gimi9 Pandas Profiling

Dataset statistics

Number of variables	18
Number of observations	6563
Missing cells	17036
Missing cells (%)	14.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1000.0 KiB
Average record size in memory	156.0 B

Variable types

Categorical	6
Text	4
Numeric	8

Dataset

Description	노드링크 유형,노드 WKT,노드 ID,노드 유형 코드,링크 WKT,링크 ID,링크 유형 코드,시작노드 ID,종료노드 ID,링크 길이,시군구코드,시군구명,읍면동코드,읍면동명,지하철역코드,지하철역명,리프트,엘리베이터
Author	서울특별시
URL	https://data.seoul.go.kr/dataList/OA-21213/S/1/datasetView.do

Alerts

`리프트` is highly overall correlated with `시작노드 ID` and 3 other fields	High correlation
`엘리베이터` is highly overall correlated with `시작노드 ID` and 3 other fields	High correlation
`노드링크 유형` is highly overall correlated with `노드 ID` and 6 other fields	High correlation
`링크 유형 코드` is highly overall correlated with `노드 ID` and 3 other fields	High correlation
`노드 유형 코드` is highly overall correlated with `링크 ID` and 1 other fields	High correlation
`노드 ID` is highly overall correlated with `링크 ID` and 2 other fields	High correlation
`링크 ID` is highly overall correlated with `노드 ID` and 2 other fields	High correlation
`시작노드 ID` is highly overall correlated with `노드링크 유형` and 2 other fields	High correlation
`종료노드 ID` is highly overall correlated with `노드링크 유형` and 2 other fields	High correlation
`링크 길이` is highly overall correlated with `노드링크 유형` and 2 other fields	High correlation
`시군구코드` is highly overall correlated with `읍면동코드` and 2 other fields	High correlation
`읍면동코드` is highly overall correlated with `시군구코드` and 2 other fields	High correlation
`지하철역코드` is highly overall correlated with `시군구코드` and 2 other fields	High correlation
`시군구명` is highly overall correlated with `시군구코드` and 2 other fields	High correlation
`리프트` is highly imbalanced (90.2%)	Imbalance
`엘리베이터` is highly imbalanced (58.4%)	Imbalance
`노드 WKT` has 3072 (46.8%) missing values	Missing
`링크 WKT` has 3491 (53.2%) missing values	Missing
`시작노드 ID` has 3491 (53.2%) missing values	Missing
`종료노드 ID` has 3491 (53.2%) missing values	Missing
`링크 길이` has 3491 (53.2%) missing values	Missing
`노드 ID` has 3072 (46.8%) zeros	Zeros
`링크 ID` has 3491 (53.2%) zeros	Zeros

Reproduction

Analysis started	2024-05-04 00:24:55.156706
Analysis finished	2024-05-04 00:25:25.011901
Duration	29.86 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

노드링크 유형
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.4 KiB

NODE	3491
LINK	3072

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NODE
2nd row	NODE
3rd row	NODE
4th row	NODE
5th row	NODE

Common Values

Value	Count	Frequency (%)
NODE	3491	53.2%
LINK	3072	46.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
node	3491	53.2%
link	3072	46.8%

노드 WKT
Text

MISSING

Distinct	3491
Distinct (%)	100.0%
Missing	3072
Missing (%)	46.8%
Memory size	51.4 KiB

Length

Max length	44
Median length	43
Mean length	43.049842
Min length	39

Characters and Unicode

Total characters	150287
Distinct characters	19
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3491 ?
Unique (%)	100.0%

Sample

1st row	POINT(127.01619593666405 37.57330084304634)
2nd row	POINT(127.01602335654462 37.57300793512578)
3rd row	POINT(127.01177062630677 37.571776063729565)
4th row	POINT(127.01546995294608 37.579924238231975)
5th row	POINT(127.01548997792348 37.579423048721914)

Value	Count	Frequency (%)
point(127.01520097725069	1	< 0.1%
37.51377296050352	1	< 0.1%
point(126.9760906816393	1	< 0.1%
37.50341346968391	1	< 0.1%
point(126.97587659913403	1	< 0.1%
37.50891304989041	1	< 0.1%
point(126.9639092442565	1	< 0.1%
37.512896752769116	1	< 0.1%
point(126.9524738006009	1	< 0.1%
37.514398272962204	1	< 0.1%
Other values (6972)	6972	99.9%

Most occurring characters

Value	Count	Frequency (%)
7	14616	9.7%
1	13013	8.7%
3	12560	8.4%
2	12465	8.3%
5	11671	7.8%
6	11545	7.7%
4	10092	6.7%
0	10036	6.7%
9	9864	6.6%
8	9515	6.3%
Other values (9)	34910	23.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	115377	76.8%
Uppercase Letter	17455	11.6%
Other Punctuation	6982	4.6%
Open Punctuation	3491	2.3%
Space Separator	3491	2.3%
Close Punctuation	3491	2.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	14616	12.7%
1	13013	11.3%
3	12560	10.9%
2	12465	10.8%
5	11671	10.1%
6	11545	10.0%
4	10092	8.7%
0	10036	8.7%
9	9864	8.5%
8	9515	8.2%

Uppercase Letter

Value	Count	Frequency (%)
O	3491	20.0%
T	3491	20.0%
N	3491	20.0%
I	3491	20.0%
P	3491	20.0%

Other Punctuation

Value	Count	Frequency (%)
.	6982	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3491	100.0%

Space Separator

Value	Count	Frequency (%)
	3491	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3491	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	132832	88.4%
Latin	17455	11.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	14616	11.0%
1	13013	9.8%
3	12560	9.5%
2	12465	9.4%
5	11671	8.8%
6	11545	8.7%
4	10092	7.6%
0	10036	7.6%
9	9864	7.4%
8	9515	7.2%
Other values (4)	17455	13.1%

Latin

Value	Count	Frequency (%)
O	3491	20.0%
T	3491	20.0%
N	3491	20.0%
I	3491	20.0%
P	3491	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	150287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	14616	9.7%
1	13013	8.7%
3	12560	8.4%
2	12465	8.3%
5	11671	7.8%
6	11545	7.7%
4	10092	6.7%
0	10036	6.7%
9	9864	6.6%
8	9515	6.3%
Other values (9)	34910	23.2%

노드 ID
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	3492
Distinct (%)	53.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	85160.446

Minimum	0
Maximum	215561
Zeros	3072
Zeros (%)	46.8%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	18393
Q3	211623.5
95-th percentile	213704.9
Maximum	215561
Range	215561
Interquartile range (IQR)	211623.5

Descriptive statistics

Standard deviation	95077.738
Coefficient of variation (CV)	1.1164542
Kurtosis	-1.6781206
Mean	85160.446
Median Absolute Deviation (MAD)	18393
Skewness	0.4028187
Sum	5.58908 × 10⁸
Variance	9.0397762 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3072	46.8%
159705	1	< 0.1%
138528	1	< 0.1%
211525	1	< 0.1%
211524	1	< 0.1%
211523	1	< 0.1%
211522	1	< 0.1%
211521	1	< 0.1%
138059	1	< 0.1%
138068	1	< 0.1%
Other values (3482)	3482	53.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3072	46.8%
3	1	< 0.1%
4	1	< 0.1%
7	1	< 0.1%
38	1	< 0.1%
44	1	< 0.1%
82	1	< 0.1%
138	1	< 0.1%
142	1	< 0.1%
154	1	< 0.1%

Value	Count	Frequency (%)
215561	1	< 0.1%
215502	1	< 0.1%
215483	1	< 0.1%
215450	1	< 0.1%
215445	1	< 0.1%
215444	1	< 0.1%
215443	1	< 0.1%
215442	1	< 0.1%
215434	1	< 0.1%
215433	1	< 0.1%

노드 유형 코드
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.4 KiB

<NA>	3072
1	2014
0	1476
2	1

Length

Max length	4
Median length	1
Mean length	2.4042359
Min length	1

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

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

Common Values

Value	Count	Frequency (%)
<NA>	3072	46.8%
1	2014	30.7%
0	1476	22.5%
2	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	3072	46.8%
1	2014	30.7%
0	1476	22.5%
2	1	< 0.1%

링크 WKT
Text

MISSING

Distinct	3072
Distinct (%)	100.0%
Missing	3491
Missing (%)	53.2%
Memory size	51.4 KiB

Length

Max length	272
Median length	271
Mean length	98.003581
Min length	80

Characters and Unicode

Total characters	301067
Distinct characters	23
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3072 ?
Unique (%)	100.0%

Sample

1st row	LINESTRING(126.97739560816339 37.5716385206043,126.97740776922767 37.571426192448655)
2nd row	LINESTRING(127.011918860164 37.57205382516591,127.01219046837087 37.57213417569109)
3rd row	LINESTRING(127.0093195885097 37.5708790060882,127.00912655348034 37.57120529342272,127.00892459707903 37.57146065235304,127.00873150859037 37.57135663796393,127.00823807608413 37.57126297602143)
4th row	LINESTRING(127.01049296509703 37.571417966123946,127.01048106360342 37.57127610968704)
5th row	LINESTRING(127.01196087007087 37.571942315181126,127.0120019980242 37.57184103052378)

Value	Count	Frequency (%)
linestring(127.01370397818893	10	0.1%
linestring(127.01629854938999	7	0.1%
37.6198970444768	6	0.1%
linestring(126.8553701898923	5	< 0.1%
linestring(126.90397294527838	5	< 0.1%
linestring(126.91475980897857	5	< 0.1%
linestring(126.94364647060388	5	< 0.1%
linestring(127.1678698761385	4	< 0.1%
linestring(126.92844468296862	4	< 0.1%
linestring(126.84043646728263	4	< 0.1%
Other values (8771)	10232	99.5%

Most occurring characters

Value	Count	Frequency (%)
7	30244	10.0%
1	27043	9.0%
3	25931	8.6%
2	25490	8.5%
5	24222	8.0%
6	23687	7.9%
4	20872	6.9%
0	20710	6.9%
9	20480	6.8%
8	19736	6.6%
Other values (13)	62652	20.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	238415	79.2%
Uppercase Letter	30720	10.2%
Other Punctuation	18573	6.2%
Space Separator	7215	2.4%
Open Punctuation	3072	1.0%
Close Punctuation	3072	1.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	30244	12.7%
1	27043	11.3%
3	25931	10.9%
2	25490	10.7%
5	24222	10.2%
6	23687	9.9%
4	20872	8.8%
0	20710	8.7%
9	20480	8.6%
8	19736	8.3%

Uppercase Letter

Value	Count	Frequency (%)
N	6144	20.0%
I	6144	20.0%
L	3072	10.0%
G	3072	10.0%
R	3072	10.0%
T	3072	10.0%
S	3072	10.0%
E	3072	10.0%

Other Punctuation

Value	Count	Frequency (%)
.	14430	77.7%
,	4143	22.3%

Space Separator

Value	Count	Frequency (%)
	7215	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3072	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3072	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	270347	89.8%
Latin	30720	10.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	30244	11.2%
1	27043	10.0%
3	25931	9.6%
2	25490	9.4%
5	24222	9.0%
6	23687	8.8%
4	20872	7.7%
0	20710	7.7%
9	20480	7.6%
8	19736	7.3%
Other values (5)	31932	11.8%

Latin

Value	Count	Frequency (%)
N	6144	20.0%
I	6144	20.0%
L	3072	10.0%
G	3072	10.0%
R	3072	10.0%
T	3072	10.0%
S	3072	10.0%
E	3072	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	301067	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	30244	10.0%
1	27043	9.0%
3	25931	8.6%
2	25490	8.5%
5	24222	8.0%
6	23687	7.9%
4	20872	6.9%
0	20710	6.9%
9	20480	6.8%
8	19736	6.6%
Other values (13)	62652	20.8%

링크 ID
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	3073
Distinct (%)	46.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	66396.719

Minimum	0
Maximum	282281
Zeros	3491
Zeros (%)	53.2%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	132331.5
95-th percentile	251926.6
Maximum	282281
Range	282281
Interquartile range (IQR)	132331.5

Descriptive statistics

Standard deviation	90201.418
Coefficient of variation (CV)	1.3585222
Kurtosis	-0.45833718
Mean	66396.719
Median Absolute Deviation (MAD)	0
Skewness	1.0196803
Sum	4.3576166 × 10⁸
Variance	8.1362959 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3491	53.2%
63568	1	< 0.1%
219939	1	< 0.1%
261204	1	< 0.1%
6874	1	< 0.1%
47434	1	< 0.1%
200836	1	< 0.1%
131505	1	< 0.1%
95813	1	< 0.1%
29597	1	< 0.1%
Other values (3063)	3063	46.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3491	53.2%
10	1	< 0.1%
52	1	< 0.1%
220	1	< 0.1%
250	1	< 0.1%
310	1	< 0.1%
412	1	< 0.1%
413	1	< 0.1%
421	1	< 0.1%
658	1	< 0.1%

Value	Count	Frequency (%)
282281	1	< 0.1%
282253	1	< 0.1%
282109	1	< 0.1%
282009	1	< 0.1%
281877	1	< 0.1%
281729	1	< 0.1%
281720	1	< 0.1%
281685	1	< 0.1%
281658	1	< 0.1%
281515	1	< 0.1%

링크 유형 코드
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.4 KiB

<NA>	3491
1000	3005
1111	42
1011	25

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	<NA>
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
<NA>	3491	53.2%
1000	3005	45.8%
1111	42	0.6%
1011	25	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	3491	53.2%
1000	3005	45.8%
1111	42	0.6%
1011	25	0.4%

시작노드 ID
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	1906
Distinct (%)	62.0%
Missing	3491
Missing (%)	53.2%
Infinite	0
Infinite (%)	0.0%
Mean	193975.02

Minimum	3
Maximum	215561
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	3
5-th percentile	57650
Q1	211703.75
median	212718.5
Q3	213400.5
95-th percentile	214253.45
Maximum	215561
Range	215558
Interquartile range (IQR)	1696.75

Descriptive statistics

Standard deviation	48996.588
Coefficient of variation (CV)	0.25259225
Kurtosis	5.6947629
Mean	193975.02
Median Absolute Deviation (MAD)	850.5
Skewness	-2.6149217
Sum	5.9589126 × 10⁸
Variance	2.4006656 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
212607	10	0.2%
211937	7	0.1%
212547	5	0.1%
213455	5	0.1%
213899	5	0.1%
213701	5	0.1%
212539	4	0.1%
212980	4	0.1%
213568	4	0.1%
213826	4	0.1%
Other values (1896)	3019	46.0%
(Missing)	3491	53.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	< 0.1%
4	2	< 0.1%
7	1	< 0.1%
44	2	< 0.1%
142	2	< 0.1%
154	3	< 0.1%
284	2	< 0.1%
1788	1	< 0.1%
3336	1	< 0.1%
4912	1	< 0.1%

Value	Count	Frequency (%)
215561	2	< 0.1%
215502	2	< 0.1%
215483	2	< 0.1%
215431	1	< 0.1%
215413	1	< 0.1%
215412	1	< 0.1%
215410	1	< 0.1%
215394	2	< 0.1%
215393	1	< 0.1%
215388	2	< 0.1%

종료노드 ID
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	2735
Distinct (%)	89.0%
Missing	3491
Missing (%)	53.2%
Infinite	0
Infinite (%)	0.0%
Mean	166418.19

Minimum	3
Maximum	215561
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	3
5-th percentile	16616.9
Q1	126947.25
median	211763
Q3	213035.25
95-th percentile	214021.45
Maximum	215561
Range	215558
Interquartile range (IQR)	86088

Descriptive statistics

Standard deviation	68804.992
Coefficient of variation (CV)	0.41344635
Kurtosis	-0.065330388
Mean	166418.19
Median Absolute Deviation (MAD)	1983.5
Skewness	-1.1960499
Sum	5.1123668 × 10⁸
Variance	4.734127 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
213359	6	0.1%
211415	4	0.1%
212658	3	< 0.1%
211285	3	< 0.1%
212994	3	< 0.1%
215020	3	< 0.1%
213030	3	< 0.1%
212985	3	< 0.1%
212795	3	< 0.1%
213317	3	< 0.1%
Other values (2725)	3038	46.3%
(Missing)	3491	53.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	2	< 0.1%
4	1	< 0.1%
7	2	< 0.1%
38	1	< 0.1%
44	1	< 0.1%
82	1	< 0.1%
138	1	< 0.1%
142	1	< 0.1%
154	1	< 0.1%
279	2	< 0.1%

Value	Count	Frequency (%)
215561	1	< 0.1%
215502	1	< 0.1%
215483	2	< 0.1%
215450	1	< 0.1%
215445	1	< 0.1%
215444	1	< 0.1%
215443	1	< 0.1%
215442	1	< 0.1%
215434	1	< 0.1%
215433	1	< 0.1%

링크 길이
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	2968
Distinct (%)	96.6%
Missing	3491
Missing (%)	53.2%
Infinite	0
Infinite (%)	0.0%
Mean	34.044106

Minimum	1.324
Maximum	376.95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	1.324
5-th percentile	7.5764
Q1	16.1565
median	26.073
Q3	41.168
95-th percentile	89.33335
Maximum	376.95
Range	375.626
Interquartile range (IQR)	25.0115

Descriptive statistics

Standard deviation	29.937183
Coefficient of variation (CV)	0.87936463
Kurtosis	16.613239
Mean	34.044106
Median Absolute Deviation (MAD)	11.2475
Skewness	3.1685474
Sum	104583.49
Variance	896.23491
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
21.769	3	< 0.1%
14.244	3	< 0.1%
10.683	3	< 0.1%
19.169	3	< 0.1%
14.908	3	< 0.1%
30.567	2	< 0.1%
18.967	2	< 0.1%
23.195	2	< 0.1%
21.616	2	< 0.1%
20.145	2	< 0.1%
Other values (2958)	3047	46.4%
(Missing)	3491	53.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.324	1	< 0.1%
1.728	1	< 0.1%
1.782	1	< 0.1%
1.807	1	< 0.1%
2.178	1	< 0.1%
2.302	1	< 0.1%
2.352	1	< 0.1%
2.677	1	< 0.1%
2.684	1	< 0.1%
2.705	1	< 0.1%

Value	Count	Frequency (%)
376.95	1	< 0.1%
299.21	1	< 0.1%
277.818	1	< 0.1%
258.364	1	< 0.1%
246.245	1	< 0.1%
235.907	1	< 0.1%
229.365	1	< 0.1%
212.195	1	< 0.1%
196.204	1	< 0.1%
188.317	1	< 0.1%

시군구코드
Real number (ℝ)

HIGH CORRELATION

Distinct	25
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.144229 × 10⁹

Minimum	1.111 × 10⁹
Maximum	1.174 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	1.111 × 10⁹
5-th percentile	1.111 × 10⁹
Q1	1.123 × 10⁹
median	1.147 × 10⁹
Q3	1.165 × 10⁹
95-th percentile	1.171 × 10⁹
Maximum	1.174 × 10⁹
Range	63000000
Interquartile range (IQR)	42000000

Descriptive statistics

Standard deviation	21024959
Coefficient of variation (CV)	0.018374782
Kurtosis	-1.4450667
Mean	1.144229 × 10⁹
Median Absolute Deviation (MAD)	21000000
Skewness	-0.15378402
Sum	7.509575 × 10¹²
Variance	4.4204889 × 10¹⁴
Monotonicity	Increasing

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
1168000000	749	11.4%
1171000000	498	7.6%
1114000000	469	7.1%
1165000000	439	6.7%
1111000000	366	5.6%
1150000000	356	5.4%
1120000000	314	4.8%
1159000000	303	4.6%
1156000000	297	4.5%
1129000000	272	4.1%
Other values (15)	2500	38.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1111000000	366	5.6%
1114000000	469	7.1%
1117000000	226	3.4%
1120000000	314	4.8%
1121500000	139	2.1%
1123000000	203	3.1%
1126000000	167	2.5%
1129000000	272	4.1%
1130500000	147	2.2%
1132000000	82	1.2%

Value	Count	Frequency (%)
1174000000	244	3.7%
1171000000	498	7.6%
1168000000	749	11.4%
1165000000	439	6.7%
1162000000	125	1.9%
1159000000	303	4.6%
1156000000	297	4.5%
1154500000	46	0.7%
1153000000	157	2.4%
1150000000	356	5.4%

시군구명
Categorical

HIGH CORRELATION

Distinct	25
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	51.4 KiB

강남구	749
송파구	498
중구	469
서초구	439
종로구	366
Other values (20)	4042

Length

Max length	4
Median length	3
Mean length	3.0234649
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	종로구
2nd row	종로구
3rd row	종로구
4th row	종로구
5th row	종로구

Common Values

Value	Count	Frequency (%)
강남구	749	11.4%
송파구	498	7.6%
중구	469	7.1%
서초구	439	6.7%
종로구	366	5.6%
강서구	356	5.4%
성동구	314	4.8%
동작구	303	4.6%
영등포구	297	4.5%
성북구	272	4.1%
Other values (15)	2500	38.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
강남구	749	11.4%
송파구	498	7.6%
중구	469	7.1%
서초구	439	6.7%
종로구	366	5.6%
강서구	356	5.4%
성동구	314	4.8%
동작구	303	4.6%
영등포구	297	4.5%
성북구	272	4.1%
Other values (15)	2500	38.1%

읍면동코드
Real number (ℝ)

HIGH CORRELATION

Distinct	274
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.144297 × 10⁹

Minimum	1.1110107 × 10⁹
Maximum	1.174011 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	1.1110107 × 10⁹
5-th percentile	1.1110175 × 10⁹
Q1	1.1230105 × 10⁹
median	1.1470102 × 10⁹
Q3	1.1650107 × 10⁹
95-th percentile	1.1710111 × 10⁹
Maximum	1.174011 × 10⁹
Range	63000300
Interquartile range (IQR)	42000200

Descriptive statistics

Standard deviation	21003683
Coefficient of variation (CV)	0.018355098
Kurtosis	-1.4430548
Mean	1.144297 × 10⁹
Median Absolute Deviation (MAD)	20999900
Skewness	-0.15583019
Sum	7.5100211 × 10¹²
Variance	4.4115471 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1168010500	142	2.2%
1165010800	130	2.0%
1135010500	128	2.0%
1168010100	116	1.8%
1171010100	107	1.6%
1165010700	105	1.6%
1165010100	105	1.6%
1168010300	93	1.4%
1168010800	93	1.4%
1130510100	89	1.4%
Other values (264)	5455	83.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1111010700	16	0.2%
1111011400	11	0.2%
1111011700	3	< 0.1%
1111011900	21	0.3%
1111012300	5	0.1%
1111012600	5	0.1%
1111012700	6	0.1%
1111012800	1	< 0.1%
1111013200	1	< 0.1%
1111013400	16	0.2%

Value	Count	Frequency (%)
1174011000	6	0.1%
1174010900	12	0.2%
1174010800	76	1.2%
1174010700	14	0.2%
1174010600	33	0.5%
1174010500	13	0.2%
1174010300	30	0.5%
1174010200	25	0.4%
1174010100	37	0.6%
1171011400	3	< 0.1%

읍면동명
Text

Distinct	273
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Memory size	51.4 KiB

Length

Max length	6
Median length	3
Mean length	3.2927015
Min length	2

Characters and Unicode

Total characters	21610
Distinct characters	184
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	0.2%

Sample

1st row	숭인동
2nd row	숭인동
3rd row	창신동
4th row	숭인동
5th row	숭인동

Value	Count	Frequency (%)
삼성동	142	2.2%
서초동	130	2.0%
상계동	128	2.0%
역삼동	116	1.8%
잠실동	107	1.6%
방배동	105	1.6%
반포동	105	1.6%
개포동	93	1.4%
논현동	93	1.4%
미아동	89	1.4%
Other values (263)	5455	83.1%

Most occurring characters

Value	Count	Frequency (%)
동	6198	28.7%
가	1125	5.2%
로	557	2.6%
신	403	1.9%
성	336	1.6%
방	307	1.4%
당	288	1.3%
삼	281	1.3%
상	275	1.3%
1	274	1.3%
Other values (174)	11566	53.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	20647	95.5%
Decimal Number	963	4.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	6198	30.0%
가	1125	5.4%
로	557	2.7%
신	403	2.0%
성	336	1.6%
방	307	1.5%
당	288	1.4%
삼	281	1.4%
상	275	1.3%
대	270	1.3%
Other values (167)	10607	51.4%

Decimal Number

Value	Count	Frequency (%)
1	274	28.5%
2	231	24.0%
3	141	14.6%
5	132	13.7%
4	87	9.0%
6	71	7.4%
7	27	2.8%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	20647	95.5%
Common	963	4.5%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	6198	30.0%
가	1125	5.4%
로	557	2.7%
신	403	2.0%
성	336	1.6%
방	307	1.5%
당	288	1.4%
삼	281	1.4%
상	275	1.3%
대	270	1.3%
Other values (167)	10607	51.4%

Common

Value	Count	Frequency (%)
1	274	28.5%
2	231	24.0%
3	141	14.6%
5	132	13.7%
4	87	9.0%
6	71	7.4%
7	27	2.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	20647	95.5%
ASCII	963	4.5%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
동	6198	30.0%
가	1125	5.4%
로	557	2.7%
신	403	2.0%
성	336	1.6%
방	307	1.5%
당	288	1.4%
삼	281	1.4%
상	275	1.3%
대	270	1.3%
Other values (167)	10607	51.4%

ASCII

Value	Count	Frequency (%)
1	274	28.5%
2	231	24.0%
3	141	14.6%
5	132	13.7%
4	87	9.0%
6	71	7.4%
7	27	2.8%

지하철역코드
Real number (ℝ)

HIGH CORRELATION

Distinct	299
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	151.98339

Minimum	1
Maximum	299
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	1
5-th percentile	12
Q1	74
median	156
Q3	229
95-th percentile	284
Maximum	299
Range	298
Interquartile range (IQR)	155

Descriptive statistics

Standard deviation	88.467391
Coefficient of variation (CV)	0.58208591
Kurtosis	-1.2119187
Mean	151.98339
Median Absolute Deviation (MAD)	76
Skewness	-0.077132728
Sum	997467
Variance	7826.4793
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
284	60	0.9%
180	58	0.9%
265	58	0.9%
266	57	0.9%
124	56	0.9%
201	56	0.9%
18	53	0.8%
159	52	0.8%
246	51	0.8%
169	49	0.7%
Other values (289)	6013	91.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	19	0.3%
2	5	0.1%
3	29	0.4%
4	21	0.3%
5	32	0.5%
6	32	0.5%
7	35	0.5%
8	29	0.4%
9	25	0.4%
10	41	0.6%

Value	Count	Frequency (%)
299	11	0.2%
298	15	0.2%
297	27	0.4%
296	11	0.2%
295	11	0.2%
294	23	0.4%
293	7	0.1%
292	15	0.2%
291	18	0.3%
290	9	0.1%

지하철역명
Text

Distinct	299
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Memory size	51.4 KiB

Length

Max length	14
Median length	13
Mean length	4.2037178
Min length	2

Characters and Unicode

Total characters	27589
Distinct characters	256
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	0.1%

Sample

1st row	동묘앞
2nd row	동묘앞
3rd row	동대문
4th row	창신
5th row	창신

Value	Count	Frequency (%)
서울역	60	0.9%
왕십리(성동구청	58	0.9%
종로3가	58	0.9%
종로5가	57	0.9%
사당	56	0.8%
종합운동장	56	0.8%
청담	53	0.8%
양재(서초구청	52	0.8%
삼각지	51	0.8%
강남	49	0.7%
Other values (290)	6051	91.7%

Most occurring characters

Value	Count	Frequency (%)
(	1283	4.7%
)	1283	4.7%
구	1136	4.1%
대	1063	3.9%
동	792	2.9%
청	661	2.4%
신	580	2.1%
입	470	1.7%
서	465	1.7%
로	409	1.5%
Other values (246)	19447	70.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	24664	89.4%
Open Punctuation	1283	4.7%
Close Punctuation	1283	4.7%
Decimal Number	245	0.9%
Other Punctuation	76	0.3%
Space Separator	38	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
구	1136	4.6%
대	1063	4.3%
동	792	3.2%
청	661	2.7%
신	580	2.4%
입	470	1.9%
서	465	1.9%
로	409	1.7%
문	404	1.6%
원	397	1.6%
Other values (235)	18287	74.1%

Decimal Number

Value	Count	Frequency (%)
3	104	42.4%
5	57	23.3%
4	40	16.3%
2	38	15.5%
1	3	1.2%
9	3	1.2%

Other Punctuation

Value	Count	Frequency (%)
,	38	50.0%
.	38	50.0%

Open Punctuation

Value	Count	Frequency (%)
(	1283	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1283	100.0%

Space Separator

Value	Count	Frequency (%)
	38	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	24664	89.4%
Common	2925	10.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
구	1136	4.6%
대	1063	4.3%
동	792	3.2%
청	661	2.7%
신	580	2.4%
입	470	1.9%
서	465	1.9%
로	409	1.7%
문	404	1.6%
원	397	1.6%
Other values (235)	18287	74.1%

Common

Value	Count	Frequency (%)
(	1283	43.9%
)	1283	43.9%
3	104	3.6%
5	57	1.9%
4	40	1.4%
,	38	1.3%
2	38	1.3%
.	38	1.3%
	38	1.3%
1	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	24664	89.4%
ASCII	2925	10.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
(	1283	43.9%
)	1283	43.9%
3	104	3.6%
5	57	1.9%
4	40	1.4%
,	38	1.3%
2	38	1.3%
.	38	1.3%
	38	1.3%
1	3	0.1%

Hangul

Value	Count	Frequency (%)
구	1136	4.6%
대	1063	4.3%
동	792	3.2%
청	661	2.7%
신	580	2.4%
입	470	1.9%
서	465	1.9%
로	409	1.7%
문	404	1.6%
원	397	1.6%
Other values (235)	18287	74.1%

리프트
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.4 KiB

0	6480
1	83

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	6480	98.7%
1	83	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	6480	98.7%
1	83	1.3%

엘리베이터
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	51.4 KiB

0	6011
1	552

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6011	91.6%
1	552	8.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	6011	91.6%
1	552	8.4%

Heatmap
Table

	노드링크 유형	노드 ID	노드 유형 코드	링크 ID	링크 유형 코드	시작노드 ID	종료노드 ID	링크 길이	시군구코드	시군구명	읍면동코드	지하철역코드	리프트	엘리베이터
노드링크 유형	1.000	0.993	NaN	0.989	NaN	NaN	NaN	NaN	0.000	0.000	0.000	0.000	0.163	0.431
노드 ID	0.993	1.000	0.609	0.693	NaN	NaN	NaN	NaN	0.337	0.412	0.326	0.297	0.142	0.385
노드 유형 코드	NaN	0.609	1.000	NaN	NaN	NaN	NaN	NaN	0.111	0.145	0.106	0.104	0.070	0.064
링크 ID	0.989	0.693	NaN	1.000	0.062	0.000	0.000	0.043	0.014	0.047	0.012	0.000	0.116	0.333
링크 유형 코드	NaN	NaN	NaN	0.062	1.000	0.138	0.112	0.142	0.380	0.555	0.378	0.264	NaN	NaN
시작노드 ID	NaN	NaN	NaN	0.000	0.138	1.000	0.349	0.099	0.399	0.488	0.394	0.378	NaN	NaN
종료노드 ID	NaN	NaN	NaN	0.000	0.112	0.349	1.000	0.000	0.499	0.566	0.460	0.453	NaN	NaN
링크 길이	NaN	NaN	NaN	0.043	0.142	0.099	0.000	1.000	0.066	0.074	0.067	0.082	NaN	NaN
시군구코드	0.000	0.337	0.111	0.014	0.380	0.399	0.499	0.066	1.000	1.000	1.000	0.939	0.090	0.070
시군구명	0.000	0.412	0.145	0.047	0.555	0.488	0.566	0.074	1.000	1.000	1.000	0.979	0.132	0.096
읍면동코드	0.000	0.326	0.106	0.012	0.378	0.394	0.460	0.067	1.000	1.000	1.000	0.936	0.089	0.077
지하철역코드	0.000	0.297	0.104	0.000	0.264	0.378	0.453	0.082	0.939	0.979	0.936	1.000	0.076	0.061
리프트	0.163	0.142	0.070	0.116	NaN	NaN	NaN	NaN	0.090	0.132	0.089	0.076	1.000	0.000
엘리베이터	0.431	0.385	0.064	0.333	NaN	NaN	NaN	NaN	0.070	0.096	0.077	0.061	0.000	1.000

Heatmap
Table

	리프트	엘리베이터	노드링크 유형	링크 유형 코드	시군구명	노드 유형 코드
리프트	1.000	0.000	0.104	1.000	0.114	0.116
엘리베이터	0.000	1.000	0.283	1.000	0.083	0.106
노드링크 유형	0.104	0.283	1.000	1.000	0.000	1.000
링크 유형 코드	1.000	1.000	1.000	1.000	0.343	NaN
시군구명	0.114	0.083	0.000	0.343	1.000	0.074
노드 유형 코드	0.116	0.106	1.000	NaN	0.074	1.000

Heatmap
Table

	노드 ID	링크 ID	시작노드 ID	종료노드 ID	링크 길이	시군구코드	읍면동코드	지하철역코드	노드링크 유형	노드 유형 코드	링크 유형 코드	시군구명	리프트	엘리베이터
노드 ID	1.000	-0.855	NaN	NaN	NaN	0.019	0.018	-0.017	0.923	0.453	1.000	0.157	0.109	0.295
링크 ID	-0.855	1.000	-0.007	-0.005	-0.007	0.003	0.005	0.002	0.908	1.000	0.037	0.016	0.089	0.256
시작노드 ID	NaN	-0.007	1.000	0.056	0.000	0.071	0.075	-0.067	1.000	0.000	0.082	0.194	1.000	1.000
종료노드 ID	NaN	-0.005	0.056	1.000	-0.033	0.061	0.061	-0.070	1.000	0.000	0.067	0.236	1.000	1.000
링크 길이	NaN	-0.007	0.000	-0.033	1.000	0.060	0.060	0.003	1.000	0.000	0.062	0.028	1.000	1.000
시군구코드	0.019	0.003	0.071	0.061	0.060	1.000	0.997	-0.539	0.000	0.063	0.246	0.999	0.068	0.060
읍면동코드	0.018	0.005	0.075	0.061	0.060	0.997	1.000	-0.541	0.000	0.063	0.245	0.991	0.068	0.059
지하철역코드	-0.017	0.002	-0.067	-0.070	0.003	-0.539	-0.541	1.000	0.000	0.062	0.163	0.847	0.059	0.047
노드링크 유형	0.923	0.908	1.000	1.000	1.000	0.000	0.000	0.000	1.000	1.000	1.000	0.000	0.104	0.283
노드 유형 코드	0.453	1.000	0.000	0.000	0.000	0.063	0.063	0.062	1.000	1.000	0.000	0.074	0.116	0.106
링크 유형 코드	1.000	0.037	0.082	0.067	0.062	0.246	0.245	0.163	1.000	0.000	1.000	0.343	1.000	1.000
시군구명	0.157	0.016	0.194	0.236	0.028	0.999	0.991	0.847	0.000	0.074	0.343	1.000	0.114	0.083
리프트	0.109	0.089	1.000	1.000	1.000	0.068	0.068	0.059	0.104	0.116	1.000	0.114	1.000	0.000
엘리베이터	0.295	0.256	1.000	1.000	1.000	0.060	0.059	0.047	0.283	0.106	1.000	0.083	0.000	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	노드링크 유형	노드 WKT	노드 ID	노드 유형 코드	링크 WKT	링크 유형 코드	시작노드 ID	종료노드 ID	링크 길이	시군구코드	시군구명	읍면동코드	읍면동명	지하철역코드	지하철역명	리프트	엘리베이터
0	NODE	POINT(127.01619593666405 37.57330084304634)	159705	1	<NA>	<NA>	<NA>	<NA>	<NA>	1111000000	종로구	1111017500	숭인동	268	동묘앞	1	0
1	NODE	POINT(127.01602335654462 37.57300793512578)	159707	1	<NA>	<NA>	<NA>	<NA>	<NA>	1111000000	종로구	1111017500	숭인동	268	동묘앞	1	0
2	NODE	POINT(127.01177062630677 37.571776063729565)	154034	1	<NA>	<NA>	<NA>	<NA>	<NA>	1111000000	종로구	1111017400	창신동	272	동대문	0	0
3	NODE	POINT(127.01546995294608 37.579924238231975)	167346	1	<NA>	<NA>	<NA>	<NA>	<NA>	1111000000	종로구	1111017500	숭인동	270	창신	1	0
4	NODE	POINT(127.01548997792348 37.579423048721914)	167349	1	<NA>	<NA>	<NA>	<NA>	<NA>	1111000000	종로구	1111017500	숭인동	270	창신	0	0
5	NODE	POINT(127.01508452616667 37.579409370080526)	167350	1	<NA>	<NA>	<NA>	<NA>	<NA>	1111000000	종로구	1111017400	창신동	270	창신	0	0
6	NODE	POINT(127.01505874969273 37.57992200287952)	167351	1	<NA>	<NA>	<NA>	<NA>	<NA>	1111000000	종로구	1111017400	창신동	270	창신	0	1
7	NODE	POINT(127.00872566188639 37.57096161215126)	154041	1	<NA>	<NA>	<NA>	<NA>	<NA>	1111000000	종로구	1111016400	종로6가	272	동대문	0	0
8	NODE	POINT(126.97242343703854 37.57636997181606)	153200	1	<NA>	<NA>	<NA>	<NA>	<NA>	1111000000	종로구	1111011400	내자동	271	경복궁(정부서울청사)	0	0
9	NODE	POINT(126.97216626757961 37.57615810839241)	153206	1	<NA>	<NA>	<NA>	<NA>	<NA>	1111000000	종로구	1111011400	내자동	271	경복궁(정부서울청사)	0	0

	노드링크 유형	노드 WKT	노드 ID	노드 유형 코드	링크 WKT	링크 ID	링크 유형 코드	시작노드 ID	종료노드 ID	링크 길이	시군구코드	시군구명	읍면동코드	읍면동명	지하철역코드	지하철역명
6553	LINK	<NA>	0	<NA>	LINESTRING(127.13267153234804 37.535803183259596,127.13258212724077 37.53562477754002,127.13269390266464 37.535550729387346)	228603	1111	213600	24522	34.17	1174000000	강동구	1174010800	성내동	30	강동
6554	LINK	<NA>	0	<NA>	LINESTRING(127.13267153234804 37.535803183259596,127.1328208868627 37.535754956032434)	226807	1111	213600	213587	14.244	1174000000	강동구	1174010800	성내동	30	강동
6555	NODE	POINT(127.13267153234804 37.535803183259596)	213600	0	<NA>	0	<NA>	<NA>	<NA>	<NA>	1174000000	강동구	1174010800	성내동	30	강동
6556	LINK	<NA>	0	<NA>	LINESTRING(127.13231537009848 37.53591343277291,127.13223172954761 37.53574417449228,127.1320268597103 37.535780903160955)	261313	1111	213887	23909	38.748	1174000000	강동구	1174010800	성내동	30	강동
6557	LINK	<NA>	0	<NA>	LINESTRING(127.1538071591321 37.55500038961286,127.15383278569297 37.55488135255971)	12265	1000	213867	213652	13.404	1174000000	강동구	1174010100	명일동	29	고덕
6558	LINK	<NA>	0	<NA>	LINESTRING(127.15383278569297 37.55488135255971,127.15401969404866 37.5549108598129)	57977	1000	213652	213666	16.837	1174000000	강동구	1174010100	명일동	29	고덕
6559	LINK	<NA>	0	<NA>	LINESTRING(127.1536750696294 37.55506921756639,127.15371250965778 37.5551034968115,127.15376714077956 37.55511029127353,127.15380158870624 37.555087361086464)	72699	1000	213585	213852	13.895	1174000000	강동구	1174010200	고덕동	29	고덕
6560	LINK	<NA>	0	<NA>	LINESTRING(127.15399117436199 37.55502074655087,127.15444836426896 37.555084228292216,127.15443130569868 37.555175791884416)	85094	1000	213856	213818	51.281	1174000000	강동구	1174010100	명일동	29	고덕
6561	LINK	<NA>	0	<NA>	LINESTRING(127.1535313594875 37.55507855865008,127.15347098863926 37.55507634860359,127.1534078464239 37.555124489831606,127.15336809095288 37.55521133715)	156487	1000	213861	125091	23.324	1174000000	강동구	1174010200	고덕동	29	고덕
6562	LINK	<NA>	0	<NA>	LINESTRING(127.15399117436199 37.55502074655087,127.15401969404866 37.5549108598129,127.15430148234717 37.554949396944025,127.15432965268977 37.55498428240756)	169446	1000	213856	125052	42.32	1174000000	강동구	1174010100	명일동	29	고덕

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Other Punctuation

Open Punctuation

Space Separator

Close Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Other Punctuation

Open Punctuation

Close Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Common Values

Length

Common Values (Plot)

Common Values

Length