Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells8506
Missing cells (%)9.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory849.6 KiB
Average record size in memory87.0 B

Variable types

Categorical1
Numeric6
Text2

Dataset

Description당진시 공간정보활용시스템에서 관리하는 새주소 정보에 대한 데이터로 시군구번호, 도로명번호, 주건물번호, 부건물번호, 건물명, 도로명주소 등의 항목을 제공합니다.
Author충청남도 당진시
URLhttps://www.data.go.kr/data/15091588/fileData.do

Alerts

시군구번호 has constant value ""Constant
도로명번호 is highly overall correlated with 경도High correlation
구우편주소 is highly overall correlated with 위도High correlation
경도 is highly overall correlated with 도로명번호High correlation
위도 is highly overall correlated with 구우편주소High correlation
건물명 has 8506 (85.1%) missing valuesMissing
도로명번호 has unique valuesUnique
도로명주소 has unique valuesUnique
부건물번호 has 3782 (37.8%) zerosZeros

Reproduction

Analysis started2023-12-12 12:15:05.257034
Analysis finished2023-12-12 12:15:11.452401
Duration6.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
44270
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44270
2nd row44270
3rd row44270
4th row44270
5th row44270

Common Values

ValueCountFrequency (%)
44270 10000
100.0%

Length

2023-12-12T21:15:11.505725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:15:11.614550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44270 10000
100.0%

도로명번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21439.629
Minimum5
Maximum45339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:15:11.958587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile2147.8
Q110140.25
median21146.5
Q332103.25
95-th percentile42125.1
Maximum45339
Range45334
Interquartile range (IQR)21963

Descriptive statistics

Standard deviation12785.417
Coefficient of variation (CV)0.59634507
Kurtosis-1.1702651
Mean21439.629
Median Absolute Deviation (MAD)10990.5
Skewness0.073542998
Sum2.1439629 × 108
Variance1.6346688 × 108
MonotonicityNot monotonic
2023-12-12T21:15:12.127590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3932 1
 
< 0.1%
15170 1
 
< 0.1%
16210 1
 
< 0.1%
11685 1
 
< 0.1%
1804 1
 
< 0.1%
4620 1
 
< 0.1%
32201 1
 
< 0.1%
7348 1
 
< 0.1%
18536 1
 
< 0.1%
24189 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
5 1
< 0.1%
6 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
22 1
< 0.1%
24 1
< 0.1%
37 1
< 0.1%
44 1
< 0.1%
47 1
< 0.1%
55 1
< 0.1%
ValueCountFrequency (%)
45339 1
< 0.1%
45338 1
< 0.1%
45327 1
< 0.1%
45321 1
< 0.1%
45313 1
< 0.1%
45307 1
< 0.1%
45303 1
< 0.1%
45297 1
< 0.1%
45279 1
< 0.1%
45278 1
< 0.1%

주건물번호
Real number (ℝ)

Distinct1188
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean279.9888
Minimum1
Maximum7516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:15:12.271303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q136
median87
Q3241
95-th percentile1183.25
Maximum7516
Range7515
Interquartile range (IQR)205

Descriptive statistics

Standard deviation661.37987
Coefficient of variation (CV)2.3621655
Kurtosis59.437453
Mean279.9888
Median Absolute Deviation (MAD)65
Skewness6.845964
Sum2799888
Variance437423.33
MonotonicityNot monotonic
2023-12-12T21:15:12.413504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 97
 
1.0%
42 89
 
0.9%
19 88
 
0.9%
20 87
 
0.9%
7 85
 
0.9%
17 85
 
0.9%
9 84
 
0.8%
39 82
 
0.8%
21 81
 
0.8%
31 80
 
0.8%
Other values (1178) 9142
91.4%
ValueCountFrequency (%)
1 36
0.4%
2 43
0.4%
3 56
0.6%
4 57
0.6%
5 49
0.5%
6 69
0.7%
7 85
0.9%
8 72
0.7%
9 84
0.8%
10 71
0.7%
ValueCountFrequency (%)
7516 1
 
< 0.1%
7484 1
 
< 0.1%
7479 1
 
< 0.1%
7434 1
 
< 0.1%
7425 1
 
< 0.1%
7412 1
 
< 0.1%
7410 1
 
< 0.1%
7404 4
< 0.1%
7298 1
 
< 0.1%
7297 2
< 0.1%

부건물번호
Real number (ℝ)

ZEROS 

Distinct189
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.3743
Minimum0
Maximum441
Zeros3782
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:15:12.565196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q319
95-th percentile67
Maximum441
Range441
Interquartile range (IQR)19

Descriptive statistics

Standard deviation27.102075
Coefficient of variation (CV)1.7628168
Kurtosis29.547245
Mean15.3743
Median Absolute Deviation (MAD)5
Skewness4.0766027
Sum153743
Variance734.52245
MonotonicityNot monotonic
2023-12-12T21:15:12.722575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3782
37.8%
1 344
 
3.4%
6 284
 
2.8%
5 270
 
2.7%
8 259
 
2.6%
7 258
 
2.6%
4 251
 
2.5%
3 242
 
2.4%
9 230
 
2.3%
12 197
 
2.0%
Other values (179) 3883
38.8%
ValueCountFrequency (%)
0 3782
37.8%
1 344
 
3.4%
2 155
 
1.6%
3 242
 
2.4%
4 251
 
2.5%
5 270
 
2.7%
6 284
 
2.8%
7 258
 
2.6%
8 259
 
2.6%
9 230
 
2.3%
ValueCountFrequency (%)
441 1
< 0.1%
431 1
< 0.1%
355 1
< 0.1%
309 1
< 0.1%
297 1
< 0.1%
271 1
< 0.1%
269 1
< 0.1%
267 1
< 0.1%
263 1
< 0.1%
261 1
< 0.1%

건물명
Text

MISSING 

Distinct1281
Distinct (%)85.7%
Missing8506
Missing (%)85.1%
Memory size156.2 KiB
2023-12-12T21:15:13.025009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length5.3005355
Min length1

Characters and Unicode

Total characters7919
Distinct characters539
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1230 ?
Unique (%)82.3%

Sample

1st row백마장여관
2nd row돈사
3rd row종가집
4th row한일약업사
5th row애견번식장
ValueCountFrequency (%)
우사 47
 
3.0%
돈사 37
 
2.4%
하우스 26
 
1.7%
견사 12
 
0.8%
원룸 10
 
0.6%
사무실 8
 
0.5%
차고 7
 
0.5%
슈퍼 6
 
0.4%
세계능력부흥성교회 6
 
0.4%
제각 6
 
0.4%
Other values (1316) 1384
89.3%
2023-12-12T21:15:13.570302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 222
 
2.8%
회 163
 
2.1%
리 142
 
1.8%
원 129
 
1.6%
당 125
 
1.6%
우 124
 
1.6%
주 123
 
1.6%
마 122
 
1.5%
장 119
 
1.5%
대 113
 
1.4%
Other values (529) 6537
82.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7547
95.3%
Decimal Number 81
 
1.0%
Uppercase Letter 70
 
0.9%
Close Punctuation 64
 
0.8%
Open Punctuation 64
 
0.8%
Space Separator 55
 
0.7%
Other Punctuation 34
 
0.4%
Lowercase Letter 3
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 222
 
2.9%
회 163
 
2.2%
리 142
 
1.9%
원 129
 
1.7%
당 125
 
1.7%
우 124
 
1.6%
주 123
 
1.6%
마 122
 
1.6%
장 119
 
1.6%
대 113
 
1.5%
Other values (490) 6165
81.7%
Uppercase Letter
ValueCountFrequency (%)
P 7
 
10.0%
K 6
 
8.6%
C 6
 
8.6%
T 6
 
8.6%
G 6
 
8.6%
S 4
 
5.7%
E 4
 
5.7%
A 4
 
5.7%
B 4
 
5.7%
L 3
 
4.3%
Other values (11) 20
28.6%
Decimal Number
ValueCountFrequency (%)
1 42
51.9%
2 18
22.2%
3 7
 
8.6%
0 5
 
6.2%
5 4
 
4.9%
4 2
 
2.5%
9 1
 
1.2%
8 1
 
1.2%
7 1
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
c 1
33.3%
e 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 25
73.5%
. 9
 
26.5%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7547
95.3%
Common 299
 
3.8%
Latin 73
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 222
 
2.9%
회 163
 
2.2%
리 142
 
1.9%
원 129
 
1.7%
당 125
 
1.7%
우 124
 
1.6%
주 123
 
1.6%
마 122
 
1.6%
장 119
 
1.6%
대 113
 
1.5%
Other values (490) 6165
81.7%
Latin
ValueCountFrequency (%)
P 7
 
9.6%
K 6
 
8.2%
C 6
 
8.2%
T 6
 
8.2%
G 6
 
8.2%
S 4
 
5.5%
E 4
 
5.5%
A 4
 
5.5%
B 4
 
5.5%
L 3
 
4.1%
Other values (14) 23
31.5%
Common
ValueCountFrequency (%)
) 64
21.4%
( 64
21.4%
55
18.4%
1 42
14.0%
, 25
 
8.4%
2 18
 
6.0%
. 9
 
3.0%
3 7
 
2.3%
0 5
 
1.7%
5 4
 
1.3%
Other values (5) 6
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7547
95.3%
ASCII 372
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 222
 
2.9%
회 163
 
2.2%
리 142
 
1.9%
원 129
 
1.7%
당 125
 
1.7%
우 124
 
1.6%
주 123
 
1.6%
마 122
 
1.6%
장 119
 
1.6%
대 113
 
1.5%
Other values (490) 6165
81.7%
ASCII
ValueCountFrequency (%)
) 64
17.2%
( 64
17.2%
55
14.8%
1 42
11.3%
, 25
 
6.7%
2 18
 
4.8%
. 9
 
2.4%
P 7
 
1.9%
3 7
 
1.9%
K 6
 
1.6%
Other values (29) 75
20.2%

구우편주소
Real number (ℝ)

HIGH CORRELATION 

Distinct116
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31762.228
Minimum31700
Maximum31816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:15:13.784124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31700
5-th percentile31704
Q131730
median31761
Q331797
95-th percentile31813.05
Maximum31816
Range116
Interquartile range (IQR)67

Descriptive statistics

Standard deviation36.18446
Coefficient of variation (CV)0.0011392292
Kurtosis-1.3050709
Mean31762.228
Median Absolute Deviation (MAD)33
Skewness-0.12759897
Sum3.1762228 × 108
Variance1309.3151
MonotonicityNot monotonic
2023-12-12T21:15:14.021938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31812 274
 
2.7%
31754 213
 
2.1%
31801 209
 
2.1%
31814 208
 
2.1%
31743 196
 
2.0%
31791 191
 
1.9%
31803 190
 
1.9%
31714 185
 
1.8%
31815 180
 
1.8%
31802 164
 
1.6%
Other values (106) 7990
79.9%
ValueCountFrequency (%)
31700 153
1.5%
31701 132
1.3%
31702 16
 
0.2%
31703 107
1.1%
31704 114
1.1%
31705 67
0.7%
31706 117
1.2%
31707 105
1.1%
31708 66
0.7%
31709 53
 
0.5%
ValueCountFrequency (%)
31816 112
1.1%
31815 180
1.8%
31814 208
2.1%
31813 116
1.2%
31812 274
2.7%
31811 139
1.4%
31810 11
 
0.1%
31809 61
 
0.6%
31808 57
 
0.6%
31807 70
 
0.7%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct9987
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean926709.85
Minimum904147.8
Maximum941879.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:15:14.248547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum904147.8
5-th percentile913063.82
Q1920888.66
median927122.22
Q3934265.65
95-th percentile938060.84
Maximum941879.57
Range37731.77
Interquartile range (IQR)13376.985

Descriptive statistics

Standard deviation8040.1382
Coefficient of variation (CV)0.0086760038
Kurtosis-0.89744146
Mean926709.85
Median Absolute Deviation (MAD)6740.98
Skewness-0.29120268
Sum9.2670985 × 109
Variance64643822
MonotonicityNot monotonic
2023-12-12T21:15:14.466056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
932795.41 3
 
< 0.1%
936430.48 2
 
< 0.1%
918850.47 2
 
< 0.1%
922787.35 2
 
< 0.1%
927857.91 2
 
< 0.1%
917935.66 2
 
< 0.1%
935271.75 2
 
< 0.1%
923345.26 2
 
< 0.1%
934518.29 2
 
< 0.1%
936708.55 2
 
< 0.1%
Other values (9977) 9979
99.8%
ValueCountFrequency (%)
904147.8 1
< 0.1%
904248.06 1
< 0.1%
904343.0 1
< 0.1%
904343.88 1
< 0.1%
904345.37 1
< 0.1%
904463.25 1
< 0.1%
904628.84 1
< 0.1%
904867.3 1
< 0.1%
905106.5 1
< 0.1%
905173.52 1
< 0.1%
ValueCountFrequency (%)
941879.57 1
< 0.1%
941645.64 1
< 0.1%
941383.98 1
< 0.1%
941354.93 1
< 0.1%
941345.57 1
< 0.1%
941290.42 1
< 0.1%
941283.73 1
< 0.1%
941252.95 1
< 0.1%
941244.74 1
< 0.1%
941235.48 1
< 0.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct9986
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1877229.4
Minimum1862182.3
Maximum1896016.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:15:14.680957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1862182.3
5-th percentile1866874
Q11871650.1
median1877259.9
Q31882044.2
95-th percentile1889631
Maximum1896016.2
Range33833.85
Interquartile range (IQR)10394.14

Descriptive statistics

Standard deviation6997.5382
Coefficient of variation (CV)0.0037275882
Kurtosis-0.46654814
Mean1877229.4
Median Absolute Deviation (MAD)5192.22
Skewness0.26011944
Sum1.8772294 × 1010
Variance48965541
MonotonicityNot monotonic
2023-12-12T21:15:14.877259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1867879.52 2
 
< 0.1%
1882488.94 2
 
< 0.1%
1877561.78 2
 
< 0.1%
1878172.5 2
 
< 0.1%
1879336.5 2
 
< 0.1%
1879939.15 2
 
< 0.1%
1877877.67 2
 
< 0.1%
1873206.28 2
 
< 0.1%
1876746.63 2
 
< 0.1%
1865533.37 2
 
< 0.1%
Other values (9976) 9980
99.8%
ValueCountFrequency (%)
1862182.34 1
< 0.1%
1862183.78 1
< 0.1%
1862207.02 1
< 0.1%
1862207.52 1
< 0.1%
1862714.99 1
< 0.1%
1862776.26 1
< 0.1%
1862811.53 1
< 0.1%
1862836.37 1
< 0.1%
1862850.52 1
< 0.1%
1862857.97 1
< 0.1%
ValueCountFrequency (%)
1896016.19 1
< 0.1%
1895550.39 1
< 0.1%
1895519.04 1
< 0.1%
1895509.46 1
< 0.1%
1895504.6 1
< 0.1%
1895503.89 1
< 0.1%
1895497.05 1
< 0.1%
1895482.91 1
< 0.1%
1895480.32 1
< 0.1%
1895472.17 1
< 0.1%

도로명주소
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T21:15:15.237733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length16.3252
Min length9

Characters and Unicode

Total characters163252
Distinct characters314
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row당진시 신평면 샛터길 107
2nd row당진시 면천면 엄치길 121-6
3rd row당진시 합덕읍 운산로 136-3
4th row당진시 신평면 샛터로 161
5th row당진시 합덕읍 내동로 201
ValueCountFrequency (%)
당진시 10000
26.0%
송악읍 1369
 
3.6%
합덕읍 1083
 
2.8%
신평면 993
 
2.6%
석문면 878
 
2.3%
고대면 720
 
1.9%
송산면 716
 
1.9%
순성면 622
 
1.6%
우강면 589
 
1.5%
면천면 578
 
1.5%
Other values (6747) 20923
54.4%
2023-12-12T21:15:15.748046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28471
17.4%
당 10568
 
6.5%
진 10423
 
6.4%
시 10328
 
6.3%
1 8138
 
5.0%
면 6768
 
4.1%
- 6218
 
3.8%
길 5479
 
3.4%
2 5470
 
3.4%
로 4686
 
2.9%
Other values (304) 66703
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91261
55.9%
Decimal Number 37253
22.8%
Space Separator 28471
 
17.4%
Dash Punctuation 6218
 
3.8%
Other Punctuation 49
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 10568
 
11.6%
진 10423
 
11.4%
시 10328
 
11.3%
면 6768
 
7.4%
길 5479
 
6.0%
로 4686
 
5.1%
읍 2452
 
2.7%
송 2325
 
2.5%
대 1704
 
1.9%
덕 1512
 
1.7%
Other values (291) 35016
38.4%
Decimal Number
ValueCountFrequency (%)
1 8138
21.8%
2 5470
14.7%
3 4165
11.2%
4 3524
9.5%
5 3130
 
8.4%
6 2966
 
8.0%
7 2801
 
7.5%
8 2592
 
7.0%
9 2398
 
6.4%
0 2069
 
5.6%
Space Separator
ValueCountFrequency (%)
28471
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6218
100.0%
Other Punctuation
ValueCountFrequency (%)
. 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91261
55.9%
Common 71991
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 10568
 
11.6%
진 10423
 
11.4%
시 10328
 
11.3%
면 6768
 
7.4%
길 5479
 
6.0%
로 4686
 
5.1%
읍 2452
 
2.7%
송 2325
 
2.5%
대 1704
 
1.9%
덕 1512
 
1.7%
Other values (291) 35016
38.4%
Common
ValueCountFrequency (%)
28471
39.5%
1 8138
 
11.3%
- 6218
 
8.6%
2 5470
 
7.6%
3 4165
 
5.8%
4 3524
 
4.9%
5 3130
 
4.3%
6 2966
 
4.1%
7 2801
 
3.9%
8 2592
 
3.6%
Other values (3) 4516
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91261
55.9%
ASCII 71991
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28471
39.5%
1 8138
 
11.3%
- 6218
 
8.6%
2 5470
 
7.6%
3 4165
 
5.8%
4 3524
 
4.9%
5 3130
 
4.3%
6 2966
 
4.1%
7 2801
 
3.9%
8 2592
 
3.6%
Other values (3) 4516
 
6.3%
Hangul
ValueCountFrequency (%)
당 10568
 
11.6%
진 10423
 
11.4%
시 10328
 
11.3%
면 6768
 
7.4%
길 5479
 
6.0%
로 4686
 
5.1%
읍 2452
 
2.7%
송 2325
 
2.5%
대 1704
 
1.9%
덕 1512
 
1.7%
Other values (291) 35016
38.4%

Interactions

2023-12-12T21:15:10.625226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:07.183409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:08.018414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:08.748436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:09.369945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:10.022349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:10.717932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:07.308448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:08.153029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:08.831698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:09.477117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:10.115599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:10.815399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:07.444697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:08.263340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:08.939538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:09.596801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:10.210387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:10.904546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:07.581894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:08.361755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:09.040054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:09.701844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:10.307225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:11.041354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:07.710758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:08.489001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:09.146503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:09.801876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:10.408154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:11.155156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:07.852226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:08.637939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:09.260590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:09.913076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:15:10.509730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:15:15.868802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로명번호주건물번호부건물번호구우편주소경도위도
도로명번호1.0000.1850.1260.8070.8760.676
주건물번호0.1851.0000.0000.2980.2600.447
부건물번호0.1260.0001.0000.1060.1430.100
구우편주소0.8070.2980.1061.0000.8370.901
경도0.8760.2600.1430.8371.0000.717
위도0.6760.4470.1000.9010.7171.000
2023-12-12T21:15:15.990689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로명번호주건물번호부건물번호구우편주소경도위도
도로명번호1.0000.0500.0550.057-0.6310.246
주건물번호0.0501.0000.072-0.022-0.1240.082
부건물번호0.0550.0721.000-0.013-0.0730.031
구우편주소0.057-0.022-0.0131.000-0.019-0.720
경도-0.631-0.124-0.073-0.0191.000-0.441
위도0.2460.0820.031-0.720-0.4411.000

Missing values

2023-12-12T21:15:11.272377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:15:11.391824image/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

시군구번호도로명번호주건물번호부건물번호건물명구우편주소경도위도도로명주소
351814427039321070<NA>31743937062.571879603.64당진시 신평면 샛터길 107
2723044270176781216<NA>31803925225.431873422.94당진시 면천면 엄치길 121-6
65374427069381363백마장여관31812934886.051867932.93당진시 합덕읍 운산로 136-3
330324427040701610돈사31743938073.451877285.73당진시 신평면 샛터로 161
726144270196132010<NA>31815933056.051864781.79당진시 합덕읍 내동로 201
2904344270186413685<NA>31761927300.221870216.83당진시 순성면 가재골길 36-85
388894427038141289<NA>31714926981.171882365.08당진시 송산면 삼화길 28-9
3432544270438231200<NA>31744939484.531875615.33당진시 신평면 노장벌길 120
177324427021139770<NA>31792921263.481882901.27당진시 고대면 왁새길 77
28894427023638190종가집31785922068.711877162.84당진시 당진시장길 19
시군구번호도로명번호주건물번호부건물번호건물명구우편주소경도위도도로명주소
3514544270440494181<NA>31743937371.991878844.14당진시 신평면 샛터길 41-81
46404427020268419<NA>31766924268.561878359.73당진시 고실2길 41-9
1247344270364487976<NA>31725932468.481884202.2당진시 송악읍 계치길 79-76
141644270243563216협동슈퍼31777922268.351877281.78당진시 당진천2길 32-16
35907442708577268<NA>31747932894.51874890.47당진시 신평면 청금골길 26-8
248614427028587520열린와이드교회31800917195.831876417.78당진시 정미면 모색골길 52
206404427029454460<NA>31705915962.241889731.72당진시 석문면 방죽골길 46
18924442702983618140<NA>31700913777.271891295.62당진시 석문면 대호만로 1814
230264427032989660<NA>31798910260.071876407.02당진시 대호지면 원미길 66
26384442701622818229<NA>31806928054.751865799.9당진시 면천면 옥수로 182-29