gimi9 Pandas Profiling

Dataset statistics

Number of variables	18
Number of observations	10000
Missing cells	14091
Missing cells (%)	7.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.5 MiB
Average record size in memory	160.0 B

Variable types

Text	8
Numeric	8
Categorical	1
DateTime	1

Dataset

Description	공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author	지방자치단체
URL	https://www.data.go.kr/data/15021145/standard.do

Alerts

`가로수길시작위도` is highly overall correlated with `가로수길종료위도`	High correlation
`가로수길시작경도` is highly overall correlated with `가로수길종료경도`	High correlation
`가로수길종료위도` is highly overall correlated with `가로수길시작위도`	High correlation
`가로수길종료경도` is highly overall correlated with `가로수길시작경도`	High correlation
`가로수수량` has 1219 (12.2%) missing values	Missing
`식재연도` has 6131 (61.3%) missing values	Missing
`도로명` has 4791 (47.9%) missing values	Missing
`관리기관전화번호` has 1033 (10.3%) missing values	Missing
`관리기관명` has 917 (9.2%) missing values	Missing

Reproduction

Analysis started	2024-05-11 10:21:47.235697
Analysis finished	2024-05-11 10:22:23.298456
Duration	36.06 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

가로수길명
Text

Distinct	7241
Distinct (%)	72.4%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	60
Median length	48
Mean length	6.6958
Min length	2

Characters and Unicode

Total characters	66958
Distinct characters	639
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	5 ?

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

Unique

Unique	5531 ?
Unique (%)	55.3%

Sample

1st row	에코중앙로
2nd row	동문로
3rd row	북평철길~이도사거리 버스정류장
4th row	탄리로
5th row	장미로

Value	Count	Frequency (%)
가로수길	223	1.7%
가로수	152	1.2%
구간	75	0.6%
	55	0.4%
봉담택지보행자도로	47	0.4%
사하구	47	0.4%
진입로	41	0.3%
중앙로	32	0.3%
이팝나무길	32	0.3%
영도구	30	0.2%
Other values (7712)	12045	94.3%

Most occurring characters

Value	Count	Frequency (%)
로	7497	11.2%
길	3575	5.3%
	2911	4.3%
1	1390	2.1%
동	1182	1.8%
대	1159	1.7%
산	1155	1.7%
번	1147	1.7%
2	967	1.4%
리	924	1.4%
Other values (629)	45051	67.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	55219	82.5%
Decimal Number	6089	9.1%
Space Separator	2911	4.3%
Math Symbol	854	1.3%
Open Punctuation	648	1.0%
Close Punctuation	644	1.0%
Dash Punctuation	280	0.4%
Other Punctuation	198	0.3%
Uppercase Letter	98	0.1%
Lowercase Letter	16	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	7497	13.6%
길	3575	6.5%
동	1182	2.1%
대	1159	2.1%
산	1155	2.1%
번	1147	2.1%
리	924	1.7%
수	894	1.6%
도	832	1.5%
가	751	1.4%
Other values (583)	36103	65.4%

Uppercase Letter

Value	Count	Frequency (%)
C	22	22.4%
A	13	13.3%
I	13	13.3%
B	9	9.2%
E	8	8.2%
G	7	7.1%
L	6	6.1%
F	5	5.1%
D	4	4.1%
S	4	4.1%
Other values (4)	7	7.1%

Decimal Number

Value	Count	Frequency (%)
1	1390	22.8%
2	967	15.9%
3	653	10.7%
4	607	10.0%
5	511	8.4%
7	459	7.5%
6	445	7.3%
0	404	6.6%
8	329	5.4%
9	324	5.3%

Lowercase Letter

Value	Count	Frequency (%)
c	4	25.0%
d	3	18.8%
i	3	18.8%
a	1	6.2%
b	1	6.2%
g	1	6.2%
l	1	6.2%
o	1	6.2%
s	1	6.2%

Other Punctuation

Value	Count	Frequency (%)
,	141	71.2%
/	26	13.1%
.	25	12.6%
·	4	2.0%
@	2	1.0%

Math Symbol

Value	Count	Frequency (%)
~	832	97.4%
+	20	2.3%
∼	2	0.2%

Space Separator

Value	Count	Frequency (%)
	2911	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	648	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	644	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	280	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	55219	82.5%
Common	11625	17.4%
Latin	114	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	7497	13.6%
길	3575	6.5%
동	1182	2.1%
대	1159	2.1%
산	1155	2.1%
번	1147	2.1%
리	924	1.7%
수	894	1.6%
도	832	1.5%
가	751	1.4%
Other values (583)	36103	65.4%

Common

Value	Count	Frequency (%)
	2911	25.0%
1	1390	12.0%
2	967	8.3%
~	832	7.2%
3	653	5.6%
(	648	5.6%
)	644	5.5%
4	607	5.2%
5	511	4.4%
7	459	3.9%
Other values (13)	2003	17.2%

Latin

Value	Count	Frequency (%)
C	22	19.3%
A	13	11.4%
I	13	11.4%
B	9	7.9%
E	8	7.0%
G	7	6.1%
L	6	5.3%
F	5	4.4%
D	4	3.5%
S	4	3.5%
Other values (13)	23	20.2%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	55218	82.5%
ASCII	11733	17.5%
None	4	< 0.1%
Math Operators	2	< 0.1%
Compat Jamo	1	< 0.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
로	7497	13.6%
길	3575	6.5%
동	1182	2.1%
대	1159	2.1%
산	1155	2.1%
번	1147	2.1%
리	924	1.7%
수	894	1.6%
도	832	1.5%
가	751	1.4%
Other values (582)	36102	65.4%

ASCII

Value	Count	Frequency (%)
	2911	24.8%
1	1390	11.8%
2	967	8.2%
~	832	7.1%
3	653	5.6%
(	648	5.5%
)	644	5.5%
4	607	5.2%
5	511	4.4%
7	459	3.9%
Other values (34)	2111	18.0%

None

Value	Count	Frequency (%)
·	4	100.0%

Math Operators

Value	Count	Frequency (%)
∼	2	100.0%

Compat Jamo

Value	Count	Frequency (%)
ㆍ	1	100.0%

가로수길시작위도
Real number (ℝ)

HIGH CORRELATION

Distinct	8141
Distinct (%)	81.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.444919

Minimum	30.064286
Maximum	39.012237
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	30.064286
5-th percentile	34.838577
Q1	35.375372
median	36.627959
Q3	37.456679
95-th percentile	37.89855
Maximum	39.012237
Range	8.9479511
Interquartile range (IQR)	2.0813068

Descriptive statistics

Standard deviation	1.1132841
Coefficient of variation (CV)	0.030547032
Kurtosis	-0.65576682
Mean	36.444919
Median Absolute Deviation (MAD)	0.9084185
Skewness	-0.40366913
Sum	364449.19
Variance	1.2394015
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37.02572958	112	1.1%
35.191111	25	0.2%
37.213333	17	0.2%
35.293081	12	0.1%
37.218056	12	0.1%
37.208056	11	0.1%
37.21551361	10	0.1%
37.197778	10	0.1%
37.218333	10	0.1%
37.212155	10	0.1%
Other values (8131)	9771	97.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30.064286	1	< 0.1%
32.2148246	1	< 0.1%
32.3872201	1	< 0.1%
33.2227752	1	< 0.1%
33.223132	1	< 0.1%
33.22329497	1	< 0.1%
33.224959	1	< 0.1%
33.225046	1	< 0.1%
33.2260413	1	< 0.1%
33.227238	1	< 0.1%

Value	Count	Frequency (%)
39.01223711	1	< 0.1%
38.482611	1	< 0.1%
38.450531	2	< 0.1%
38.441437	2	< 0.1%
38.440802	2	< 0.1%
38.439968	2	< 0.1%
38.437938	2	< 0.1%
38.437731	2	< 0.1%
38.437641	2	< 0.1%
38.429111	2	< 0.1%

가로수길시작경도
Real number (ℝ)

HIGH CORRELATION

Distinct	8178
Distinct (%)	81.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	127.66098

Minimum	120.07693
Maximum	129.86392
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	120.07693
5-th percentile	126.60534
Q1	126.95693
median	127.39689
Q3	128.41569
95-th percentile	129.15573
Maximum	129.86392
Range	9.786986
Interquartile range (IQR)	1.4587577

Descriptive statistics

Standard deviation	0.85884108
Coefficient of variation (CV)	0.0067275143
Kurtosis	-0.26777942
Mean	127.66098
Median Absolute Deviation (MAD)	0.5767475
Skewness	0.36825794
Sum	1276609.8
Variance	0.737608
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
127.2834482	112	1.1%
126.799999	25	0.2%
126.961111	16	0.2%
126.955833	13	0.1%
127.047222	11	0.1%
127.113849	10	0.1%
126.958611	9	0.1%
127.2162724	8	0.1%
126.959722	8	0.1%
126.8797872	7	0.1%
Other values (8168)	9781	97.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
120.076932	1	< 0.1%
122.744352	1	< 0.1%
124.638112	1	< 0.1%
124.651001	1	< 0.1%
124.656735	1	< 0.1%
124.661425	1	< 0.1%
124.698303	1	< 0.1%
124.712001	1	< 0.1%
124.719575	1	< 0.1%
125.7099201	1	< 0.1%

Value	Count	Frequency (%)
129.863918	1	< 0.1%
129.492801	1	< 0.1%
129.443711	1	< 0.1%
129.443595	1	< 0.1%
129.4421429	1	< 0.1%
129.440065	1	< 0.1%
129.4372	1	< 0.1%
129.433886	1	< 0.1%
129.432678	1	< 0.1%
129.4325301	1	< 0.1%

가로수길종료위도
Real number (ℝ)

HIGH CORRELATION

Distinct	8265
Distinct (%)	82.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.446626

Minimum	26.305441
Maximum	39.590401
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	26.305441
5-th percentile	34.845466
Q1	35.375738
median	36.636007
Q3	37.45496
95-th percentile	37.902334
Maximum	39.590401
Range	13.28496
Interquartile range (IQR)	2.0792221

Descriptive statistics

Standard deviation	1.1149416
Coefficient of variation (CV)	0.030591078
Kurtosis	-0.12066882
Mean	36.446626
Median Absolute Deviation (MAD)	0.9019475
Skewness	-0.44928849
Sum	364466.26
Variance	1.2430947
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37.02572958	120	1.2%
35.191111	25	0.2%
37.210556	12	0.1%
37.218611	11	0.1%
37.216944	10	0.1%
35.283584	10	0.1%
37.211667	8	0.1%
37.206667	8	0.1%
38.22809944	8	0.1%
35.2314962	7	0.1%
Other values (8255)	9781	97.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
26.305441	1	< 0.1%
33.211408	1	< 0.1%
33.21187732	1	< 0.1%
33.222792	1	< 0.1%
33.2253931	1	< 0.1%
33.225887	1	< 0.1%
33.2285085	1	< 0.1%
33.232607	1	< 0.1%
33.23349467	1	< 0.1%
33.23469341	1	< 0.1%

Value	Count	Frequency (%)
39.590401	1	< 0.1%
38.547136	2	< 0.1%
38.485411	1	< 0.1%
38.484686	2	< 0.1%
38.460314	2	< 0.1%
38.453988	2	< 0.1%
38.450531	2	< 0.1%
38.448778	2	< 0.1%
38.440994	2	< 0.1%
38.439654	2	< 0.1%

가로수길종료경도
Real number (ℝ)

HIGH CORRELATION

Distinct	8305
Distinct (%)	83.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	127.66648

Minimum	124.62201
Maximum	158.23975
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	124.62201
5-th percentile	126.60762
Q1	126.9586
median	127.40115
Q3	128.41856
95-th percentile	129.15779
Maximum	158.23975
Range	33.617737
Interquartile range (IQR)	1.4599612

Descriptive statistics

Standard deviation	0.90748941
Coefficient of variation (CV)	0.0071082825
Kurtosis	127.52778
Mean	127.66648
Median Absolute Deviation (MAD)	0.5757695
Skewness	4.1986603
Sum	1276664.8
Variance	0.82353703
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
127.2834482	120	1.2%
126.799999	25	0.2%
126.956944	12	0.1%
127.048889	12	0.1%
127.103349	10	0.1%
126.961389	9	0.1%
127.2162724	8	0.1%
127.082778	7	0.1%
126.9612986	7	0.1%
127.735631	7	0.1%
Other values (8295)	9783	97.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
124.622011	1	< 0.1%
124.645542	1	< 0.1%
124.654329	1	< 0.1%
124.665939	1	< 0.1%
124.703036	1	< 0.1%
124.711159	1	< 0.1%
124.712131	1	< 0.1%
125.692624	1	< 0.1%
125.960444	1	< 0.1%
126.024555	1	< 0.1%

Value	Count	Frequency (%)
158.239748	1	< 0.1%
129.594063	1	< 0.1%
129.450279	1	< 0.1%
129.4494738	1	< 0.1%
129.447943	1	< 0.1%
129.442681	1	< 0.1%
129.441991	1	< 0.1%
129.441395	1	< 0.1%
129.439431	1	< 0.1%
129.4374	1	< 0.1%

가로수종류
Text

Distinct	1656
Distinct (%)	16.6%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	65
Median length	61
Mean length	6.3021
Min length	1

Characters and Unicode

Total characters	63021
Distinct characters	255
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

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

Unique

Unique	1088 ?
Unique (%)	10.9%

Sample

1st row	느티나무
2nd row	은행나무+해송
3rd row	은행나무
4th row	은행나무+버즘나무
5th row	버즘나무

Value	Count	Frequency (%)
은행나무	1418	13.5%
이팝나무	1018	9.7%
왕벚나무	1012	9.6%
느티나무	866	8.2%
벚나무	491	4.7%
배롱나무	182	1.7%
왕벚	152	1.4%
이팝	126	1.2%
중국단풍	124	1.2%
은행	119	1.1%
Other values (1520)	5021	47.7%

Most occurring characters

Value	Count	Frequency (%)
무	11811	18.7%
나	11686	18.5%
+	4668	7.4%
은	3055	4.8%
행	3047	4.8%
벚	2947	4.7%
이	2302	3.7%
왕	1983	3.1%
팝	1864	3.0%
느	1746	2.8%
Other values (245)	17912	28.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	56751	90.1%
Math Symbol	4668	7.4%
Space Separator	529	0.8%
Close Punctuation	424	0.7%
Open Punctuation	424	0.7%
Other Punctuation	165	0.3%
Decimal Number	58	0.1%
Uppercase Letter	1	< 0.1%
Connector Punctuation	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
무	11811	20.8%
나	11686	20.6%
은	3055	5.4%
행	3047	5.4%
벚	2947	5.2%
이	2302	4.1%
왕	1983	3.5%
팝	1864	3.3%
느	1746	3.1%
티	1725	3.0%
Other values (227)	14585	25.7%

Decimal Number

Value	Count	Frequency (%)
3	15	25.9%
2	11	19.0%
4	10	17.2%
1	9	15.5%
5	4	6.9%
7	3	5.2%
6	3	5.2%
0	2	3.4%
8	1	1.7%

Other Punctuation

Value	Count	Frequency (%)
,	162	98.2%
.	2	1.2%
?	1	0.6%

Math Symbol

Value	Count	Frequency (%)
+	4668	100.0%

Space Separator

Value	Count	Frequency (%)
	529	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	424	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	424	100.0%

Uppercase Letter

Value	Count	Frequency (%)
S	1	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	56751	90.1%
Common	6269	9.9%
Latin	1	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
무	11811	20.8%
나	11686	20.6%
은	3055	5.4%
행	3047	5.4%
벚	2947	5.2%
이	2302	4.1%
왕	1983	3.5%
팝	1864	3.3%
느	1746	3.1%
티	1725	3.0%
Other values (227)	14585	25.7%

Common

Value	Count	Frequency (%)
+	4668	74.5%
	529	8.4%
)	424	6.8%
(	424	6.8%
,	162	2.6%
3	15	0.2%
2	11	0.2%
4	10	0.2%
1	9	0.1%
5	4	0.1%
Other values (7)	13	0.2%

Latin

Value	Count	Frequency (%)
S	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	56751	90.1%
ASCII	6270	9.9%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
무	11811	20.8%
나	11686	20.6%
은	3055	5.4%
행	3047	5.4%
벚	2947	5.2%
이	2302	4.1%
왕	1983	3.5%
팝	1864	3.3%
느	1746	3.1%
티	1725	3.0%
Other values (227)	14585	25.7%

ASCII

Value	Count	Frequency (%)
+	4668	74.4%
	529	8.4%
)	424	6.8%
(	424	6.8%
,	162	2.6%
3	15	0.2%
2	11	0.2%
4	10	0.2%
1	9	0.1%
5	4	0.1%
Other values (8)	14	0.2%

가로수수량
Real number (ℝ)

MISSING

Distinct	1380
Distinct (%)	15.7%
Missing	1219
Missing (%)	12.2%
Infinite	0
Infinite (%)	0.0%
Mean	351.76408

Minimum	0
Maximum	38089
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	11
Q1	57
median	140
Q3	327
95-th percentile	1108
Maximum	38089
Range	38089
Interquartile range (IQR)	270

Descriptive statistics

Standard deviation	1144.3851
Coefficient of variation (CV)	3.2532746
Kurtosis	352.74359
Mean	351.76408
Median Absolute Deviation (MAD)	103
Skewness	16.082162
Sum	3088840.4
Variance	1309617.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60.0	58	0.6%
30.0	56	0.6%
50.0	54	0.5%
20.0	48	0.5%
44.0	48	0.5%
66.0	47	0.5%
40.0	47	0.5%
52.0	47	0.5%
77.0	47	0.5%
32.0	46	0.5%
Other values (1370)	8283	82.8%
(Missing)	1219	12.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	3	< 0.1%
0.1	1	< 0.1%
0.11	2	< 0.1%
0.12	1	< 0.1%
0.14	1	< 0.1%
0.15	1	< 0.1%
0.16	1	< 0.1%
0.18	4	< 0.1%
0.2	5	0.1%
0.24	1	< 0.1%

Value	Count	Frequency (%)
38089.0	1	< 0.1%
31280.0	1	< 0.1%
28000.0	1	< 0.1%
25000.0	1	< 0.1%
23611.0	1	< 0.1%
20215.0	1	< 0.1%
17877.0	2	< 0.1%
17277.0	2	< 0.1%
16785.0	2	< 0.1%
16641.0	1	< 0.1%

가로수길길이
Real number (ℝ)

Distinct	1739
Distinct (%)	17.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	240.18127

Minimum	0
Maximum	50465.4
Zeros	27
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0.2
Q1	0.58
median	1.5
Q3	5
95-th percentile	1276.25
Maximum	50465.4
Range	50465.4
Interquartile range (IQR)	4.42

Descriptive statistics

Standard deviation	1300.6782
Coefficient of variation (CV)	5.4154025
Kurtosis	504.18059
Mean	240.18127
Median Absolute Deviation (MAD)	1.17
Skewness	17.842009
Sum	2401812.7
Variance	1691763.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.0	480	4.8%
0.5	358	3.6%
0.2	324	3.2%
0.3	290	2.9%
0.4	288	2.9%
2.0	261	2.6%
0.6	217	2.2%
0.8	202	2.0%
0.7	186	1.9%
1.5	178	1.8%
Other values (1729)	7216	72.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	27	0.3%
0.01	2	< 0.1%
0.02	1	< 0.1%
0.027	1	< 0.1%
0.028	1	< 0.1%
0.029	1	< 0.1%
0.03	3	< 0.1%
0.035	1	< 0.1%
0.04	3	< 0.1%
0.044	2	< 0.1%

Value	Count	Frequency (%)
50465.4	1	< 0.1%
42340.0	1	< 0.1%
42200.0	1	< 0.1%
23050.0	2	< 0.1%
22148.0	1	< 0.1%
21470.0	2	< 0.1%
20000.0	1	< 0.1%
16156.8	2	< 0.1%
15600.0	1	< 0.1%
14389.7	2	< 0.1%

식재연도
Real number (ℝ)

MISSING

Distinct	57
Distinct (%)	1.5%
Missing	6131
Missing (%)	61.3%
Infinite	0
Infinite (%)	0.0%
Mean	2004.9411

Minimum	1900
Maximum	2023
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1900
5-th percentile	1985
Q1	1998
median	2007
Q3	2016
95-th percentile	2020
Maximum	2023
Range	123
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	14.417441
Coefficient of variation (CV)	0.007190955
Kurtosis	20.205003
Mean	2004.9411
Median Absolute Deviation (MAD)	9
Skewness	-3.2353699
Sum	7757117
Variance	207.86261
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2018	454	4.5%
2000	183	1.8%
2015	168	1.7%
2009	161	1.6%
1999	159	1.6%
2008	147	1.5%
1997	147	1.5%
2005	130	1.3%
2007	123	1.2%
2010	109	1.1%
Other values (47)	2088	20.9%
(Missing)	6131	61.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1900	29	0.3%
1905	2	< 0.1%
1948	1	< 0.1%
1969	1	< 0.1%
1970	8	0.1%
1971	5	0.1%
1972	4	< 0.1%
1973	6	0.1%
1975	2	< 0.1%
1976	3	< 0.1%

Value	Count	Frequency (%)
2023	18	0.2%
2022	45	0.4%
2021	67	0.7%
2020	98	1.0%
2019	91	0.9%
2018	454	4.5%
2017	97	1.0%
2016	99	1.0%
2015	168	1.7%
2014	103	1.0%

가로수길소개
Text

Distinct	4450
Distinct (%)	44.5%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	371
Median length	124
Mean length	21.9599
Min length	1

Characters and Unicode

Total characters	219599
Distinct characters	786
Distinct categories	14 ?
Distinct scripts	4 ?
Distinct blocks	6 ?

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

Unique

Unique	3222 ?
Unique (%)	32.2%

Sample

1st row	아름다운 도시녹화 조성
2nd row	은행나무,해송
3rd row	북평철길에서 이도사거리 버스정류장까지 이어지는 은행나무길
4th row	은행나무 벚나무가 있음
5th row	버즘나무가 있음

Value	Count	Frequency (%)
있음	2597	5.3%
아름다운	1383	2.8%
수	1241	2.5%
가로수길	1214	2.5%
식재되어	932	1.9%
있는	837	1.7%
조성	822	1.7%
느낄	803	1.6%
조성되어	680	1.4%
은행나무	640	1.3%
Other values (7218)	38238	77.4%

Most occurring characters

Value	Count	Frequency (%)
	39448	18.0%
나	8899	4.1%
무	8882	4.0%
로	8336	3.8%
가	6709	3.1%
수	4766	2.2%
길	4690	2.1%
있	4623	2.1%
이	4319	2.0%
어	3883	1.8%
Other values (776)	125044	56.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	174538	79.5%
Space Separator	39448	18.0%
Decimal Number	2108	1.0%
Other Punctuation	1940	0.9%
Math Symbol	502	0.2%
Open Punctuation	277	0.1%
Close Punctuation	277	0.1%
Lowercase Letter	157	0.1%
Dash Punctuation	124	0.1%
Connector Punctuation	113	0.1%
Other values (4)	115	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
나	8899	5.1%
무	8882	5.1%
로	8336	4.8%
가	6709	3.8%
수	4766	2.7%
길	4690	2.7%
있	4623	2.6%
이	4319	2.5%
어	3883	2.2%
을	3102	1.8%
Other values (721)	116329	66.6%

Uppercase Letter

Value	Count	Frequency (%)
I	25	24.0%
C	24	23.1%
S	10	9.6%
L	7	6.7%
K	6	5.8%
V	5	4.8%
E	5	4.8%
W	4	3.8%
H	3	2.9%
T	3	2.9%
Other values (6)	12	11.5%

Lowercase Letter

Value	Count	Frequency (%)
k	71	45.2%
m	69	43.9%
s	5	3.2%
b	4	2.5%
i	2	1.3%
e	1	0.6%
t	1	0.6%
l	1	0.6%
o	1	0.6%
c	1	0.6%

Decimal Number

Value	Count	Frequency (%)
1	602	28.6%
2	365	17.3%
0	243	11.5%
4	172	8.2%
3	155	7.4%
5	146	6.9%
7	131	6.2%
6	127	6.0%
9	88	4.2%
8	79	3.7%

Other Punctuation

Value	Count	Frequency (%)
,	1297	66.9%
.	508	26.2%
·	131	6.8%
/	2	0.1%
?	1	0.1%
@	1	0.1%

Math Symbol

Value	Count	Frequency (%)
+	324	64.5%
~	178	35.5%

Final Punctuation

Value	Count	Frequency (%)
’	5	83.3%
”	1	16.7%

Initial Punctuation

Value	Count	Frequency (%)
‘	3	75.0%
“	1	25.0%

Space Separator

Value	Count	Frequency (%)
	39448	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	277	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	277	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	124	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	113	100.0%

Other Symbol

Value	Count	Frequency (%)
㎞	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	174529	79.5%
Common	44800	20.4%
Latin	261	0.1%
Han	9	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
나	8899	5.1%
무	8882	5.1%
로	8336	4.8%
가	6709	3.8%
수	4766	2.7%
길	4690	2.7%
있	4623	2.6%
이	4319	2.5%
어	3883	2.2%
을	3102	1.8%
Other values (715)	116320	66.6%

Common

Value	Count	Frequency (%)
	39448	88.1%
,	1297	2.9%
1	602	1.3%
.	508	1.1%
2	365	0.8%
+	324	0.7%
(	277	0.6%
)	277	0.6%
0	243	0.5%
~	178	0.4%
Other values (18)	1281	2.9%

Latin

Value	Count	Frequency (%)
k	71	27.2%
m	69	26.4%
I	25	9.6%
C	24	9.2%
S	10	3.8%
L	7	2.7%
K	6	2.3%
s	5	1.9%
V	5	1.9%
E	5	1.9%
Other values (17)	34	13.0%

Han

Value	Count	Frequency (%)
小	2	22.2%
門	2	22.2%
四	2	22.2%
館	1	11.1%
均	1	11.1%
成	1	11.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	174529	79.5%
ASCII	44919	20.5%
None	131	0.1%
Punctuation	10	< 0.1%
CJK	9	< 0.1%
CJK Compat	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	39448	87.8%
,	1297	2.9%
1	602	1.3%
.	508	1.1%
2	365	0.8%
+	324	0.7%
(	277	0.6%
)	277	0.6%
0	243	0.5%
~	178	0.4%
Other values (39)	1400	3.1%

Hangul

Value	Count	Frequency (%)
나	8899	5.1%
무	8882	5.1%
로	8336	4.8%
가	6709	3.8%
수	4766	2.7%
길	4690	2.7%
있	4623	2.6%
이	4319	2.5%
어	3883	2.2%
을	3102	1.8%
Other values (715)	116320	66.6%

None

Value	Count	Frequency (%)
·	131	100.0%

Punctuation

Value	Count	Frequency (%)
’	5	50.0%
‘	3	30.0%
”	1	10.0%
“	1	10.0%

CJK

Value	Count	Frequency (%)
小	2	22.2%
門	2	22.2%
四	2	22.2%
館	1	11.1%
均	1	11.1%
成	1	11.1%

CJK Compat

Value	Count	Frequency (%)
㎞	1	100.0%

도로명
Text

MISSING

Distinct	3609
Distinct (%)	69.3%
Missing	4791
Missing (%)	47.9%
Memory size	156.2 KiB

Length

Max length	65
Median length	58
Mean length	5.2486082
Min length	2

Characters and Unicode

Total characters	27340
Distinct characters	497
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

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

Unique

Unique	2831 ?
Unique (%)	54.3%

Sample

1st row	에코중앙로
2nd row	동문로
3rd row	쇠재로
4th row	남사직로
5th row	삼도로

Value	Count	Frequency (%)
광주광역시	43	0.8%
남구	43	0.8%
도시계획도로	29	0.5%
지방도	23	0.4%
기타도로	20	0.4%
강릉대로	20	0.4%
도로	19	0.3%
금강산로	18	0.3%
마을권	18	0.3%
일주동로	17	0.3%
Other values (3617)	5349	95.5%

Most occurring characters

Value	Count	Frequency (%)
로	4315	15.8%
길	1566	5.7%
1	829	3.0%
도	822	3.0%
번	646	2.4%
대	641	2.3%
2	558	2.0%
산	493	1.8%
호	486	1.8%
동	410	1.5%
Other values (487)	16574	60.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	22629	82.8%
Decimal Number	3807	13.9%
Space Separator	390	1.4%
Math Symbol	191	0.7%
Open Punctuation	130	0.5%
Close Punctuation	130	0.5%
Other Punctuation	29	0.1%
Dash Punctuation	21	0.1%
Uppercase Letter	12	< 0.1%
Lowercase Letter	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	4315	19.1%
길	1566	6.9%
도	822	3.6%
번	646	2.9%
대	641	2.8%
산	493	2.2%
호	486	2.1%
동	410	1.8%
선	313	1.4%
남	292	1.3%
Other values (459)	12645	55.9%

Decimal Number

Value	Count	Frequency (%)
1	829	21.8%
2	558	14.7%
3	383	10.1%
4	334	8.8%
0	327	8.6%
7	310	8.1%
5	309	8.1%
9	259	6.8%
6	258	6.8%
8	240	6.3%

Uppercase Letter

Value	Count	Frequency (%)
C	2	16.7%
L	2	16.7%
A	2	16.7%
G	2	16.7%
I	1	8.3%
E	1	8.3%
P	1	8.3%
B	1	8.3%

Other Punctuation

Value	Count	Frequency (%)
/	18	62.1%
,	9	31.0%
.	2	6.9%

Math Symbol

Value	Count	Frequency (%)
+	173	90.6%
~	18	9.4%

Space Separator

Value	Count	Frequency (%)
	390	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	130	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	130	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	21	100.0%

Lowercase Letter

Value	Count	Frequency (%)
e	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	22629	82.8%
Common	4698	17.2%
Latin	13	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	4315	19.1%
길	1566	6.9%
도	822	3.6%
번	646	2.9%
대	641	2.8%
산	493	2.2%
호	486	2.1%
동	410	1.8%
선	313	1.4%
남	292	1.3%
Other values (459)	12645	55.9%

Common

Value	Count	Frequency (%)
1	829	17.6%
2	558	11.9%
	390	8.3%
3	383	8.2%
4	334	7.1%
0	327	7.0%
7	310	6.6%
5	309	6.6%
9	259	5.5%
6	258	5.5%
Other values (9)	741	15.8%

Latin

Value	Count	Frequency (%)
C	2	15.4%
L	2	15.4%
A	2	15.4%
G	2	15.4%
I	1	7.7%
E	1	7.7%
P	1	7.7%
e	1	7.7%
B	1	7.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	22629	82.8%
ASCII	4711	17.2%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
로	4315	19.1%
길	1566	6.9%
도	822	3.6%
번	646	2.9%
대	641	2.8%
산	493	2.2%
호	486	2.1%
동	410	1.8%
선	313	1.4%
남	292	1.3%
Other values (459)	12645	55.9%

ASCII

Value	Count	Frequency (%)
1	829	17.6%
2	558	11.8%
	390	8.3%
3	383	8.1%
4	334	7.1%
0	327	6.9%
7	310	6.6%
5	309	6.6%
9	259	5.5%
6	258	5.5%
Other values (18)	754	16.0%

도로종류
Categorical

Distinct	22
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

<NA>	5201
지방도	1199
시도	975
군도	816
구도	717
Other values (17)	1092

Length

Max length	14
Median length	4
Mean length	3.3811
Min length	2

Unique

Unique	7 ?
Unique (%)	0.1%

Sample

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

Common Values

Value	Count	Frequency (%)
<NA>	5201	52.0%
지방도	1199	12.0%
시도	975	9.8%
군도	816	8.2%
구도	717	7.2%
일반국도	505	5.1%
광역시도	496	5.0%
특별시도	33	0.3%
국도	21	0.2%
도시계획도로	14	0.1%
Other values (12)	23	0.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	5201	52.0%
지방도	1199	12.0%
시도	975	9.8%
군도	816	8.2%
구도	717	7.2%
일반국도	505	5.1%
광역시도	496	5.0%
특별시도	33	0.3%
국도	21	0.2%
도시계획도로	14	0.1%
Other values (12)	23	0.2%

도로구간
Text

Distinct	8301
Distinct (%)	83.0%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	125
Median length	54
Mean length	12.4506
Min length	1

Characters and Unicode

Total characters	124506
Distinct characters	774
Distinct categories	13 ?
Distinct scripts	3 ?
Distinct blocks	7 ?

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

Unique

Unique	6960 ?
Unique (%)	69.6%

Sample

1st row	에코중앙로
2nd row	여수역~종화동~중앙동로타리
3rd row	북평걸칠~이도사거리 버스정류장
4th row	탄리로
5th row	장미로

Value	Count	Frequency (%)
	1211	6.7%
앞	122	0.7%
입구	98	0.5%
퇴계동	77	0.4%
교차로	65	0.4%
일원	59	0.3%
동면	59	0.3%
진입로	57	0.3%
구간	56	0.3%
산	54	0.3%
Other values (11159)	16296	89.8%

Most occurring characters

Value	Count	Frequency (%)
	8258	6.6%
~	7237	5.8%
로	4462	3.6%
리	4115	3.3%
동	3192	2.6%
교	2845	2.3%
1	2503	2.0%
산	1924	1.5%
거	1884	1.5%
-	1759	1.4%
Other values (764)	86327	69.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	93081	74.8%
Decimal Number	11182	9.0%
Space Separator	8258	6.6%
Math Symbol	7361	5.9%
Dash Punctuation	1759	1.4%
Close Punctuation	910	0.7%
Open Punctuation	907	0.7%
Uppercase Letter	756	0.6%
Other Punctuation	129	0.1%
Lowercase Letter	127	0.1%
Other values (3)	36	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
로	4462	4.8%
리	4115	4.4%
동	3192	3.4%
교	2845	3.1%
산	1924	2.1%
거	1884	2.0%
사	1590	1.7%
대	1483	1.6%
길	1347	1.4%
구	1245	1.3%
Other values (694)	68994	74.1%

Uppercase Letter

Value	Count	Frequency (%)
C	133	17.6%
I	118	15.6%
S	82	10.8%
K	56	7.4%
A	56	7.4%
G	52	6.9%
L	39	5.2%
T	36	4.8%
B	29	3.8%
P	27	3.6%
Other values (15)	128	16.9%

Lowercase Letter

Value	Count	Frequency (%)
c	16	12.6%
s	15	11.8%
i	15	11.8%
e	14	11.0%
k	12	9.4%
m	12	9.4%
o	9	7.1%
l	8	6.3%
g	7	5.5%
a	5	3.9%
Other values (7)	14	11.0%

Decimal Number

Value	Count	Frequency (%)
1	2503	22.4%
2	1661	14.9%
3	1218	10.9%
4	1005	9.0%
5	939	8.4%
6	901	8.1%
7	799	7.1%
0	792	7.1%
9	694	6.2%
8	670	6.0%

Other Punctuation

Value	Count	Frequency (%)
,	69	53.5%
.	23	17.8%
@	21	16.3%
/	9	7.0%
·	4	3.1%
&	3	2.3%

Math Symbol

Value	Count	Frequency (%)
~	7237	98.3%
∼	83	1.1%
～	28	0.4%
+	13	0.2%

Other Symbol

Value	Count	Frequency (%)
㈜	22	95.7%
ⓐ	1	4.3%

Space Separator

Value	Count	Frequency (%)
	8258	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1759	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	910	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	907	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	12	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	93103	74.8%
Common	30520	24.5%
Latin	883	0.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
로	4462	4.8%
리	4115	4.4%
동	3192	3.4%
교	2845	3.1%
산	1924	2.1%
거	1884	2.0%
사	1590	1.7%
대	1483	1.6%
길	1347	1.4%
구	1245	1.3%
Other values (695)	69016	74.1%

Latin

Value	Count	Frequency (%)
C	133	15.1%
I	118	13.4%
S	82	9.3%
K	56	6.3%
A	56	6.3%
G	52	5.9%
L	39	4.4%
T	36	4.1%
B	29	3.3%
P	27	3.1%
Other values (32)	255	28.9%

Common

Value	Count	Frequency (%)
	8258	27.1%
~	7237	23.7%
1	2503	8.2%
-	1759	5.8%
2	1661	5.4%
3	1218	4.0%
4	1005	3.3%
5	939	3.1%
)	910	3.0%
(	907	3.0%
Other values (17)	4123	13.5%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	93079	74.8%
ASCII	31275	25.1%
Math Operators	83	0.1%
None	54	< 0.1%
Punctuation	12	< 0.1%
Compat Jamo	2	< 0.1%
Enclosed Alphanum	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8258	26.4%
~	7237	23.1%
1	2503	8.0%
-	1759	5.6%
2	1661	5.3%
3	1218	3.9%
4	1005	3.2%
5	939	3.0%
)	910	2.9%
(	907	2.9%
Other values (54)	4878	15.6%

Hangul

Value	Count	Frequency (%)
로	4462	4.8%
리	4115	4.4%
동	3192	3.4%
교	2845	3.1%
산	1924	2.1%
거	1884	2.0%
사	1590	1.7%
대	1483	1.6%
길	1347	1.4%
구	1245	1.3%
Other values (692)	68992	74.1%

Math Operators

Value	Count	Frequency (%)
∼	83	100.0%

None

Value	Count	Frequency (%)
～	28	51.9%
㈜	22	40.7%
·	4	7.4%

Punctuation

Value	Count	Frequency (%)
’	12	100.0%

Compat Jamo

Value	Count	Frequency (%)
ㆍ	1	50.0%
ㅔ	1	50.0%

Enclosed Alphanum

Value	Count	Frequency (%)
ⓐ	1	100.0%

관리기관전화번호
Text

MISSING

Distinct	191
Distinct (%)	2.1%
Missing	1033
Missing (%)	10.3%
Memory size	156.2 KiB

Length

Max length	13
Median length	12
Mean length	12.057767
Min length	11

Characters and Unicode

Total characters	108122
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

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

Unique

Unique	21 ?
Unique (%)	0.2%

Sample

1st row	032-453-2864
2nd row	061-659-4636
3rd row	033-530-2261
4th row	055-392-6213
5th row	031-940-4371

Value	Count	Frequency (%)
062-960-3938	382	4.3%
033-250-4113	306	3.4%
063-620-6439	249	2.8%
063-640-2535	223	2.5%
053-668-2856	219	2.4%
043-850-5844	204	2.3%
052-229-3323	183	2.0%
033-530-2261	178	2.0%
055-392-3202	171	1.9%
031-5189-6125	171	1.9%
Other values (181)	6681	74.5%

Most occurring characters

Value	Count	Frequency (%)
-	17934	16.6%
0	15576	14.4%
3	14287	13.2%
5	11448	10.6%
6	9806	9.1%
2	9560	8.8%
4	8751	8.1%
1	6694	6.2%
8	5566	5.1%
9	4481	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	90188	83.4%
Dash Punctuation	17934	16.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	15576	17.3%
3	14287	15.8%
5	11448	12.7%
6	9806	10.9%
2	9560	10.6%
4	8751	9.7%
1	6694	7.4%
8	5566	6.2%
9	4481	5.0%
7	4019	4.5%

Dash Punctuation

Value	Count	Frequency (%)
-	17934	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108122	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	17934	16.6%
0	15576	14.4%
3	14287	13.2%
5	11448	10.6%
6	9806	9.1%
2	9560	8.8%
4	8751	8.1%
1	6694	6.2%
8	5566	5.1%
9	4481	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108122	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	17934	16.6%
0	15576	14.4%
3	14287	13.2%
5	11448	10.6%
6	9806	9.1%
2	9560	8.8%
4	8751	8.1%
1	6694	6.2%
8	5566	5.1%
9	4481	4.1%

관리기관명
Text

MISSING

Distinct	184
Distinct (%)	2.0%
Missing	917
Missing (%)	9.2%
Memory size	156.2 KiB

Length

Max length	40
Median length	27
Mean length	9.9921832
Min length	6

Characters and Unicode

Total characters	90759
Distinct characters	140
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	14 ?
Unique (%)	0.2%

Sample

1st row	인천광역시 남동구청
2nd row	전라남도 여수시청
3rd row	강원특별자치도 동해시청
4th row	경상남도 양산시청
5th row	경기도 파주시

Value	Count	Frequency (%)
경기도	1218	6.3%
강원도	835	4.3%
경상북도	704	3.6%
서울특별시	650	3.4%
전라북도	634	3.3%
광주광역시	597	3.1%
인천광역시	570	2.9%
산림휴양과	514	2.7%
화성시청	514	2.7%
충청북도	499	2.6%
Other values (183)	12637	65.2%

Most occurring characters

Value	Count	Frequency (%)
	10322	11.4%
청	8537	9.4%
시	7322	8.1%
도	5722	6.3%
구	3618	4.0%
광	3587	4.0%
산	2627	2.9%
경	2546	2.8%
역	2540	2.8%
북	2188	2.4%
Other values (130)	41750	46.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	80381	88.6%
Space Separator	10322	11.4%
Close Punctuation	24	< 0.1%
Open Punctuation	24	< 0.1%
Math Symbol	7	< 0.1%
Other Punctuation	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
청	8537	10.6%
시	7322	9.1%
도	5722	7.1%
구	3618	4.5%
광	3587	4.5%
산	2627	3.3%
경	2546	3.2%
역	2540	3.2%
북	2188	2.7%
군	2131	2.7%
Other values (125)	39563	49.2%

Space Separator

Value	Count	Frequency (%)
	10322	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	24	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	24	100.0%

Math Symbol

Value	Count	Frequency (%)
+	7	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	80381	88.6%
Common	10378	11.4%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
청	8537	10.6%
시	7322	9.1%
도	5722	7.1%
구	3618	4.5%
광	3587	4.5%
산	2627	3.3%
경	2546	3.2%
역	2540	3.2%
북	2188	2.7%
군	2131	2.7%
Other values (125)	39563	49.2%

Common

Value	Count	Frequency (%)
	10322	99.5%
)	24	0.2%
(	24	0.2%
+	7	0.1%
,	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	80381	88.6%
ASCII	10378	11.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	10322	99.5%
)	24	0.2%
(	24	0.2%
+	7	0.1%
,	1	< 0.1%

Hangul

Value	Count	Frequency (%)
청	8537	10.6%
시	7322	9.1%
도	5722	7.1%
구	3618	4.5%
광	3587	4.5%
산	2627	3.3%
경	2546	3.2%
역	2540	3.2%
북	2188	2.7%
군	2131	2.7%
Other values (125)	39563	49.2%

데이터기준일자
Date

Distinct	140
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Minimum	2021-05-01 00:00:00
Maximum	2024-04-26 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

제공기관코드
Real number (ℝ)

Distinct	195
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4315012.2

Minimum	3000000
Maximum	6520000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	3000000
5-th percentile	3180000
Q1	3620000
median	4241000
Q3	4860000
95-th percentile	5670000
Maximum	6520000
Range	3520000
Interquartile range (IQR)	1240000

Descriptive statistics

Standard deviation	828358.64
Coefficient of variation (CV)	0.19197133
Kurtosis	-0.44133666
Mean	4315012.2
Median Absolute Deviation (MAD)	621000
Skewness	0.51093809
Sum	4.3150122 × 10¹⁰
Variance	6.8617804 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5530000	514	5.1%
3630000	382	3.8%
3780000	314	3.1%
3480000	220	2.2%
5380000	206	2.1%
4390000	204	2.0%
6310000	183	1.8%
5120000	170	1.7%
5070000	160	1.6%
3530000	158	1.6%
Other values (185)	7489	74.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3000000	49	0.5%
3010000	46	0.5%
3020000	4	< 0.1%
3030000	34	0.3%
3040000	29	0.3%
3080000	31	0.3%
3100000	47	0.5%
3110000	33	0.3%
3120000	41	0.4%
3140000	56	0.6%

Value	Count	Frequency (%)
6520000	147	1.5%
6310000	183	1.8%
5710000	8	0.1%
5700000	4	< 0.1%
5680000	50	0.5%
5670000	132	1.3%
5590000	16	0.2%
5570000	73	0.7%
5540000	30	0.3%
5530000	514	5.1%

제공기관명
Text

Distinct	195
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	12
Median length	11
Mean length	8.3899
Min length	5

Characters and Unicode

Total characters	83899
Distinct characters	120
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	13 ?
Unique (%)	0.1%

Sample

1st row	인천광역시 남동구
2nd row	전라남도 여수시
3rd row	강원특별자치도 동해시
4th row	경기도 성남시
5th row	경기도 성남시

Value	Count	Frequency (%)
경기도	1539	7.8%
서울특별시	776	3.9%
강원특별자치도	719	3.6%
경상북도	700	3.5%
강원도	690	3.5%
부산광역시	608	3.1%
광주광역시	597	3.0%
인천광역시	595	3.0%
전라남도	594	3.0%
경상남도	526	2.7%
Other values (161)	12473	62.9%

Most occurring characters

Value	Count	Frequency (%)
	9817	11.7%
시	8094	9.6%
도	6491	7.7%
광	3939	4.7%
구	3746	4.5%
경	2937	3.5%
역	2771	3.3%
남	2601	3.1%
군	2273	2.7%
북	2232	2.7%
Other values (110)	38998	46.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	74082	88.3%
Space Separator	9817	11.7%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	8094	10.9%
도	6491	8.8%
광	3939	5.3%
구	3746	5.1%
경	2937	4.0%
역	2771	3.7%
남	2601	3.5%
군	2273	3.1%
북	2232	3.0%
별	2025	2.7%
Other values (109)	36973	49.9%

Space Separator

Value	Count	Frequency (%)
	9817	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	74082	88.3%
Common	9817	11.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	8094	10.9%
도	6491	8.8%
광	3939	5.3%
구	3746	5.1%
경	2937	4.0%
역	2771	3.7%
남	2601	3.5%
군	2273	3.1%
북	2232	3.0%
별	2025	2.7%
Other values (109)	36973	49.9%

Common

Value	Count	Frequency (%)
	9817	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	74082	88.3%
ASCII	9817	11.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	9817	100.0%

Hangul

Value	Count	Frequency (%)
시	8094	10.9%
도	6491	8.8%
광	3939	5.3%
구	3746	5.1%
경	2937	4.0%
역	2771	3.7%
남	2601	3.5%
군	2273	3.1%
북	2232	3.0%
별	2025	2.7%
Other values (109)	36973	49.9%

Phik (φk)
Auto

Heatmap
Table

	가로수길시작위도	가로수길시작경도	가로수길종료위도	가로수길종료경도	가로수수량	가로수길길이	식재연도	도로종류	제공기관코드
가로수길시작위도	1.000	0.387	0.903	0.471	0.285	0.087	0.251	0.590	0.831
가로수길시작경도	0.387	1.000	0.420	0.766	0.000	0.000	0.226	0.628	0.533
가로수길종료위도	0.903	0.420	1.000	0.500	0.025	0.168	0.201	0.533	0.722
가로수길종료경도	0.471	0.766	0.500	1.000	0.000	0.000	0.226	0.388	0.611
가로수수량	0.285	0.000	0.025	0.000	1.000	0.000	0.000	0.287	0.112
가로수길길이	0.087	0.000	0.168	0.000	0.000	1.000	0.000	0.000	0.039
식재연도	0.251	0.226	0.201	0.226	0.000	0.000	1.000	0.388	0.289
도로종류	0.590	0.628	0.533	0.388	0.287	0.000	0.388	1.000	0.708
제공기관코드	0.831	0.533	0.722	0.611	0.112	0.039	0.289	0.708	1.000

Heatmap
Table

	가로수길시작위도	가로수길시작경도	가로수길종료위도	가로수길종료경도	가로수수량	가로수길길이	식재연도	제공기관코드	도로종류
가로수길시작위도	1.000	-0.140	0.996	-0.139	-0.067	0.066	-0.181	-0.239	0.290
가로수길시작경도	-0.140	1.000	-0.139	0.995	-0.044	0.234	-0.281	0.138	0.287
가로수길종료위도	0.996	-0.139	1.000	-0.139	-0.064	0.066	-0.183	-0.239	0.272
가로수길종료경도	-0.139	0.995	-0.139	1.000	-0.042	0.235	-0.279	0.137	0.341
가로수수량	-0.067	-0.044	-0.064	-0.042	1.000	0.459	-0.069	0.003	0.114
가로수길길이	0.066	0.234	0.066	0.235	0.459	1.000	-0.110	0.116	0.000
식재연도	-0.181	-0.281	-0.183	-0.279	-0.069	-0.110	1.000	0.070	0.259
제공기관코드	-0.239	0.138	-0.239	0.137	0.003	0.116	0.070	1.000	0.364
도로종류	0.290	0.287	0.272	0.341	0.114	0.000	0.259	0.364	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

	가로수길명	가로수길시작위도	가로수길시작경도	가로수길종료위도	가로수길종료경도	가로수종류	가로수수량	가로수길길이	식재연도	가로수길소개	도로명	도로종류	도로구간	관리기관전화번호	관리기관명	데이터기준일자	제공기관코드	제공기관명
577	에코중앙로	37.386348	126.711325	37.395711	126.730395	느티나무	378.0	2.19	<NA>	아름다운 도시녹화 조성	에코중앙로	구도	에코중앙로	032-453-2864	인천광역시 남동구청	2023-03-20	3530000	인천광역시 남동구
6164	동문로	34.751528	127.74494	34.740764	127.736469	은행나무+해송	355.0	2.6	<NA>	은행나무,해송	동문로	시도	여수역~종화동~중앙동로타리	061-659-4636	전라남도 여수시청	2023-04-12	4810000	전라남도 여수시
4645	북평철길~이도사거리 버스정류장	37.480311	129.115811	37.480511	129.113211	은행나무	4.0	0.25	1992	북평철길에서 이도사거리 버스정류장까지 이어지는 은행나무길	<NA>	<NA>	북평걸칠~이도사거리 버스정류장	033-530-2261	강원특별자치도 동해시청	2023-12-04	4211000	강원특별자치도 동해시
5880	탄리로	37.448631	127.133113	37.438102	127.140258	은행나무+버즘나무	<NA>	1.5	<NA>	은행나무 벚나무가 있음	<NA>	<NA>	탄리로	<NA>	<NA>	2023-02-24	3780000	경기도 성남시
5507	장미로	37.413789	127.124735	37.412914	127.142035	버즘나무	<NA>	1.9	<NA>	버즘나무가 있음	<NA>	<NA>	장미로	<NA>	<NA>	2023-02-24	3780000	경기도 성남시
9787	덕계회야길	35.374462	129.148022	35.369466	129.142327	왕벚나무	<NA>	0.564	<NA>	회야강을 따라 봄꽃나무인 왕벚나무로 조성된 가로수길로 하천변 산책로로 이어져 가벼운 운동과 경관을 즐길 수 있는 가로수 길	<NA>	<NA>	덕계회야길~덕계회야길	055-392-6213	경상남도 양산시청	2023-11-28	5380000	경상남도 양산시
9151	금촌 쇠재로 벚나무길	37.749565	126.767306	37.754051	126.777704	벚나무	356.0	1.4	2004	봄철 왕벚나무가 장관을 이루는 길	쇠재로	<NA>	파주경찰서~파주세무서	031-940-4371	경기도 파주시	2023-05-10	4060000	경기도 파주시
9619	쇄운삼거리~전천과선교	37.482888	129.091218	37.483211	129.077822	배롱나무+단풍나무	354.0	1.2	2016	쇄운삼거리에서 전천과선교까지 구성된 베롱나무길	<NA>	<NA>	쇄운삼거리~전천과선교	033-530-2261	강원특별자치도 동해시청	2023-12-04	4211000	강원특별자치도 동해시
9983	남사직로	36.108055	127.480382	36.106167	127.478176	은행나무	18.0	0.541	2012	남사직로	남사직로	군도	아인택지지구	041-750-3413	충청남도 금산군청	2023-11-28	4550000	충청남도 금산군
7889	함열 칠목리 감나무 가로수 조성	36.084308	126.967112	36.087327	126.979212	감나무	300.0	1.3	2007	유실수로 특색있는 가로수길 조성	<NA>	<NA>	칠목리입구	063-859-5886	전라북도 익산시청	2023-03-09	4680000	전라북도 익산시

	가로수길명	가로수길시작위도	가로수길시작경도	가로수길종료위도	가로수길종료경도	가로수종류	가로수수량	가로수길길이	식재연도	가로수길소개	도로명	도로종류	도로구간	관리기관전화번호	관리기관명	데이터기준일자	제공기관코드	제공기관명
69	영동고속도로	37.682821	128.695132	37.686333	128.695926	소나무	12.0	0.5	2006	도로변 은행나무가로수길 조성	영동고속도로	고속국도	대관령I.C매표소~대관령IC 사거리	033-330-2425	강원특별자치도 평창군청	2023-07-31	4281000	강원특별자치도 평창군
4827	임실시내	35.370301	127.165542	35.375187	127.172588	은행	429.0	2.5	1987	임실입구에서 시가지까지 조성된 은행나무 가로수길로 가을이면 노란단풍이 눈을 사로잡는다.	<NA>	일반국도	임실시내	063-640-2535	전라북도 임실군청	2023-12-08	4761000	전북특별자치도 임실군
3750	엑스포로	37.438414	129.158601	37.435982	129.147522	왕벚나무+느티나무	188.0	1.3	<NA>	오십천을 따라 조성된 엑스포로에 왕벚나무가 조성되어 봄철 멋진 풍경을 감상할 수 있음	엑스포로	시도	문화예술회관~건지동	033-570-3429	강원도 삼척시청	2022-06-23	4240000	강원도 삼척시
6785	광산마을	38.375963	128.415478	38.386618	128.413006	벚나무	52.0	400.0	<NA>	광산리에서 건봉사로 넘어가는 길에 조성된 가로수길	<NA>	지방도	광산리~해상리 농어촌도로(면도)	033-680-3422	강원특별자치도 고성군청	2023-09-11	4341000	강원특별자치도 고성군
9814	대동로	35.375926	129.026484	35.375751	129.018438	왕벚나무	<NA>	0.74	<NA>	왕벚나무로 구성되어 봄철 벚나무 길이 아름다움	<NA>	<NA>	대동로~대동로	055-392-3202	경상남도 양산시청	2023-11-28	5380000	경상남도 양산시
1694	산업로(19호선)	35.446927	127.369601	35.357101	127.436499	배롱나무	1743.0	13.0	<NA>	양 옆 배롱나무 식재 조성	<NA>	<NA>	서남대학교~구례경계	063-620-6439	전라북도 남원시청	2023-12-26	4701000	전북특별자치도 남원시
8901	생곡로	35.140995	128.974289	35.122578	128.894229	느티나무	187.0	3.9	1990	느티나무길로 여름철 그늘을 제공	생곡로	지방도	노산동 산5생곡동 1469	051-970-4521	부산광역시 강서구	2023-05-17	3360000	부산광역시 강서구
5413	성산로	34.896541	128.695852	34.901599	128.696415	은행나무	116.0	3.0	2002	옥포 혜성아파트에서 장미아파트까지 조성된 은행나무길	성산로	<NA>	장미아파트~혜성아파트	055-639-4324	경상남도 거제시	2023-12-08	5370000	경상남도 거제시
4279	제주감귤농협 성산지점	33.447204	126.915033	33.442166	126.911856	후박나무	<NA>	0.6	<NA>	제주감귤농협을 지나는 후박나무길	고성오조로+일주동로	<NA>	고성~읍사무소	064-760-3035	제주특별자치도 서귀포시청	2023-11-30	6520000	제주특별자치도 서귀포시
8077	둔산대로	36.364833	127.370208	36.364814	127.393117	은행+버즘+느티+메타+벚+낙우송	1086.0	2.2	1993	은행나무와 메타세쿼이아의 단풍을 느낄수 있고 버즘나무의 큰잎,느티나무, 메타세쿼이아가 만들어내는 그늘로 인하여 쾌적한 산책을 할 수 있는 가로수길	둔산대로	일반국도	갑천삼거리-평송수련원삼거리	042-288-3616	대전광역시 서구청	2023-05-31	3660000	대전광역시 서구

Overview

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Compat Jamo

Most occurring characters

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Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Math Symbol

Final Punctuation

Initial Punctuation

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation

Connector Punctuation

Other Symbol

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Han

Most occurring blocks

Most frequent character per block

ASCII

Hangul

None

Punctuation

CJK

CJK Compat