Overview

Dataset statistics

Number of variables11
Number of observations617
Missing cells322
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory55.0 KiB
Average record size in memory91.2 B

Variable types

Numeric3
Text4
Categorical4

Alerts

last_load_dttm has constant value ""Constant
s_gubun is highly overall correlated with s_codeHigh correlation
s_code is highly overall correlated with s_gubunHigh correlation
x is highly overall correlated with departHigh correlation
y is highly overall correlated with departHigh correlation
depart is highly overall correlated with x and 1 other fieldsHigh correlation
x has 161 (26.1%) missing valuesMissing
y has 161 (26.1%) missing valuesMissing
num has unique valuesUnique
mem has unique valuesUnique

Reproduction

Analysis started2024-04-17 02:22:53.456076
Analysis finished2024-04-17 02:22:55.104581
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

num
Real number (ℝ)

UNIQUE 

Distinct617
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309
Minimum1
Maximum617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-04-17T11:22:55.159152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile31.8
Q1155
median309
Q3463
95-th percentile586.2
Maximum617
Range616
Interquartile range (IQR)308

Descriptive statistics

Standard deviation178.25684
Coefficient of variation (CV)0.57688297
Kurtosis-1.2
Mean309
Median Absolute Deviation (MAD)154
Skewness0
Sum190653
Variance31775.5
MonotonicityNot monotonic
2024-04-17T11:22:55.272403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
564 1
 
0.2%
160 1
 
0.2%
253 1
 
0.2%
254 1
 
0.2%
155 1
 
0.2%
156 1
 
0.2%
157 1
 
0.2%
158 1
 
0.2%
159 1
 
0.2%
161 1
 
0.2%
Other values (607) 607
98.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
617 1
0.2%
616 1
0.2%
615 1
0.2%
614 1
0.2%
613 1
0.2%
612 1
0.2%
611 1
0.2%
610 1
0.2%
609 1
0.2%
608 1
0.2%

name
Text

Distinct606
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-04-17T11:22:55.448385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length8.7925446
Min length2

Characters and Unicode

Total characters5425
Distinct characters401
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique597 ?
Unique (%)96.8%

Sample

1st row플로리시언어&상담센터
2nd row피아니스트노부스
3rd row하단창의숲
4th row하담아동발달센터
5th row하엘아동발달센터
ValueCountFrequency (%)
심리상담센터 6
 
0.8%
다온 5
 
0.7%
평생교육원 4
 
0.5%
펀펀짐 4
 
0.5%
안마원 3
 
0.4%
안마지압원 3
 
0.4%
사단법인 3
 
0.4%
주식회사 3
 
0.4%
사회서비스센터 3
 
0.4%
봄소리 3
 
0.4%
Other values (667) 695
94.9%
2024-04-17T11:22:55.772840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 259
 
4.8%
센 257
 
4.7%
리 157
 
2.9%
지 156
 
2.9%
원 136
 
2.5%
115
 
2.1%
아 111
 
2.0%
심 110
 
2.0%
마 106
 
2.0%
사 104
 
1.9%
Other values (391) 3914
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5191
95.7%
Space Separator 115
 
2.1%
Uppercase Letter 39
 
0.7%
Open Punctuation 26
 
0.5%
Close Punctuation 26
 
0.5%
Decimal Number 13
 
0.2%
Lowercase Letter 11
 
0.2%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 259
 
5.0%
센 257
 
5.0%
리 157
 
3.0%
지 156
 
3.0%
원 136
 
2.6%
아 111
 
2.1%
심 110
 
2.1%
마 106
 
2.0%
사 104
 
2.0%
상 95
 
1.8%
Other values (355) 3700
71.3%
Uppercase Letter
ValueCountFrequency (%)
I 6
15.4%
A 4
10.3%
M 4
10.3%
S 4
10.3%
K 3
7.7%
T 3
7.7%
C 3
7.7%
E 2
 
5.1%
P 2
 
5.1%
B 2
 
5.1%
Other values (5) 6
15.4%
Decimal Number
ValueCountFrequency (%)
1 6
46.2%
9 3
23.1%
4 1
 
7.7%
5 1
 
7.7%
7 1
 
7.7%
3 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
i 3
27.3%
e 3
27.3%
h 2
18.2%
d 1
 
9.1%
n 1
 
9.1%
t 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 1
25.0%
· 1
25.0%
: 1
25.0%
/ 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 25
96.2%
[ 1
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 25
96.2%
] 1
 
3.8%
Space Separator
ValueCountFrequency (%)
115
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5191
95.7%
Common 184
 
3.4%
Latin 50
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 259
 
5.0%
센 257
 
5.0%
리 157
 
3.0%
지 156
 
3.0%
원 136
 
2.6%
아 111
 
2.1%
심 110
 
2.1%
마 106
 
2.0%
사 104
 
2.0%
상 95
 
1.8%
Other values (355) 3700
71.3%
Latin
ValueCountFrequency (%)
I 6
 
12.0%
A 4
 
8.0%
M 4
 
8.0%
S 4
 
8.0%
K 3
 
6.0%
T 3
 
6.0%
C 3
 
6.0%
i 3
 
6.0%
e 3
 
6.0%
E 2
 
4.0%
Other values (11) 15
30.0%
Common
ValueCountFrequency (%)
115
62.5%
( 25
 
13.6%
) 25
 
13.6%
1 6
 
3.3%
9 3
 
1.6%
4 1
 
0.5%
5 1
 
0.5%
7 1
 
0.5%
& 1
 
0.5%
3 1
 
0.5%
Other values (5) 5
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5191
95.7%
ASCII 233
 
4.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 259
 
5.0%
센 257
 
5.0%
리 157
 
3.0%
지 156
 
3.0%
원 136
 
2.6%
아 111
 
2.1%
심 110
 
2.1%
마 106
 
2.0%
사 104
 
2.0%
상 95
 
1.8%
Other values (355) 3700
71.3%
ASCII
ValueCountFrequency (%)
115
49.4%
( 25
 
10.7%
) 25
 
10.7%
1 6
 
2.6%
I 6
 
2.6%
A 4
 
1.7%
M 4
 
1.7%
S 4
 
1.7%
K 3
 
1.3%
9 3
 
1.3%
Other values (25) 38
 
16.3%
None
ValueCountFrequency (%)
· 1
100.0%

mem
Text

UNIQUE 

Distinct617
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-04-17T11:22:56.018343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters3085
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique617 ?
Unique (%)100.0%

Sample

1st rowk0738
2nd rowk1091
3rd rowk0525
4th rowk0697
5th rowk0130
ValueCountFrequency (%)
k0738 1
 
0.2%
k1059 1
 
0.2%
k0757 1
 
0.2%
k0193 1
 
0.2%
k0440 1
 
0.2%
k0609 1
 
0.2%
k0016 1
 
0.2%
k0152 1
 
0.2%
k0141 1
 
0.2%
k0246 1
 
0.2%
Other values (607) 607
98.4%
2024-04-17T11:22:56.351191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 765
24.8%
k 617
20.0%
1 258
 
8.4%
7 195
 
6.3%
9 192
 
6.2%
5 188
 
6.1%
8 183
 
5.9%
4 178
 
5.8%
6 176
 
5.7%
2 175
 
5.7%
Other values (2) 158
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2467
80.0%
Lowercase Letter 618
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 765
31.0%
1 258
 
10.5%
7 195
 
7.9%
9 192
 
7.8%
5 188
 
7.6%
8 183
 
7.4%
4 178
 
7.2%
6 176
 
7.1%
2 175
 
7.1%
3 157
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
k 617
99.8%
o 1
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 2467
80.0%
Latin 618
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 765
31.0%
1 258
 
10.5%
7 195
 
7.9%
9 192
 
7.8%
5 188
 
7.6%
8 183
 
7.4%
4 178
 
7.2%
6 176
 
7.1%
2 175
 
7.1%
3 157
 
6.4%
Latin
ValueCountFrequency (%)
k 617
99.8%
o 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3085
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 765
24.8%
k 617
20.0%
1 258
 
8.4%
7 195
 
6.3%
9 192
 
6.2%
5 188
 
6.1%
8 183
 
5.9%
4 178
 
5.8%
6 176
 
5.7%
2 175
 
5.7%
Other values (2) 158
 
5.1%

x
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct431
Distinct (%)94.5%
Missing161
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean129.06382
Minimum128.8425
Maximum129.2352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-04-17T11:22:56.466644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.8425
5-th percentile128.92577
Q1129.01714
median129.07486
Q3129.10538
95-th percentile129.17491
Maximum129.2352
Range0.39270566
Interquartile range (IQR)0.088241934

Descriptive statistics

Standard deviation0.06659634
Coefficient of variation (CV)0.00051599543
Kurtosis0.22323231
Mean129.06382
Median Absolute Deviation (MAD)0.039748025
Skewness-0.30741578
Sum58853.101
Variance0.0044350725
MonotonicityNot monotonic
2024-04-17T11:22:56.579043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.92208896606314 3
 
0.5%
128.90405175182016 3
 
0.5%
129.10062174337517 2
 
0.3%
129.12563160306308 2
 
0.3%
128.978056746847 2
 
0.3%
129.08127824526937 2
 
0.3%
128.95718633868145 2
 
0.3%
129.093614415887 2
 
0.3%
128.99773551465938 2
 
0.3%
129.0819369212046 2
 
0.3%
Other values (421) 434
70.3%
(Missing) 161
 
26.1%
ValueCountFrequency (%)
128.84249551729528 1
 
0.2%
128.87781291076843 1
 
0.2%
128.8973623855151 1
 
0.2%
128.9016895641785 1
 
0.2%
128.90298405919896 1
 
0.2%
128.90327256280196 1
 
0.2%
128.90405175182016 3
0.5%
128.9041939520144 1
 
0.2%
128.909237606778 1
 
0.2%
128.9178877245894 1
 
0.2%
ValueCountFrequency (%)
129.2352011778335 1
0.2%
129.2178933534697 1
0.2%
129.2169575291174 1
0.2%
129.21680184350737 1
0.2%
129.21627777733863 1
0.2%
129.21564245705255 1
0.2%
129.21528504388652 1
0.2%
129.2125827751153 1
0.2%
129.19705513883454 1
0.2%
129.18988737749115 1
0.2%

y
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct431
Distinct (%)94.5%
Missing161
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean35.171937
Minimum35.051022
Maximum35.33581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-04-17T11:22:56.687412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.051022
5-th percentile35.088529
Q135.135486
median35.171797
Q335.204002
95-th percentile35.259442
Maximum35.33581
Range0.28478842
Interquartile range (IQR)0.068515914

Descriptive statistics

Standard deviation0.055603975
Coefficient of variation (CV)0.0015809188
Kurtosis0.30874228
Mean35.171937
Median Absolute Deviation (MAD)0.033748748
Skewness0.43562547
Sum16038.403
Variance0.0030918021
MonotonicityNot monotonic
2024-04-17T11:22:56.790418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.09751481338803 3
 
0.5%
35.07990528476568 3
 
0.5%
35.13697860996388 2
 
0.3%
35.185471106138166 2
 
0.3%
35.1014662142321 2
 
0.3%
35.20547596521364 2
 
0.3%
35.0997143828983 2
 
0.3%
35.1224973584867 2
 
0.3%
35.17204089228031 2
 
0.3%
35.11386736836266 2
 
0.3%
Other values (421) 434
70.3%
(Missing) 161
 
26.1%
ValueCountFrequency (%)
35.051021908881125 1
 
0.2%
35.05645947208821 1
 
0.2%
35.06177145514268 1
 
0.2%
35.06199868213317 1
 
0.2%
35.06802278256082 1
 
0.2%
35.073083582942054 1
 
0.2%
35.07599639621529 1
 
0.2%
35.07990528476568 3
0.5%
35.0799666865452 1
 
0.2%
35.08012486245978 1
 
0.2%
ValueCountFrequency (%)
35.335810326089494 1
0.2%
35.335775777496536 1
0.2%
35.334493914407105 1
0.2%
35.32943691648715 1
0.2%
35.32655607038338 1
0.2%
35.3265546193691 1
0.2%
35.32635995230407 1
0.2%
35.325667061210574 1
0.2%
35.3224841048583 1
0.2%
35.32195584562486 1
0.2%

tel
Text

Distinct611
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-04-17T11:22:56.994838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.074554
Min length12

Characters and Unicode

Total characters7450
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

Unique606 ?
Unique (%)98.2%

Sample

1st row051-758-7942
2nd row010-5575-1524
3rd row051-201-5459
4th row051-201-0075
5th row051-337-7562
ValueCountFrequency (%)
051-208-1110 3
 
0.5%
051-711-0137 2
 
0.3%
051-513-9066 2
 
0.3%
051-515-7200 2
 
0.3%
051-343-5685 2
 
0.3%
051-747-9535 1
 
0.2%
051-758-7942 1
 
0.2%
051-504-6200 1
 
0.2%
051-752-7502 1
 
0.2%
051-531-2460 1
 
0.2%
Other values (601) 601
97.4%
2024-04-17T11:22:57.295664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1234
16.6%
0 1144
15.4%
5 1134
15.2%
1 990
13.3%
7 530
7.1%
2 522
7.0%
3 456
 
6.1%
6 393
 
5.3%
8 379
 
5.1%
4 344
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6216
83.4%
Dash Punctuation 1234
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1144
18.4%
5 1134
18.2%
1 990
15.9%
7 530
8.5%
2 522
8.4%
3 456
 
7.3%
6 393
 
6.3%
8 379
 
6.1%
4 344
 
5.5%
9 324
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 1234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7450
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1234
16.6%
0 1144
15.4%
5 1134
15.2%
1 990
13.3%
7 530
7.1%
2 522
7.0%
3 456
 
6.1%
6 393
 
5.3%
8 379
 
5.1%
4 344
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1234
16.6%
0 1144
15.4%
5 1134
15.2%
1 990
13.3%
7 530
7.1%
2 522
7.0%
3 456
 
6.1%
6 393
 
5.3%
8 379
 
5.1%
4 344
 
4.6%

addr
Text

Distinct614
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-04-17T11:22:57.565870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length47
Mean length32.614263
Min length16

Characters and Unicode

Total characters20123
Distinct characters374
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique611 ?
Unique (%)99.0%

Sample

1st row부산광역시 수영구 망미번영로52번길 59 (수영동)
2nd row부산광역시 서구 대티로 159 (서대신동3가 협성르네상스. 117-306)
3rd row부산광역시 사하구 하신번영로 326 2층 (하단동)
4th row부산광역시 사하구 낙동대로 271 105호 (괴정동 신동양상가)
5th row부산광역시 북구 덕천동 만덕대로 126 흥산빌딜 6층
ValueCountFrequency (%)
부산광역시 588
 
14.9%
2층 94
 
2.4%
3층 77
 
1.9%
해운대구 74
 
1.9%
북구 59
 
1.5%
동래구 53
 
1.3%
4층 53
 
1.3%
부산진구 53
 
1.3%
연제구 51
 
1.3%
남구 46
 
1.2%
Other values (1304) 2807
71.0%
2024-04-17T11:22:57.938090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3956
 
19.7%
동 761
 
3.8%
산 740
 
3.7%
부 717
 
3.6%
1 652
 
3.2%
시 641
 
3.2%
구 629
 
3.1%
광 623
 
3.1%
역 590
 
2.9%
로 560
 
2.8%
Other values (364) 10254
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11669
58.0%
Space Separator 3956
 
19.7%
Decimal Number 3316
 
16.5%
Open Punctuation 518
 
2.6%
Close Punctuation 516
 
2.6%
Dash Punctuation 102
 
0.5%
Uppercase Letter 33
 
0.2%
Control 7
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 761
 
6.5%
산 740
 
6.3%
부 717
 
6.1%
시 641
 
5.5%
구 629
 
5.4%
광 623
 
5.3%
역 590
 
5.1%
로 560
 
4.8%
층 332
 
2.8%
대 315
 
2.7%
Other values (332) 5761
49.4%
Uppercase Letter
ValueCountFrequency (%)
B 7
21.2%
A 5
15.2%
S 4
12.1%
K 4
12.1%
C 3
9.1%
T 3
9.1%
M 2
 
6.1%
I 2
 
6.1%
P 1
 
3.0%
Y 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 652
19.7%
2 536
16.2%
3 423
12.8%
0 385
11.6%
4 349
10.5%
5 268
8.1%
6 188
 
5.7%
7 181
 
5.5%
8 171
 
5.2%
9 163
 
4.9%
Open Punctuation
ValueCountFrequency (%)
( 517
99.8%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 515
99.8%
] 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
/ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
3956
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Control
ValueCountFrequency (%)
7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11669
58.0%
Common 8420
41.8%
Latin 34
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 761
 
6.5%
산 740
 
6.3%
부 717
 
6.1%
시 641
 
5.5%
구 629
 
5.4%
광 623
 
5.3%
역 590
 
5.1%
로 560
 
4.8%
층 332
 
2.8%
대 315
 
2.7%
Other values (332) 5761
49.4%
Common
ValueCountFrequency (%)
3956
47.0%
1 652
 
7.7%
2 536
 
6.4%
( 517
 
6.1%
) 515
 
6.1%
3 423
 
5.0%
0 385
 
4.6%
4 349
 
4.1%
5 268
 
3.2%
6 188
 
2.2%
Other values (10) 631
 
7.5%
Latin
ValueCountFrequency (%)
B 7
20.6%
A 5
14.7%
S 4
11.8%
K 4
11.8%
C 3
8.8%
T 3
8.8%
M 2
 
5.9%
I 2
 
5.9%
P 1
 
2.9%
Y 1
 
2.9%
Other values (2) 2
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11669
58.0%
ASCII 8454
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3956
46.8%
1 652
 
7.7%
2 536
 
6.3%
( 517
 
6.1%
) 515
 
6.1%
3 423
 
5.0%
0 385
 
4.6%
4 349
 
4.1%
5 268
 
3.2%
6 188
 
2.2%
Other values (22) 665
 
7.9%
Hangul
ValueCountFrequency (%)
동 761
 
6.5%
산 740
 
6.3%
부 717
 
6.1%
시 641
 
5.5%
구 629
 
5.4%
광 623
 
5.3%
역 590
 
5.1%
로 560
 
4.8%
층 332
 
2.8%
대 315
 
2.7%
Other values (332) 5761
49.4%

depart
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
해운대구
74 
북구
58 
동래구
53 
부산진구
52 
연제구
51 
Other values (11)
329 

Length

Max length4
Median length3
Mean length2.9594814
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수영구
2nd row서구
3rd row사하구
4th row사하구
5th row북구

Common Values

ValueCountFrequency (%)
해운대구 74
12.0%
북구 58
9.4%
동래구 53
8.6%
부산진구 52
8.4%
연제구 51
8.3%
남구 46
 
7.5%
사하구 43
 
7.0%
금정구 41
 
6.6%
수영구 39
 
6.3%
사상구 34
 
5.5%
Other values (6) 126
20.4%

Length

2024-04-17T11:22:58.056066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해운대구 74
12.0%
북구 58
9.4%
동래구 53
8.6%
부산진구 52
8.4%
연제구 51
8.3%
남구 46
 
7.5%
사하구 43
 
7.0%
금정구 41
 
6.6%
수영구 39
 
6.3%
사상구 34
 
5.5%
Other values (6) 126
20.4%

s_gubun
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
청소년아동,
343 
노인,
128 
성인가족,
48 
아동,
39 
<NA>
36 
Other values (5)
 
23

Length

Max length9
Median length6
Mean length5.0275527
Min length3

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row아동성인가족,
2nd row노인,
3rd row청소년아동,
4th row청소년아동,
5th row청소년아동,

Common Values

ValueCountFrequency (%)
청소년아동, 343
55.6%
노인, 128
 
20.7%
성인가족, 48
 
7.8%
아동, 39
 
6.3%
<NA> 36
 
5.8%
아동성인가족, 17
 
2.8%
청소년아동장애인, 3
 
0.5%
청소년성인, 1
 
0.2%
성인, 1
 
0.2%
장애인, 1
 
0.2%

Length

2024-04-17T11:22:58.166067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T11:22:58.259607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년아동 343
55.6%
노인 128
 
20.7%
성인가족 48
 
7.8%
아동 39
 
6.3%
na 36
 
5.8%
아동성인가족 17
 
2.8%
청소년아동장애인 3
 
0.5%
청소년성인 1
 
0.2%
성인 1
 
0.2%
장애인 1
 
0.2%

s_code
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
아동청소년심리치유서비스(우리아이가달라졌어요!)
298 
시각장애인 안마서비스
91 
산모신생아 건강관리 지원사업
42 
아동건강관리서비스
39 
동화야 놀~자(스토리텔링)
 
26
Other values (16)
121 

Length

Max length26
Median length25
Mean length19.019449
Min length7

Unique

Unique6 ?
Unique (%)1.0%

Sample

1st row부모-자녀 상호작용증진서비스
2nd row뇌에 기(氣)가 팍팍
3rd row아동청소년심리치유서비스(우리아이가달라졌어요!)
4th row아동청소년심리치유서비스(우리아이가달라졌어요!)
5th row아동청소년심리치유서비스(우리아이가달라졌어요!)

Common Values

ValueCountFrequency (%)
아동청소년심리치유서비스(우리아이가달라졌어요!) 298
48.3%
시각장애인 안마서비스 91
 
14.7%
산모신생아 건강관리 지원사업 42
 
6.8%
아동건강관리서비스 39
 
6.3%
동화야 놀~자(스토리텔링) 26
 
4.2%
노인맞춤형 운동서비스(내나이가 어때서) 25
 
4.1%
가사간병 방문 지원사업 24
 
3.9%
부모-자녀 상호작용증진서비스 17
 
2.8%
뇌에 기(氣)가 팍팍 11
 
1.8%
아동정서발달지원서비스 9
 
1.5%
Other values (11) 35
 
5.7%

Length

2024-04-17T11:22:58.371572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아동청소년심리치유서비스(우리아이가달라졌어요 298
28.9%
안마서비스 91
 
8.8%
시각장애인 91
 
8.8%
지원사업 66
 
6.4%
산모신생아 42
 
4.1%
건강관리 42
 
4.1%
아동건강관리서비스 39
 
3.8%
동화야 26
 
2.5%
놀~자(스토리텔링 26
 
2.5%
노인맞춤형 25
 
2.4%
Other values (42) 286
27.7%

last_load_dttm
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2020-12-22 14:27:58
617 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-22 14:27:58
2nd row2020-12-22 14:27:58
3rd row2020-12-22 14:27:58
4th row2020-12-22 14:27:58
5th row2020-12-22 14:27:58

Common Values

ValueCountFrequency (%)
2020-12-22 14:27:58 617
100.0%

Length

2024-04-17T11:22:58.466978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T11:22:58.540333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-22 617
50.0%
14:27:58 617
50.0%

Interactions

2024-04-17T11:22:54.617970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:54.084284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:54.374463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:54.686259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:54.194815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:54.463376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:54.768879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:54.305320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T11:22:54.541022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T11:22:58.586694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
numxydeparts_gubuns_code
num1.0000.2890.0990.1640.1280.200
x0.2891.0000.6580.9000.1510.000
y0.0990.6581.0000.8960.1710.241
depart0.1640.9000.8961.0000.4720.482
s_gubun0.1280.1510.1710.4721.0001.000
s_code0.2000.0000.2410.4821.0001.000
2024-04-17T11:22:58.663856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
departs_gubuns_code
depart1.0000.2140.167
s_gubun0.2141.0000.992
s_code0.1670.9921.000
2024-04-17T11:22:58.732825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
numxydeparts_gubuns_code
num1.0000.0280.0010.0640.0580.074
x0.0281.0000.4780.6430.0860.034
y0.0010.4781.0000.6520.0900.095
depart0.0640.6430.6521.0000.2140.167
s_gubun0.0580.0860.0900.2141.0000.992
s_code0.0740.0340.0950.1670.9921.000

Missing values

2024-04-17T11:22:54.864147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T11:22:54.979320image/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.
2024-04-17T11:22:55.062428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

numnamememxyteladdrdeparts_gubuns_codelast_load_dttm
0564플로리시언어&상담센터k0738129.11211535.170273051-758-7942부산광역시 수영구 망미번영로52번길 59 (수영동)수영구아동성인가족,부모-자녀 상호작용증진서비스2020-12-22 14:27:58
1565피아니스트노부스k1091129.01053835.113097010-5575-1524부산광역시 서구 대티로 159 (서대신동3가 협성르네상스. 117-306)서구노인,뇌에 기(氣)가 팍팍2020-12-22 14:27:58
2566하단창의숲k0525128.95921835.109998051-201-5459부산광역시 사하구 하신번영로 326 2층 (하단동)사하구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2020-12-22 14:27:58
3567하담아동발달센터k0697<NA><NA>051-201-0075부산광역시 사하구 낙동대로 271 105호 (괴정동 신동양상가)사하구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2020-12-22 14:27:58
4568하엘아동발달센터k0130<NA><NA>051-337-7562부산광역시 북구 덕천동 만덕대로 126 흥산빌딜 6층북구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2020-12-22 14:27:58
5569하은언어심리센터k0714129.17508935.321348051-722-6003부산광역시 기장군 정관읍 정관로 560 4층 401호기장군청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2020-12-22 14:27:58
6570하은언어심리센터k0974129.06028335.152321051-995-6003부산광역시 부산진구 중앙대로666번길 17 6층 (부전동 시연빌딩)부산진구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2020-12-22 14:27:58
7571하이브레인k0975129.14652435.167177051-731-7001부산광역시 해운대구 해운대로469번가길 91 상가동 1011호 (우동 센텀마리나아파트)해운대구노인,뇌에 기(氣)가 팍팍2020-12-22 14:27:58
8572학장종합사회복지관k0011<NA><NA>051-312-4017부산광역시 사상구 학장동 168-7 사회복지법인 부산생명의전화사상구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2020-12-22 14:27:58
9573한국예술심리평생교육원k0501129.03512535.211808051-314-4302부산광역시 북구 덕천로259번길 30 만덕동 108-302 (만덕동 대성종합상가)북구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2020-12-22 14:27:58
numnamememxyteladdrdeparts_gubuns_codelast_load_dttm
60746구서첨단인지브레인k0537129.08791535.25366051-515-5689부산광역시 금정구 금강로 518 2층 (구서동)금정구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2020-12-22 14:27:58
60847국민복지재단 국민사회서비스지원단k0183129.10295535.200001051-743-0031부산광역시 동래구 안락로 53 (안락동)동래구노인,뇌에 기(氣)가 팍팍2020-12-22 14:27:58
60948국제렘포레k0858128.91788835.097917051-204-9994부산광역시 강서구 명지국제8로 230 9층 901호 (명지동)강서구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2020-12-22 14:27:58
61049국제맑음언어심리클리닉k0945128.91983435.098416051-203-7753부산광역시 강서구 명지국제8로 245 5층 503호 (명지동 명지뉴타워)강서구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2020-12-22 14:27:58
61150국제아동요리지도자협회(키즈놀이터)k0766129.11018435.142782051-621-7799부산광역시 수영구 남천동로 11-1 4층 (남천동)수영구청소년아동,아동청소년심리치유서비스(우리아이가달라졌어요!)2020-12-22 14:27:58
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