2 46
 
5.2%
( 44
 
4.9%
4 44
 
4.9%
) 44
 
4.9%
, 42
 
4.7%
3 39
 
4.4%
5 36
 
4.0%
Other values (6) 119
 
13.4%
Hangul
ValueCountFrequency (%)
양 75
 
7.2%
주 73
 
7.0%
시 68
 
6.5%
경 67
 
6.4%
도 67
 
6.4%
기 67
 
6.4%
동 64
 
6.2%
로 54
 
5.2%
길 33
 
3.2%
정 28
 
2.7%
Other values (103) 444
42.7%
None
ValueCountFrequency (%)
， 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct60
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.815864
Minimum37.701205
Maximum37.913256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T17:50:14.999530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.701205
5-th percentile37.727004
Q137.795977
median37.821778
Q337.834091
95-th percentile37.88856
Maximum37.913256
Range0.21205056
Interquartile range (IQR)0.038113395

Descriptive statistics

Standard deviation0.039429196
Coefficient of variation (CV)0.0010426628
Kurtosis1.8409241
Mean37.815864
Median Absolute Deviation (MAD)0.0173928
Skewness-0.52422199
Sum2533.6629
Variance0.0015546615
MonotonicityNot monotonic
2023-12-12T17:50:15.124862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.8217784 4
 
6.0%
37.821876 2
 
3.0%
37.82074 2
 
3.0%
37.71753286 2
 
3.0%
37.82186803 2
 
3.0%
37.87322649 1
 
1.5%
37.80319045 1
 
1.5%
37.824316 1
 
1.5%
37.83934661 1
 
1.5%
37.76818564 1
 
1.5%
Other values (50) 50
74.6%
ValueCountFrequency (%)
37.70120533 1
1.5%
37.71753286 2
3.0%
37.72215033 1
1.5%
37.73832965 1
1.5%
37.76818564 1
1.5%
37.77603843 1
1.5%
37.78388466 1
1.5%
37.78397852 1
1.5%
37.785554 1
1.5%
37.78570753 1
1.5%
ValueCountFrequency (%)
37.91325589 1
1.5%
37.89697211 1
1.5%
37.89636628 1
1.5%
37.895131 1
1.5%
37.87322649 1
1.5%
37.86895513 1
1.5%
37.84898369 1
1.5%
37.84683764 1
1.5%
37.8464906 1
1.5%
37.84433789 1
1.5%

WGS84경도
Real number (ℝ)

Distinct61
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.04245
Minimum126.94179
Maximum127.10952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-12T17:50:15.254642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.94179
5-th percentile126.97522
Q1127.01691
median127.04846
Q3127.06844
95-th percentile127.0979
Maximum127.10952
Range0.167729
Interquartile range (IQR)0.05153365

Descriptive statistics

Standard deviation0.041444516
Coefficient of variation (CV)0.00032622572
Kurtosis-0.3663866
Mean127.04245
Median Absolute Deviation (MAD)0.0226203
Skewness-0.65542509
Sum8511.8445
Variance0.0017176479
MonotonicityNot monotonic
2023-12-12T17:50:15.398426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0484597 4
 
6.0%
127.092857 2
 
3.0%
126.941789 2
 
3.0%
127.0484018 2
 
3.0%
126.9746658 1
 
1.5%
126.9899 1
 
1.5%
127.068708 1
 
1.5%
127.055 1
 
1.5%
127.0372848 1
 
1.5%
127.0853687 1
 
1.5%
Other values (51) 51
76.1%
ValueCountFrequency (%)
126.941789 2
3.0%
126.9722647 1
1.5%
126.9746658 1
1.5%
126.976527 1
1.5%
126.9769 1
1.5%
126.977 1
1.5%
126.978764 1
1.5%
126.9839 1
1.5%
126.9852893 1
1.5%
126.9856961 1
1.5%
ValueCountFrequency (%)
127.109518 1
1.5%
127.105817 1
1.5%
127.1023067 1
1.5%
127.0983177 1
1.5%
127.0969351 1
1.5%
127.092857 2
3.0%
127.0901 1
1.5%
127.0853687 1
1.5%
127.0852568 1
1.5%
127.085066 1
1.5%

전화번호
Text

Distinct34
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T17:50:15.606329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.5671642
Min length7

Characters and Unicode

Total characters641
Distinct characters18
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

Unique32 ?
Unique (%)47.8%

Sample

1st row데이터 미집계
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계
ValueCountFrequency (%)
데이터 33
33.0%
미집계 33
33.0%
031-859-1345 2
 
2.0%
031-859-2768 1
 
1.0%
031-859-8200 1
 
1.0%
031-829-3335 1
 
1.0%
031-858-7825 1
 
1.0%
031-840-0303 1
 
1.0%
02-2273-2408 1
 
1.0%
031-843-7890 1
 
1.0%
Other values (25) 25
25.0%
2023-12-12T17:50:15.938073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 68
 
10.6%
3 63
 
9.8%
0 55
 
8.6%
8 54
 
8.4%
1 44
 
6.9%
이 33
 
5.1%
데 33
 
5.1%
계 33
 
5.1%
집 33
 
5.1%
미 33
 
5.1%
Other values (8) 192
30.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 342
53.4%
Other Letter 198
30.9%
Dash Punctuation 68
 
10.6%
Space Separator 33
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 63
18.4%
0 55
16.1%
8 54
15.8%
1 44
12.9%
5 30
8.8%
2 30
8.8%
7 20
 
5.8%
6 19
 
5.6%
9 15
 
4.4%
4 12
 
3.5%
Other Letter
ValueCountFrequency (%)
이 33
16.7%
데 33
16.7%
계 33
16.7%
집 33
16.7%
미 33
16.7%
터 33
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 443
69.1%
Hangul 198
30.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 68
15.3%
3 63
14.2%
0 55
12.4%
8 54
12.2%
1 44
9.9%
33
7.4%
5 30
6.8%
2 30
6.8%
7 20
 
4.5%
6 19
 
4.3%
Other values (2) 27
 
6.1%
Hangul
ValueCountFrequency (%)
이 33
16.7%
데 33
16.7%
계 33
16.7%
집 33
16.7%
미 33
16.7%
터 33
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 443
69.1%
Hangul 198
30.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 68
15.3%
3 63
14.2%
0 55
12.4%
8 54
12.2%
1 44
9.9%
33
7.4%
5 30
6.8%
2 30
6.8%
7 20
 
4.5%
6 19
 
4.3%
Other values (2) 27
 
6.1%
Hangul
ValueCountFrequency (%)
이 33
16.7%
데 33
16.7%
계 33
16.7%
집 33
16.7%
미 33
16.7%
터 33
16.7%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
경기도 양주시 민원여권과
67 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 양주시 민원여권과
2nd row경기도 양주시 민원여권과
3rd row경기도 양주시 민원여권과
4th row경기도 양주시 민원여권과
5th row경기도 양주시 민원여권과

Common Values

ValueCountFrequency (%)
경기도 양주시 민원여권과 67
100.0%

Length

2023-12-12T17:50:16.065228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:16.149145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 67
33.3%
양주시 67
33.3%
민원여권과 67
33.3%

관리기관 전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
031-8082-5326
67 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-8082-5326
2nd row031-8082-5326
3rd row031-8082-5326
4th row031-8082-5326
5th row031-8082-5326

Common Values

ValueCountFrequency (%)
031-8082-5326 67
100.0%

Length

2023-12-12T17:50:16.245636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:16.383757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-8082-5326 67
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-06-23
67 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-23
2nd row2023-06-23
3rd row2023-06-23
4th row2023-06-23
5th row2023-06-23

Common Values

ValueCountFrequency (%)
2023-06-23 67
100.0%

Length

2023-12-12T17:50:16.529326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:50:16.652051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-23 67
100.0%

Interactions

2023-12-12T17:50:10.754476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:09.014563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:09.845062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:10.309630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:10.893013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:09.123284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:09.953846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:10.418921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:11.037702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:09.230623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:10.071390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:10.536456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:11.173554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:09.329311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:10.188511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:50:10.640225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:50:16.740140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명신고일자소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도전화번호
연번1.0001.0000.8850.0000.0000.9310.0000.0000.433
상호명1.0001.0001.0001.0001.0001.0001.0001.0001.000
신고일자0.8851.0001.0000.9631.0000.9940.9520.5060.994
소재지우편번호0.0001.0000.9631.0000.0001.0000.7470.9370.000
소재지지번주소0.0001.0001.0000.0001.0001.0000.0000.0000.000
소재지도로명주소0.9311.0000.9941.0001.0001.0001.0001.0000.986
WGS84위도0.0001.0000.9520.7470.0001.0001.0000.8100.486
WGS84경도0.0001.0000.5060.9370.0001.0000.8101.0000.000
전화번호0.4331.0000.9940.0000.0000.9860.4860.0001.000
2023-12-12T17:50:17.258415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지우편번호WGS84위도WGS84경도소재지지번주소
연번1.0000.018-0.024-0.0930.000
소재지우편번호0.0181.000-0.7770.1590.000
WGS84위도-0.024-0.7771.0000.0740.000
WGS84경도-0.0930.1590.0741.0000.000
소재지지번주소0.0000.0000.0000.0001.000

Missing values

2023-12-12T17:50:11.396511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:50:11.647221image/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

연번시군명상호명신고일자소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도전화번호관리기관관리기관 전화번호데이터기준일자
01양주시GLOBAL 행정사 사무소2018-07-1211443경기도 양주시 덕계동 474-6경기도 양주시 평화로 1471, 승정빌딩 2층 2호 (덕계동)37.821778127.04846데이터 미집계경기도 양주시 민원여권과031-8082-53262023-06-23
12양주시LHB행정사사무소2016-01-0511443데이터 미집계경기도 양주시 평화로1475번길 7, 1층 (덕계동)37.821868127.048402데이터 미집계경기도 양주시 민원여권과031-8082-53262023-06-23
23양주시LWS 행정사 사무소2012-10-1111521데이터 미집계경기도 양주시 장흥면 가마골로 40-8, 101동 901호(우남송추마을아파트)37.72215126.977데이터 미집계경기도 양주시 민원여권과031-8082-53262023-06-23
34양주시S·A행정사사무소2023-02-2811472데이터 미집계경기도 양주시 옥정로5길 35 1102동 1703호(옥정동， e편한세상 옥정어반센트럴)37.821343127.0901데이터 미집계경기도 양주시 민원여권과031-8082-53262023-06-23
45양주시가온 행정사사무소2021-01-2611443데이터 미집계경기도 양주시 평화로1475번길 7, 301호 (덕계동)37.82191127.048261데이터 미집계경기도 양주시 민원여권과031-8082-53262023-06-23
56양주시경복행정사사무소2006-04-0511451데이터 미집계경기도 양주시 화합로1426번길 39, 103동 1804호(덕정동, 은동마을주공1단지)37.839171127.068177데이터 미집계경기도 양주시 민원여권과031-8082-53262023-06-23
67양주시고려행정사사무소2021-01-1111443데이터 미집계경기도 양주시 평화로1475번길 11, 2층 201호 (덕계동)37.821876127.048237031-859-1345경기도 양주시 민원여권과031-8082-53262023-06-23
78양주시공인행정사사무소 율촌2022-01-1811474데이터 미집계경기도 양주시 옥정동로 185, 302(옥정동)37.824572127.098318031-866-6757경기도 양주시 민원여권과031-8082-53262023-06-23
89양주시글로벌양주 행정사사무소2017-04-0511443데이터 미집계경기도 양주시 덕계동 474-6, 승정빌딩37.821919127.048483031-863-8266경기도 양주시 민원여권과031-8082-53262023-06-23
910양주시김광수행정사2001-10-2911512데이터 미집계경기도 양주시 백석읍 양주산성로575번길 3937.785708126.989534데이터 미집계경기도 양주시 민원여권과031-8082-53262023-06-23
연번시군명상호명신고일자소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도전화번호관리기관관리기관 전화번호데이터기준일자
5758양주시행정사 장길송사무소1999-07-2311419데이터 미집계경기도 양주시 광적면 가래비6길 11-937.824021126.985696031-856-3401경기도 양주시 민원여권과031-8082-53262023-06-23
5859양주시행정사 정석순 사무소2021-07-0111481데이터 미집계경기도 양주시 고읍로35번길 8307동 702호 (고읍동， 산내들마을 우미린아파트)37.799345127.077618데이터 미집계경기도 양주시 민원여권과031-8082-53262023-06-23
5960양주시행정사 조성춘 사무소2018-07-2611455데이터 미집계경기도 양주시 고암길 275, 310동 803호 (고암동, 동안마을주공3단지아파트)37.83405127.07108031-858-3162경기도 양주시 민원여권과031-8082-53262023-06-23
6061양주시행정사 최형우 사무소2018-05-2411429데이터 미집계경기도 양주시 은현면 화합로 118637.848984127.046713데이터 미집계경기도 양주시 민원여권과031-8082-53262023-06-23
6162양주시행정사정석순사무소2021-07-1211489데이터 미집계경기도 양주시 부흥로 1898-4, 상가동 102호(광사동, 노블랜드)37.791044127.075269데이터 미집계경기도 양주시 민원여권과031-8082-53262023-06-23
6263양주시행정서사 이상법사무소2008-01-2211404데이터 미집계경기도 양주시 남면 개나리길 12037.896972126.9769데이터 미집계경기도 양주시 민원여권과031-8082-53262023-06-23
6364양주시행정서사 이홍연사무소1995-04-1411427데이터 미집계경기도 양주시 은현면 은현로46번길 5337.873226127.026476031-863-7084경기도 양주시 민원여권과031-8082-53262023-06-23
6465양주시허기환행정사2011-08-1811481데이터 미집계경기도 양주시 고읍로 11-7, 106동 9층 901호 (고읍동, 한양수자인아파트)37.80319127.081414070-8259-8480경기도 양주시 민원여권과031-8082-53262023-06-23
6566양주시홍익행정사무소2000-08-1611516데이터 미집계경기도 양주시 백석읍 중앙로223번길 4637.79478126.985289데이터 미집계경기도 양주시 민원여권과031-8082-53262023-06-23
6667양주시황영숙 행정사 사무소2022-01-1111444데이터 미집계경기도 양주시 평화로1454번길 38, 101호(덕계동)37.819543127.049443031-836-6111경기도 양주시 민원여권과031-8082-53262023-06-23