Overview

Dataset statistics

Number of variables6
Number of observations1905
Missing cells547
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.3 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description참고 - 2019년 버스정류장 위치
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15069002

Alerts

연번 is highly overall correlated with 행정구역High correlation
행정구역 is highly overall correlated with 연번High correlation
위치 has 547 (28.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:20:05.005468
Analysis finished2023-12-10 23:20:05.988794
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1905
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean953
Minimum1
Maximum1905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2023-12-11T08:20:06.062974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile96.2
Q1477
median953
Q31429
95-th percentile1809.8
Maximum1905
Range1904
Interquartile range (IQR)952

Descriptive statistics

Standard deviation550.07045
Coefficient of variation (CV)0.57719879
Kurtosis-1.2
Mean953
Median Absolute Deviation (MAD)476
Skewness0
Sum1815465
Variance302577.5
MonotonicityStrictly increasing
2023-12-11T08:20:06.215100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1267 1
 
0.1%
1279 1
 
0.1%
1278 1
 
0.1%
1277 1
 
0.1%
1276 1
 
0.1%
1275 1
 
0.1%
1274 1
 
0.1%
1273 1
 
0.1%
1272 1
 
0.1%
Other values (1895) 1895
99.5%
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 (%)
1905 1
0.1%
1904 1
0.1%
1903 1
0.1%
1902 1
0.1%
1901 1
0.1%
1900 1
0.1%
1899 1
0.1%
1898 1
0.1%
1897 1
0.1%
1896 1
0.1%

행정구역
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
의창구
587 
마산합포구
486 
진해구
281 
마산회원구
278 
성산구
273 

Length

Max length5
Median length3
Mean length3.8020997
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의창구 587
30.8%
마산합포구 486
25.5%
진해구 281
14.8%
마산회원구 278
14.6%
성산구 273
14.3%

Length

2023-12-11T08:20:06.351854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:20:06.488172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의창구 587
30.8%
마산합포구 486
25.5%
진해구 281
14.8%
마산회원구 278
14.6%
성산구 273
14.3%

정류소ID
Text

Distinct1768
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
2023-12-11T08:20:06.788007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.9989501
Min length5

Characters and Unicode

Total characters13333
Distinct characters22
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

Unique1741 ?
Unique (%)91.4%

Sample

1st row4809282
2nd row4815312
3rd row4801352
4th row4803242
5th row4810672
ValueCountFrequency (%)
no 114
 
5.6%
code 114
 
5.6%
4805083 2
 
0.1%
4813510 2
 
0.1%
4807870 2
 
0.1%
4802772 2
 
0.1%
4814262 2
 
0.1%
4803953 2
 
0.1%
4823982 2
 
0.1%
4821882 2
 
0.1%
Other values (1758) 1775
87.9%
2023-12-11T08:20:07.246691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 2337
17.5%
8 2294
17.2%
0 1935
14.5%
2 1769
13.3%
1 1292
9.7%
3 841
 
6.3%
5 577
 
4.3%
6 506
 
3.8%
9 492
 
3.7%
7 487
 
3.7%
Other values (12) 803
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12530
94.0%
Lowercase Letter 566
 
4.2%
Uppercase Letter 118
 
0.9%
Space Separator 114
 
0.9%
Other Letter 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 2337
18.7%
8 2294
18.3%
0 1935
15.4%
2 1769
14.1%
1 1292
10.3%
3 841
 
6.7%
5 577
 
4.6%
6 506
 
4.0%
9 492
 
3.9%
7 487
 
3.9%
Other Letter
ValueCountFrequency (%)
정 1
20.0%
류 1
20.0%
장 1
20.0%
없 1
20.0%
음 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
o 224
39.6%
e 114
20.1%
d 114
20.1%
c 114
20.1%
Uppercase Letter
ValueCountFrequency (%)
N 114
96.6%
O 4
 
3.4%
Space Separator
ValueCountFrequency (%)
114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12644
94.8%
Latin 684
 
5.1%
Hangul 5
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
4 2337
18.5%
8 2294
18.1%
0 1935
15.3%
2 1769
14.0%
1 1292
10.2%
3 841
 
6.7%
5 577
 
4.6%
6 506
 
4.0%
9 492
 
3.9%
7 487
 
3.9%
Latin
ValueCountFrequency (%)
o 224
32.7%
N 114
16.7%
e 114
16.7%
d 114
16.7%
c 114
16.7%
O 4
 
0.6%
Hangul
ValueCountFrequency (%)
정 1
20.0%
류 1
20.0%
장 1
20.0%
없 1
20.0%
음 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13328
> 99.9%
Hangul 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 2337
17.5%
8 2294
17.2%
0 1935
14.5%
2 1769
13.3%
1 1292
9.7%
3 841
 
6.3%
5 577
 
4.3%
6 506
 
3.8%
9 492
 
3.7%
7 487
 
3.7%
Other values (7) 798
 
6.0%
Hangul
ValueCountFrequency (%)
정 1
20.0%
류 1
20.0%
장 1
20.0%
없 1
20.0%
음 1
20.0%

정류장명
Text

Distinct1125
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
2023-12-11T08:20:07.492165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length4.7506562
Min length2

Characters and Unicode

Total characters9050
Distinct characters410
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique425 ?
Unique (%)22.3%

Sample

1st row신촌삼거리
2nd row두산엔진
3rd row한국철강
4th row창곡입구
5th row세원셀론텍.영흥철강
ValueCountFrequency (%)
창원병원 5
 
0.3%
우성a 5
 
0.3%
남창원역 4
 
0.2%
봉곡마을 4
 
0.2%
농업기술센터 4
 
0.2%
예곡 4
 
0.2%
감나무골 4
 
0.2%
시민회관 4
 
0.2%
성산구청 4
 
0.2%
대방동종점 4
 
0.2%
Other values (1118) 1876
97.8%
2023-12-11T08:20:07.872363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 320
 
3.5%
마 287
 
3.2%
원 240
 
2.7%
구 230
 
2.5%
A 189
 
2.1%
교 189
 
2.1%
산 188
 
2.1%
을 181
 
2.0%
입 149
 
1.6%
리 148
 
1.6%
Other values (400) 6929
76.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8614
95.2%
Uppercase Letter 242
 
2.7%
Decimal Number 73
 
0.8%
Other Punctuation 60
 
0.7%
Close Punctuation 15
 
0.2%
Lowercase Letter 15
 
0.2%
Space Separator 14
 
0.2%
Open Punctuation 13
 
0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 320
 
3.7%
마 287
 
3.3%
원 240
 
2.8%
구 230
 
2.7%
교 189
 
2.2%
산 188
 
2.2%
을 181
 
2.1%
입 149
 
1.7%
리 148
 
1.7%
대 141
 
1.6%
Other values (370) 6541
75.9%
Uppercase Letter
ValueCountFrequency (%)
A 189
78.1%
S 14
 
5.8%
T 12
 
5.0%
X 11
 
4.5%
G 6
 
2.5%
L 4
 
1.7%
C 2
 
0.8%
M 1
 
0.4%
K 1
 
0.4%
E 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 24
32.9%
2 18
24.7%
3 15
20.5%
7 5
 
6.8%
5 5
 
6.8%
9 4
 
5.5%
6 2
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
k 5
33.3%
t 5
33.3%
g 2
 
13.3%
s 2
 
13.3%
n 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 56
93.3%
, 4
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8616
95.2%
Latin 257
 
2.8%
Common 177
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 320
 
3.7%
마 287
 
3.3%
원 240
 
2.8%
구 230
 
2.7%
교 189
 
2.2%
산 188
 
2.2%
을 181
 
2.1%
입 149
 
1.7%
리 148
 
1.7%
대 141
 
1.6%
Other values (371) 6543
75.9%
Latin
ValueCountFrequency (%)
A 189
73.5%
S 14
 
5.4%
T 12
 
4.7%
X 11
 
4.3%
G 6
 
2.3%
k 5
 
1.9%
t 5
 
1.9%
L 4
 
1.6%
C 2
 
0.8%
g 2
 
0.8%
Other values (6) 7
 
2.7%
Common
ValueCountFrequency (%)
. 56
31.6%
1 24
13.6%
2 18
 
10.2%
3 15
 
8.5%
) 15
 
8.5%
14
 
7.9%
( 13
 
7.3%
7 5
 
2.8%
5 5
 
2.8%
9 4
 
2.3%
Other values (3) 8
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8614
95.2%
ASCII 434
 
4.8%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 320
 
3.7%
마 287
 
3.3%
원 240
 
2.8%
구 230
 
2.7%
교 189
 
2.2%
산 188
 
2.2%
을 181
 
2.1%
입 149
 
1.7%
리 148
 
1.7%
대 141
 
1.6%
Other values (370) 6541
75.9%
ASCII
ValueCountFrequency (%)
A 189
43.5%
. 56
 
12.9%
1 24
 
5.5%
2 18
 
4.1%
3 15
 
3.5%
) 15
 
3.5%
S 14
 
3.2%
14
 
3.2%
( 13
 
3.0%
T 12
 
2.8%
Other values (19) 64
 
14.7%
None
ValueCountFrequency (%)
㈜ 2
100.0%

조사정류명
Text

Distinct1189
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
2023-12-11T08:20:08.142378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length4.7784777
Min length2

Characters and Unicode

Total characters9103
Distinct characters416
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

Unique590 ?
Unique (%)31.0%

Sample

1st row신촌삼거리
2nd row두산엔진
3rd row한국철강
4th row창곡입구
5th row세원셀론텍
ValueCountFrequency (%)
입구 33
 
1.6%
아파트 17
 
0.8%
종점 9
 
0.4%
후문 8
 
0.4%
예곡 7
 
0.3%
송정 7
 
0.3%
앞 7
 
0.3%
경화 7
 
0.3%
동전 6
 
0.3%
경남대학교 6
 
0.3%
Other values (1210) 2010
94.9%
2023-12-11T08:20:08.532824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 304
 
3.3%
241
 
2.6%
아 234
 
2.6%
파 226
 
2.5%
트 216
 
2.4%
마 209
 
2.3%
원 206
 
2.3%
교 199
 
2.2%
산 182
 
2.0%
구 174
 
1.9%
Other values (406) 6912
75.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8609
94.6%
Space Separator 241
 
2.6%
Uppercase Letter 78
 
0.9%
Decimal Number 61
 
0.7%
Open Punctuation 44
 
0.5%
Close Punctuation 44
 
0.5%
Other Punctuation 21
 
0.2%
Dash Punctuation 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 304
 
3.5%
아 234
 
2.7%
파 226
 
2.6%
트 216
 
2.5%
마 209
 
2.4%
원 206
 
2.4%
교 199
 
2.3%
산 182
 
2.1%
구 174
 
2.0%
대 131
 
1.5%
Other values (377) 6528
75.8%
Uppercase Letter
ValueCountFrequency (%)
S 20
25.6%
T 19
24.4%
X 11
14.1%
K 8
 
10.3%
G 7
 
9.0%
B 3
 
3.8%
L 3
 
3.8%
C 2
 
2.6%
D 2
 
2.6%
N 1
 
1.3%
Other values (2) 2
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 20
32.8%
3 16
26.2%
2 15
24.6%
5 4
 
6.6%
9 2
 
3.3%
7 2
 
3.3%
6 2
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 12
57.1%
/ 5
23.8%
. 2
 
9.5%
& 1
 
4.8%
: 1
 
4.8%
Space Separator
ValueCountFrequency (%)
241
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8610
94.6%
Common 415
 
4.6%
Latin 78
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 304
 
3.5%
아 234
 
2.7%
파 226
 
2.6%
트 216
 
2.5%
마 209
 
2.4%
원 206
 
2.4%
교 199
 
2.3%
산 182
 
2.1%
구 174
 
2.0%
대 131
 
1.5%
Other values (378) 6529
75.8%
Common
ValueCountFrequency (%)
241
58.1%
( 44
 
10.6%
) 44
 
10.6%
1 20
 
4.8%
3 16
 
3.9%
2 15
 
3.6%
, 12
 
2.9%
/ 5
 
1.2%
- 4
 
1.0%
5 4
 
1.0%
Other values (6) 10
 
2.4%
Latin
ValueCountFrequency (%)
S 20
25.6%
T 19
24.4%
X 11
14.1%
K 8
 
10.3%
G 7
 
9.0%
B 3
 
3.8%
L 3
 
3.8%
C 2
 
2.6%
D 2
 
2.6%
N 1
 
1.3%
Other values (2) 2
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8609
94.6%
ASCII 493
 
5.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 304
 
3.5%
아 234
 
2.7%
파 226
 
2.6%
트 216
 
2.5%
마 209
 
2.4%
원 206
 
2.4%
교 199
 
2.3%
산 182
 
2.1%
구 174
 
2.0%
대 131
 
1.5%
Other values (377) 6528
75.8%
ASCII
ValueCountFrequency (%)
241
48.9%
( 44
 
8.9%
) 44
 
8.9%
S 20
 
4.1%
1 20
 
4.1%
T 19
 
3.9%
3 16
 
3.2%
2 15
 
3.0%
, 12
 
2.4%
X 11
 
2.2%
Other values (18) 51
 
10.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

위치
Text

MISSING 

Distinct1195
Distinct (%)88.0%
Missing547
Missing (%)28.7%
Memory size15.0 KiB
2023-12-11T08:20:09.046644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length7.0132548
Min length2

Characters and Unicode

Total characters9524
Distinct characters519
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1061 ?
Unique (%)78.1%

Sample

1st rowGS주유소앞
2nd rowPK밸브앞
3rd row한국철강 건너편
4th rowHSG중공업 옆
5th row영흥철강 맞은편
ValueCountFrequency (%)
앞 503
 
21.1%
건너편 134
 
5.6%
입구 48
 
2.0%
옆 21
 
0.9%
맞은편 20
 
0.8%
아파트 15
 
0.6%
종점 14
 
0.6%
65번으로 8
 
0.3%
밑 8
 
0.3%
gs주유소 7
 
0.3%
Other values (1227) 1603
67.3%
2023-12-11T08:20:09.512424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1038
 
10.9%
앞 662
 
7.0%
편 197
 
2.1%
트 189
 
2.0%
아 183
 
1.9%
건 174
 
1.8%
파 171
 
1.8%
너 165
 
1.7%
동 160
 
1.7%
원 152
 
1.6%
Other values (509) 6433
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7947
83.4%
Space Separator 1038
 
10.9%
Uppercase Letter 196
 
2.1%
Open Punctuation 111
 
1.2%
Close Punctuation 111
 
1.2%
Decimal Number 93
 
1.0%
Other Punctuation 13
 
0.1%
Other Symbol 10
 
0.1%
Dash Punctuation 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 662
 
8.3%
편 197
 
2.5%
트 189
 
2.4%
아 183
 
2.3%
건 174
 
2.2%
파 171
 
2.2%
너 165
 
2.1%
동 160
 
2.0%
원 152
 
1.9%
마 138
 
1.7%
Other values (468) 5756
72.4%
Uppercase Letter
ValueCountFrequency (%)
S 56
28.6%
G 34
17.3%
T 27
13.8%
K 16
 
8.2%
C 11
 
5.6%
P 8
 
4.1%
L 7
 
3.6%
A 5
 
2.6%
N 5
 
2.6%
D 4
 
2.0%
Other values (10) 23
11.7%
Decimal Number
ValueCountFrequency (%)
2 22
23.7%
5 17
18.3%
1 12
12.9%
6 10
10.8%
3 10
10.8%
0 7
 
7.5%
4 6
 
6.5%
7 5
 
5.4%
9 2
 
2.2%
8 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 6
46.2%
& 3
23.1%
/ 3
23.1%
. 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
1038
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7957
83.5%
Common 1369
 
14.4%
Latin 198
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 662
 
8.3%
편 197
 
2.5%
트 189
 
2.4%
아 183
 
2.3%
건 174
 
2.2%
파 171
 
2.1%
너 165
 
2.1%
동 160
 
2.0%
원 152
 
1.9%
마 138
 
1.7%
Other values (469) 5766
72.5%
Latin
ValueCountFrequency (%)
S 56
28.3%
G 34
17.2%
T 27
13.6%
K 16
 
8.1%
C 11
 
5.6%
P 8
 
4.0%
L 7
 
3.5%
A 5
 
2.5%
N 5
 
2.5%
D 4
 
2.0%
Other values (12) 25
12.6%
Common
ValueCountFrequency (%)
1038
75.8%
( 111
 
8.1%
) 111
 
8.1%
2 22
 
1.6%
5 17
 
1.2%
1 12
 
0.9%
6 10
 
0.7%
3 10
 
0.7%
0 7
 
0.5%
4 6
 
0.4%
Other values (8) 25
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7947
83.4%
ASCII 1567
 
16.5%
None 10
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1038
66.2%
( 111
 
7.1%
) 111
 
7.1%
S 56
 
3.6%
G 34
 
2.2%
T 27
 
1.7%
2 22
 
1.4%
5 17
 
1.1%
K 16
 
1.0%
1 12
 
0.8%
Other values (30) 123
 
7.8%
Hangul
ValueCountFrequency (%)
앞 662
 
8.3%
편 197
 
2.5%
트 189
 
2.4%
아 183
 
2.3%
건 174
 
2.2%
파 171
 
2.2%
너 165
 
2.1%
동 160
 
2.0%
원 152
 
1.9%
마 138
 
1.7%
Other values (468) 5756
72.4%
None
ValueCountFrequency (%)
㈜ 10
100.0%

Interactions

2023-12-11T08:20:05.677884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:20:09.607448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정구역
연번1.0000.891
행정구역0.8911.000
2023-12-11T08:20:09.696874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정구역
연번1.0000.574
행정구역0.5741.000

Missing values

2023-12-11T08:20:05.816007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:20:05.944054image/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

연번행정구역정류소ID정류장명조사정류명위치
01성산구4809282신촌삼거리신촌삼거리GS주유소앞
12성산구4815312두산엔진두산엔진PK밸브앞
23성산구4801352한국철강한국철강한국철강 건너편
34성산구4803242창곡입구창곡입구HSG중공업 옆
45성산구4810672세원셀론텍.영흥철강세원셀론텍영흥철강 맞은편
56성산구4824072대동정밀대동정밀㈜에스에이테크 앞
67성산구No code평화정밀평화정밀평화정밀 앞
78성산구4816662대원기전대원기전대원기전 앞
89성산구4824082신세계특수강신세계특수강케이에스티㈜ 앞
910성산구4800202화천기전화천기전화천기전 앞
연번행정구역정류소ID정류장명조사정류명위치
18951896진해구4824463원창시인의마을원창시인의마을현대슈퍼 앞
18961897진해구4824473중앙초교후문중앙초교후문<NA>
18971898마산회원구4800980한주A한주아파트한주아파트
18981899마산회원구4809160아랫구슬골아래구슬골아래구슬골
18991900의창구4810232송정종점송정<NA>
19001901의창구4807262용잠.동읍사무소용잠<NA>
19011902마산합포구4806510원전마을종점원전마을종점(조사에서빠짐)표준 폴대형과 최대폭 박스디자인(규격 시공시 측정)
19021903의창구4813252본포본포폴대 재구분
19031904마산합포구4822930학동마을회관학동학동
19041905마산합포구4803780중촌마을중촌중촌