Overview

Dataset statistics

Number of variables10
Number of observations296
Missing cells9
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.8 KiB
Average record size in memory82.4 B

Variable types

Categorical4
DateTime1
Text3
Numeric2

Dataset

Description경기도 수원시에 업무신고하고 사업중인 행정사 현황 데이터 행정사사무소명, 행정사사무소 소재지)를 제공합니다.
Author경기도 수원시
URLhttps://www.data.go.kr/data/15040643/fileData.do

Alerts

시도명 has constant value ""Constant
시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
행정사종류 is highly imbalanced (86.6%)Imbalance
소재지지번주소 has 9 (3.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 04:35:11.699622
Analysis finished2023-12-12 04:35:13.174406
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
경기도
296 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 296
100.0%

Length

2023-12-12T13:35:13.275428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:35:13.414491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 296
100.0%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
수원시
296 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 296
100.0%

Length

2023-12-12T13:35:13.558635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:35:13.701856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수원시 296
100.0%

신고일자
Date

Distinct237
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum1996-02-15 00:00:00
Maximum2023-09-22 00:00:00
2023-12-12T13:35:13.853060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:35:14.042964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사무소명
Text

Distinct285
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T13:35:14.381583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length9.1013514
Min length4

Characters and Unicode

Total characters2694
Distinct characters266
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)92.9%

Sample

1st row익투스 행정사사무소
2nd row행정사합동사무소 세결
3rd row세움 행정사 사무소
4th row지음행정사사무소
5th row수원시티행정사사무소
ValueCountFrequency (%)
행정사사무소 44
 
10.2%
행정사 38
 
8.8%
사무소 31
 
7.2%
제일행정사사무소 3
 
0.7%
행정사법인 3
 
0.7%
행정사합동사무소 3
 
0.7%
하오산 2
 
0.5%
국가공인 2
 
0.5%
일반행정사·외국어번역행정사 2
 
0.5%
다니엘 2
 
0.5%
Other values (293) 301
69.8%
2023-12-12T13:35:14.936907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 519
19.3%
정 319
 
11.8%
행 304
 
11.3%
무 211
 
7.8%
소 211
 
7.8%
135
 
5.0%
이 28
 
1.0%
국 22
 
0.8%
인 21
 
0.8%
한 21
 
0.8%
Other values (256) 903
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2500
92.8%
Space Separator 135
 
5.0%
Uppercase Letter 30
 
1.1%
Other Punctuation 11
 
0.4%
Lowercase Letter 8
 
0.3%
Decimal Number 7
 
0.3%
Dash Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 519
20.8%
정 319
 
12.8%
행 304
 
12.2%
무 211
 
8.4%
소 211
 
8.4%
이 28
 
1.1%
국 22
 
0.9%
인 21
 
0.8%
한 21
 
0.8%
성 20
 
0.8%
Other values (226) 824
33.0%
Uppercase Letter
ValueCountFrequency (%)
K 8
26.7%
O 3
 
10.0%
I 3
 
10.0%
Y 2
 
6.7%
N 2
 
6.7%
A 2
 
6.7%
S 2
 
6.7%
W 2
 
6.7%
C 1
 
3.3%
V 1
 
3.3%
Other values (4) 4
13.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
h 2
25.0%
k 1
12.5%
o 1
12.5%
n 1
12.5%
a 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 6
54.5%
· 4
36.4%
& 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
8 4
57.1%
1 2
28.6%
0 1
 
14.3%
Space Separator
ValueCountFrequency (%)
135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2500
92.8%
Common 156
 
5.8%
Latin 38
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 519
20.8%
정 319
 
12.8%
행 304
 
12.2%
무 211
 
8.4%
소 211
 
8.4%
이 28
 
1.1%
국 22
 
0.9%
인 21
 
0.8%
한 21
 
0.8%
성 20
 
0.8%
Other values (226) 824
33.0%
Latin
ValueCountFrequency (%)
K 8
21.1%
O 3
 
7.9%
I 3
 
7.9%
Y 2
 
5.3%
N 2
 
5.3%
A 2
 
5.3%
S 2
 
5.3%
e 2
 
5.3%
W 2
 
5.3%
h 2
 
5.3%
Other values (10) 10
26.3%
Common
ValueCountFrequency (%)
135
86.5%
. 6
 
3.8%
· 4
 
2.6%
8 4
 
2.6%
1 2
 
1.3%
- 1
 
0.6%
& 1
 
0.6%
) 1
 
0.6%
( 1
 
0.6%
0 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2500
92.8%
ASCII 190
 
7.1%
None 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 519
20.8%
정 319
 
12.8%
행 304
 
12.2%
무 211
 
8.4%
소 211
 
8.4%
이 28
 
1.1%
국 22
 
0.9%
인 21
 
0.8%
한 21
 
0.8%
성 20
 
0.8%
Other values (226) 824
33.0%
ASCII
ValueCountFrequency (%)
135
71.1%
K 8
 
4.2%
. 6
 
3.2%
8 4
 
2.1%
O 3
 
1.6%
I 3
 
1.6%
Y 2
 
1.1%
N 2
 
1.1%
A 2
 
1.1%
S 2
 
1.1%
Other values (19) 23
 
12.1%
None
ValueCountFrequency (%)
· 4
100.0%

행정사종류
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
일반행정사
284 
외국어번역행정사(영어)
 
7
외국어번역행정사(중국어)
 
2
외국어번역행정사(일본어)
 
2
해사행정사
 
1

Length

Max length13
Median length5
Mean length5.2736486
Min length5

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row외국어번역행정사(영어)
2nd row일반행정사
3rd row외국어번역행정사(영어)
4th row일반행정사
5th row일반행정사

Common Values

ValueCountFrequency (%)
일반행정사 284
95.9%
외국어번역행정사(영어) 7
 
2.4%
외국어번역행정사(중국어) 2
 
0.7%
외국어번역행정사(일본어) 2
 
0.7%
해사행정사 1
 
0.3%

Length

2023-12-12T13:35:15.156822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:35:15.337496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반행정사 284
95.9%
외국어번역행정사(영어 7
 
2.4%
외국어번역행정사(중국어 2
 
0.7%
외국어번역행정사(일본어 2
 
0.7%
해사행정사 1
 
0.3%

소재지도로명주소
Text

Distinct205
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T13:35:15.686417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length19.094595
Min length1

Characters and Unicode

Total characters5652
Distinct characters114
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

Unique177 ?
Unique (%)59.8%

Sample

1st row경기도 수원시 영통구 청명남로 32
2nd row경기도 수원시 권선구 세지로94번길 19
3rd row경기도 수원시 권선구 당진로15번길 53
4th row경기도 수원시 영통구 반달로35번길 30
5th row경기도 수원시 팔달구 향교로 61
ValueCountFrequency (%)
경기도 253
19.5%
수원시 253
19.5%
영통구 110
 
8.5%
팔달구 71
 
5.5%
권선구 38
 
2.9%
장안구 34
 
2.6%
동수원로 18
 
1.4%
서부로 10
 
0.8%
원천동 10
 
0.8%
권광로 10
 
0.8%
Other values (297) 491
37.8%
2023-12-12T13:35:16.308454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1088
19.2%
수 309
 
5.5%
원 306
 
5.4%
경 268
 
4.7%
로 254
 
4.5%
도 254
 
4.5%
구 254
 
4.5%
기 253
 
4.5%
시 253
 
4.5%
1 166
 
2.9%
Other values (104) 2247
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3517
62.2%
Space Separator 1088
 
19.2%
Decimal Number 933
 
16.5%
Open Punctuation 41
 
0.7%
Close Punctuation 39
 
0.7%
Dash Punctuation 34
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 309
 
8.8%
원 306
 
8.7%
경 268
 
7.6%
로 254
 
7.2%
도 254
 
7.2%
구 254
 
7.2%
기 253
 
7.2%
시 253
 
7.2%
영 135
 
3.8%
통 114
 
3.2%
Other values (90) 1117
31.8%
Decimal Number
ValueCountFrequency (%)
1 166
17.8%
2 127
13.6%
5 110
11.8%
4 102
10.9%
3 100
10.7%
6 84
9.0%
0 66
 
7.1%
7 64
 
6.9%
9 63
 
6.8%
8 51
 
5.5%
Space Separator
ValueCountFrequency (%)
1088
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3517
62.2%
Common 2135
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 309
 
8.8%
원 306
 
8.7%
경 268
 
7.6%
로 254
 
7.2%
도 254
 
7.2%
구 254
 
7.2%
기 253
 
7.2%
시 253
 
7.2%
영 135
 
3.8%
통 114
 
3.2%
Other values (90) 1117
31.8%
Common
ValueCountFrequency (%)
1088
51.0%
1 166
 
7.8%
2 127
 
5.9%
5 110
 
5.2%
4 102
 
4.8%
3 100
 
4.7%
6 84
 
3.9%
0 66
 
3.1%
7 64
 
3.0%
9 63
 
3.0%
Other values (4) 165
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3517
62.2%
ASCII 2135
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1088
51.0%
1 166
 
7.8%
2 127
 
5.9%
5 110
 
5.2%
4 102
 
4.8%
3 100
 
4.7%
6 84
 
3.9%
0 66
 
3.1%
7 64
 
3.0%
9 63
 
3.0%
Other values (4) 165
 
7.7%
Hangul
ValueCountFrequency (%)
수 309
 
8.8%
원 306
 
8.7%
경 268
 
7.6%
로 254
 
7.2%
도 254
 
7.2%
구 254
 
7.2%
기 253
 
7.2%
시 253
 
7.2%
영 135
 
3.8%
통 114
 
3.2%
Other values (90) 1117
31.8%

소재지지번주소
Text

MISSING 

Distinct144
Distinct (%)50.2%
Missing9
Missing (%)3.0%
Memory size2.4 KiB
2023-12-12T13:35:16.674348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length12.264808
Min length1

Characters and Unicode

Total characters3520
Distinct characters127
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)44.3%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
경기도 163
19.4%
수원시 163
19.4%
영통구 58
 
6.9%
팔달구 53
 
6.3%
권선구 35
 
4.2%
영통동 18
 
2.1%
장안구 17
 
2.0%
원천동 11
 
1.3%
인계동 11
 
1.3%
하동 10
 
1.2%
Other values (194) 303
36.0%
2023-12-12T13:35:17.237609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
803
22.8%
원 180
 
5.1%
구 168
 
4.8%
수 166
 
4.7%
시 165
 
4.7%
기 163
 
4.6%
도 163
 
4.6%
경 163
 
4.6%
동 150
 
4.3%
1 146
 
4.1%
Other values (117) 1253
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2070
58.8%
Space Separator 803
 
22.8%
Decimal Number 585
 
16.6%
Dash Punctuation 53
 
1.5%
Uppercase Letter 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 180
 
8.7%
구 168
 
8.1%
수 166
 
8.0%
시 165
 
8.0%
기 163
 
7.9%
도 163
 
7.9%
경 163
 
7.9%
동 150
 
7.2%
영 82
 
4.0%
통 77
 
3.7%
Other values (98) 593
28.6%
Decimal Number
ValueCountFrequency (%)
1 146
25.0%
8 73
12.5%
0 67
11.5%
2 52
 
8.9%
5 46
 
7.9%
4 45
 
7.7%
9 45
 
7.7%
6 43
 
7.4%
3 36
 
6.2%
7 32
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
U 2
22.2%
B 2
22.2%
S 1
11.1%
K 1
11.1%
H 1
11.1%
L 1
11.1%
E 1
11.1%
Space Separator
ValueCountFrequency (%)
803
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2070
58.8%
Common 1441
40.9%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 180
 
8.7%
구 168
 
8.1%
수 166
 
8.0%
시 165
 
8.0%
기 163
 
7.9%
도 163
 
7.9%
경 163
 
7.9%
동 150
 
7.2%
영 82
 
4.0%
통 77
 
3.7%
Other values (98) 593
28.6%
Common
ValueCountFrequency (%)
803
55.7%
1 146
 
10.1%
8 73
 
5.1%
0 67
 
4.6%
- 53
 
3.7%
2 52
 
3.6%
5 46
 
3.2%
4 45
 
3.1%
9 45
 
3.1%
6 43
 
3.0%
Other values (2) 68
 
4.7%
Latin
ValueCountFrequency (%)
U 2
22.2%
B 2
22.2%
S 1
11.1%
K 1
11.1%
H 1
11.1%
L 1
11.1%
E 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2070
58.8%
ASCII 1450
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
803
55.4%
1 146
 
10.1%
8 73
 
5.0%
0 67
 
4.6%
- 53
 
3.7%
2 52
 
3.6%
5 46
 
3.2%
4 45
 
3.1%
9 45
 
3.1%
6 43
 
3.0%
Other values (9) 77
 
5.3%
Hangul
ValueCountFrequency (%)
원 180
 
8.7%
구 168
 
8.1%
수 166
 
8.0%
시 165
 
8.0%
기 163
 
7.9%
도 163
 
7.9%
경 163
 
7.9%
동 150
 
7.2%
영 82
 
4.0%
통 77
 
3.7%
Other values (98) 593
28.6%

위도
Real number (ℝ)

Distinct228
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.271892
Minimum37.236294
Maximum37.310445
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T13:35:17.432062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.236294
5-th percentile37.248478
Q137.258085
median37.272159
Q337.285136
95-th percentile37.300176
Maximum37.310445
Range0.07415091
Interquartile range (IQR)0.027050535

Descriptive statistics

Standard deviation0.016890691
Coefficient of variation (CV)0.00045317503
Kurtosis-0.73994951
Mean37.271892
Median Absolute Deviation (MAD)0.013278515
Skewness0.1720836
Sum11032.48
Variance0.00028529544
MonotonicityNot monotonic
2023-12-12T13:35:17.625390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.26212165 8
 
2.7%
37.25178087 6
 
2.0%
37.27523159 5
 
1.7%
37.29945317 4
 
1.4%
37.29107988 4
 
1.4%
37.25285786 4
 
1.4%
37.25000698 4
 
1.4%
37.26668414 3
 
1.0%
37.27536317 3
 
1.0%
37.27397099 3
 
1.0%
Other values (218) 252
85.1%
ValueCountFrequency (%)
37.23629436 2
0.7%
37.23649593 1
0.3%
37.23832133 1
0.3%
37.23844501 1
0.3%
37.24183079 1
0.3%
37.24280809 1
0.3%
37.24406374 1
0.3%
37.2450648 1
0.3%
37.24516839 1
0.3%
37.24526354 1
0.3%
ValueCountFrequency (%)
37.31044527 1
0.3%
37.310284 1
0.3%
37.30821292 1
0.3%
37.3065012 1
0.3%
37.30632759 2
0.7%
37.30360269 1
0.3%
37.30344542 1
0.3%
37.30314585 1
0.3%
37.30229237 1
0.3%
37.30148663 1
0.3%

경도
Real number (ℝ)

Distinct227
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.02851
Minimum126.9383
Maximum127.07898
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T13:35:17.795841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.9383
5-th percentile126.9742
Q1127.00733
median127.02977
Q3127.05061
95-th percentile127.07649
Maximum127.07898
Range0.1406833
Interquartile range (IQR)0.043285825

Descriptive statistics

Standard deviation0.031260827
Coefficient of variation (CV)0.000246093
Kurtosis-0.52480372
Mean127.02851
Median Absolute Deviation (MAD)0.02155785
Skewness-0.30073211
Sum37600.439
Variance0.00097723933
MonotonicityNot monotonic
2023-12-12T13:35:17.958003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0315905 8
 
2.7%
127.0774604 6
 
2.0%
127.0506128 5
 
1.7%
126.9716743 4
 
1.4%
127.0659769 4
 
1.4%
126.9757633 4
 
1.4%
127.0789784 4
 
1.4%
127.0302789 3
 
1.0%
127.0090479 3
 
1.0%
127.0485695 3
 
1.0%
Other values (217) 252
85.1%
ValueCountFrequency (%)
126.9382951 1
 
0.3%
126.952984 1
 
0.3%
126.9533534 1
 
0.3%
126.9541915 1
 
0.3%
126.9583393 1
 
0.3%
126.9626948 1
 
0.3%
126.96442 1
 
0.3%
126.9702475 1
 
0.3%
126.970353 1
 
0.3%
126.9716743 4
1.4%
ValueCountFrequency (%)
127.0789784 4
1.4%
127.0780082 1
 
0.3%
127.0774604 6
2.0%
127.077098 1
 
0.3%
127.0768039 1
 
0.3%
127.0765867 1
 
0.3%
127.0765518 1
 
0.3%
127.0764668 2
 
0.7%
127.0763468 1
 
0.3%
127.0762318 1
 
0.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-10-06
296 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-06
2nd row2023-10-06
3rd row2023-10-06
4th row2023-10-06
5th row2023-10-06

Common Values

ValueCountFrequency (%)
2023-10-06 296
100.0%

Length

2023-12-12T13:35:18.119782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:35:18.230917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-06 296
100.0%

Interactions

2023-12-12T13:35:12.524984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:35:12.204008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:35:12.673753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:35:12.366319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:35:18.316572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정사종류위도경도
행정사종류1.0000.0000.365
위도0.0001.0000.774
경도0.3650.7741.000
2023-12-12T13:35:18.431357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도행정사종류
위도1.000-0.2450.000
경도-0.2451.0000.158
행정사종류0.0000.1581.000

Missing values

2023-12-12T13:35:12.874462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:35:13.081777image/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

시도명시군명신고일자사무소명행정사종류소재지도로명주소소재지지번주소위도경도데이터기준일자
0경기도수원시2023-09-22익투스 행정사사무소외국어번역행정사(영어)경기도 수원시 영통구 청명남로 3237.252489127.0757152023-10-06
1경기도수원시2023-09-13행정사합동사무소 세결일반행정사경기도 수원시 권선구 세지로94번길 1937.259859127.0194982023-10-06
2경기도수원시2023-09-13세움 행정사 사무소외국어번역행정사(영어)경기도 수원시 권선구 당진로15번길 5337.291987126.9382952023-10-06
3경기도수원시2023-09-01지음행정사사무소일반행정사경기도 수원시 영통구 반달로35번길 30<NA>37.251781127.077462023-10-06
4경기도수원시2023-08-24수원시티행정사사무소일반행정사경기도 수원시 팔달구 향교로 6137.269888127.0074272023-10-06
5경기도수원시2023-08-08이지행정사사무소일반행정사경기도 수원시 팔달구 권광로 15937.262122127.031592023-10-06
6경기도수원시2023-08-14영통 행정사 사무소일반행정사경기도 수원시 영통구 영일로 2937.250055127.0768042023-10-06
7경기도수원시2023-07-19디지털그린 행정사사무소일반행정사경기도 수원시 영통구 봉영로 161737.255531127.0743162023-10-06
8경기도수원시2023-07-19경기 행정사 합동사무소일반행정사경기도 수원시 영통구 매영로 41237.248497127.0765522023-10-06
9경기도수원시2023-07-10JW 행정사사무소일반행정사경기도 수원시 영통구 동수원로 44837.268821127.0427792023-10-06
시도명시군명신고일자사무소명행정사종류소재지도로명주소소재지지번주소위도경도데이터기준일자
286경기도수원시2003-07-21나홀로소송지원센터행정사일반행정사경기도 수원시 영통구 원천동 84-2037.27331127.0568662023-10-06
287경기도수원시2003-09-29경희사행정사일반행정사경기도 수원시 권선구 권선동 1194-1037.251082127.0238162023-10-06
288경기도수원시2003-10-06김정년행정사일반행정사경기도 수원시 권선구 권선동 1199-137.249528127.0248132023-10-06
289경기도수원시2003-11-11이일재행정사일반행정사경기도 수원시 권선구 구운동 89037.285218126.9750812023-10-06
290경기도수원시1996-02-15노재상행정사일반행정사경기도 수원시 팔달구 신풍동 25837.283513127.0128062023-10-06
291경기도수원시1996-02-15박혜우행정사일반행정사경기도 수원시 권선구 권선동 1054-1437.25729127.0240122023-10-06
292경기도수원시1996-02-15이영식행정사일반행정사경기도 수원시 영통구 원천동 84-5437.27331127.0568662023-10-06
293경기도수원시1996-06-24황정규행정사일반행정사경기도 수원시 권선구 권선동 1194-1037.251082127.0238162023-10-06
294경기도수원시1998-04-06윤영길행정사일반행정사경기도 수원시 영통구 원천동 85-2137.273855127.048172023-10-06
295경기도수원시2004-12-13문태윤행정사사무소일반행정사경기도 수원시 장안구 정조로981번길 2337.293833127.0087512023-10-06