gimi9 Pandas Profiling

Dataset statistics

Number of variables	19
Number of observations	10000
Missing cells	24312
Missing cells (%)	12.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.6 MiB
Average record size in memory	166.0 B

Variable types

Text	10
Numeric	5
Categorical	3
Unsupported	1

Dataset

Description	포인트 wkt,시설물 id,링크id,시군구 코드,시군구명,읍면동 코드,읍면동명,시설코드,안심귀갓길 아이디,안심귀갓길 명,설치대수,비고,관리기관,전화번호,조성년월,시설물 최종점검일(사용안함),세부위치설명,데이터 기준일자,이미지명
Author	서울특별시
URL	https://data.seoul.go.kr/dataList/OA-21696/S/1/datasetView.do

Alerts

`조성년월` is highly overall correlated with `시군구 코드` and 3 other fields	High correlation
`시군구명` is highly overall correlated with `시군구 코드` and 3 other fields	High correlation
`시군구 코드` is highly overall correlated with `읍면동 코드` and 2 other fields	High correlation
`읍면동 코드` is highly overall correlated with `시군구 코드` and 2 other fields	High correlation
`시설코드` is highly overall correlated with `비고`	High correlation
`데이터 기준일자` is highly overall correlated with `시군구명` and 1 other fields	High correlation
`비고` is highly overall correlated with `시설코드`	High correlation
`비고` is highly imbalanced (88.3%)	Imbalance
`조성년월` is highly imbalanced (94.0%)	Imbalance
`관리기관` has 6428 (64.3%) missing values	Missing
`전화번호` has 6522 (65.2%) missing values	Missing
`시설물 최종점검일(사용안함)` has 10000 (100.0%) missing values	Missing
`세부위치설명` has 1362 (13.6%) missing values	Missing
`시설물 id` has unique values	Unique
`이미지명` has unique values	Unique
`시설물 최종점검일(사용안함)` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2023-12-11 06:30:15.881521
Analysis finished	2023-12-11 06:30:21.693532
Duration	5.81 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

포인트 wkt
Text

Distinct	7268
Distinct (%)	72.7%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	49
Median length	48
Mean length	36.0225
Min length	25

Characters and Unicode

Total characters	360225
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	5219 ?
Unique (%)	52.2%

Sample

1st row	POINT(126.908240 37.557157)
2nd row	POINT(126.921934 37.470110)
3rd row	POINT (127.1341723 37.5396479)
4th row	POINT(127.03446867838437129 37.51353832007701783)
5th row	POINT(127.0338233796029499 37.61267639202608137)

Value	Count	Frequency (%)
point	1034	4.9%
37.486382	7	< 0.1%
point(127.02994400000000041	6	< 0.1%
37.63602900000000062	6	< 0.1%
37.488762	6	< 0.1%
point(126.932692	5	< 0.1%
point(126.955243	5	< 0.1%
37.522111	5	< 0.1%
point(127.0855020000000053	5	< 0.1%
37.509035	5	< 0.1%
Other values (14330)	19951	94.8%

Most occurring characters

Value	Count	Frequency (%)
7	33158	9.2%
1	28674	8.0%
0	28586	7.9%
3	28153	7.8%
2	27915	7.7%
9	27176	7.5%
6	23515	6.5%
5	23264	6.5%
.	20000	5.6%
4	19491	5.4%
Other values (9)	100293	27.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	259190	72.0%
Uppercase Letter	50000	13.9%
Other Punctuation	20000	5.6%
Space Separator	11035	3.1%
Open Punctuation	10000	2.8%
Close Punctuation	10000	2.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	33158	12.8%
1	28674	11.1%
0	28586	11.0%
3	28153	10.9%
2	27915	10.8%
9	27176	10.5%
6	23515	9.1%
5	23264	9.0%
4	19491	7.5%
8	19258	7.4%

Uppercase Letter

Value	Count	Frequency (%)
O	10000	20.0%
T	10000	20.0%
N	10000	20.0%
I	10000	20.0%
P	10000	20.0%

Other Punctuation

Value	Count	Frequency (%)
.	20000	100.0%

Space Separator

Value	Count	Frequency (%)
	11035	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	10000	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	10000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	310225	86.1%
Latin	50000	13.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	33158	10.7%
1	28674	9.2%
0	28586	9.2%
3	28153	9.1%
2	27915	9.0%
9	27176	8.8%
6	23515	7.6%
5	23264	7.5%
.	20000	6.4%
4	19491	6.3%
Other values (4)	50293	16.2%

Latin

Value	Count	Frequency (%)
O	10000	20.0%
T	10000	20.0%
N	10000	20.0%
I	10000	20.0%
P	10000	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	360225	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	33158	9.2%
1	28674	8.0%
0	28586	7.9%
3	28153	7.8%
2	27915	7.7%
9	27176	7.5%
6	23515	6.5%
5	23264	6.5%
.	20000	5.6%
4	19491	5.4%
Other values (9)	100293	27.8%

시설물 id
Text

UNIQUE

Distinct	10000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	19
Median length	17
Mean length	17.0058
Min length	17

Characters and Unicode

Total characters	170058
Distinct characters	13
Distinct categories	4 ?
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	10000 ?
Unique (%)	100.0%

Sample

1st row	1144012300_10_P25
2nd row	1162010200_15_P18
3rd row	1174010900_02_P17
4th row	1168010800_05_P45
5th row	1130510100_06_P23

Value	Count	Frequency (%)
1144012300_10_p25	1	< 0.1%
1114016200_05_p19	1	< 0.1%
1144011000_05_p34	1	< 0.1%
1130510300_09_p12	1	< 0.1%
1135010500_09_p15	1	< 0.1%
1141011000_02_p23	1	< 0.1%
1165010100_16_p02	1	< 0.1%
1132010600_04_p36	1	< 0.1%
1156012800_20_p39	1	< 0.1%
1174010200_11_p11	1	< 0.1%
Other values (9990)	9990	99.9%

Most occurring characters

Value	Count	Frequency (%)
0	47283	27.8%
1	44813	26.4%
_	20000	11.8%
2	10012	5.9%
P	10000	5.9%
3	8275	4.9%
5	7029	4.1%
6	5785	3.4%
4	5621	3.3%
7	4226	2.5%
Other values (3)	7014	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	140029	82.3%
Connector Punctuation	20000	11.8%
Uppercase Letter	10000	5.9%
Dash Punctuation	29	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	47283	33.8%
1	44813	32.0%
2	10012	7.1%
3	8275	5.9%
5	7029	5.0%
6	5785	4.1%
4	5621	4.0%
7	4226	3.0%
8	3657	2.6%
9	3328	2.4%

Connector Punctuation

Value	Count	Frequency (%)
_	20000	100.0%

Uppercase Letter

Value	Count	Frequency (%)
P	10000	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	160058	94.1%
Latin	10000	5.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	47283	29.5%
1	44813	28.0%
_	20000	12.5%
2	10012	6.3%
3	8275	5.2%
5	7029	4.4%
6	5785	3.6%
4	5621	3.5%
7	4226	2.6%
8	3657	2.3%
Other values (2)	3357	2.1%

Latin

Value	Count	Frequency (%)
P	10000	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	170058	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	47283	27.8%
1	44813	26.4%
_	20000	11.8%
2	10012	5.9%
P	10000	5.9%
3	8275	4.9%
5	7029	4.1%
6	5785	3.4%
4	5621	3.3%
7	4226	2.5%
Other values (3)	7014	4.1%

링크id
Text

Distinct	2842
Distinct (%)	28.4%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	20
Median length	18
Mean length	18.0058
Min length	18

Characters and Unicode

Total characters	180058
Distinct characters	13
Distinct categories	4 ?
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	574 ?
Unique (%)	5.7%

Sample

1st row	1144012300_10_L007
2nd row	1162010200_15_L005
3rd row	1174010900_02_L006
4th row	1168010800_05_L012
5th row	1130510100_06_L010

Value	Count	Frequency (%)
1154510300_06_l002	21	0.2%
1117013000_06_l002	20	0.2%
1165010100_15_l006	20	0.2%
1114013800_01_l004	19	0.2%
1159010700_09_l002	17	0.2%
1130510300_14_l005	17	0.2%
1162010200_07_l006	17	0.2%
1156010800_02_l005	16	0.2%
1159010200_18_l003	16	0.2%
1135010300_08_l011	15	0.1%
Other values (2832)	9822	98.2%

Most occurring characters

Value	Count	Frequency (%)
0	62426	34.7%
1	43987	24.4%
_	20000	11.1%
L	10000	5.6%
2	8003	4.4%
3	7330	4.1%
5	6878	3.8%
6	5656	3.1%
4	5372	3.0%
7	4108	2.3%
Other values (3)	6298	3.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	150029	83.3%
Connector Punctuation	20000	11.1%
Uppercase Letter	10000	5.6%
Dash Punctuation	29	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	62426	41.6%
1	43987	29.3%
2	8003	5.3%
3	7330	4.9%
5	6878	4.6%
6	5656	3.8%
4	5372	3.6%
7	4108	2.7%
8	3345	2.2%
9	2924	1.9%

Connector Punctuation

Value	Count	Frequency (%)
_	20000	100.0%

Uppercase Letter

Value	Count	Frequency (%)
L	10000	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	170058	94.4%
Latin	10000	5.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	62426	36.7%
1	43987	25.9%
_	20000	11.8%
2	8003	4.7%
3	7330	4.3%
5	6878	4.0%
6	5656	3.3%
4	5372	3.2%
7	4108	2.4%
8	3345	2.0%
Other values (2)	2953	1.7%

Latin

Value	Count	Frequency (%)
L	10000	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	180058	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	62426	34.7%
1	43987	24.4%
_	20000	11.1%
L	10000	5.6%
2	8003	4.4%
3	7330	4.1%
5	6878	3.8%
6	5656	3.1%
4	5372	3.0%
7	4108	2.3%
Other values (3)	6298	3.5%

시군구 코드
Real number (ℝ)

HIGH CORRELATION

Distinct	25
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1434234 × 10⁹

Minimum	1.111 × 10⁹
Maximum	1.174 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1.111 × 10⁹
5-th percentile	1.114 × 10⁹
Q1	1.129 × 10⁹
median	1.141 × 10⁹
Q3	1.162 × 10⁹
95-th percentile	1.171 × 10⁹
Maximum	1.174 × 10⁹
Range	63000000
Interquartile range (IQR)	33000000

Descriptive statistics

Standard deviation	19379543
Coefficient of variation (CV)	0.016948703
Kurtosis	-1.3569399
Mean	1.1434234 × 10⁹
Median Absolute Deviation (MAD)	18000000
Skewness	0.0011222273
Sum	1.1434234 × 10¹³
Variance	3.7556669 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
1130500000	799	8.0%
1168000000	710	7.1%
1129000000	611	6.1%
1162000000	577	5.8%
1165000000	567	5.7%
1117000000	504	5.0%
1159000000	496	5.0%
1171000000	478	4.8%
1156000000	463	4.6%
1135000000	449	4.5%
Other values (15)	4346	43.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1111000000	390	3.9%
1114000000	332	3.3%
1117000000	504	5.0%
1120000000	165	1.7%
1121500000	235	2.4%
1123000000	359	3.6%
1126000000	387	3.9%
1129000000	611	6.1%
1130500000	799	8.0%
1132000000	277	2.8%

Value	Count	Frequency (%)
1174000000	412	4.1%
1171000000	478	4.8%
1168000000	710	7.1%
1165000000	567	5.7%
1162000000	577	5.8%
1159000000	496	5.0%
1156000000	463	4.6%
1154500000	186	1.9%
1153000000	266	2.7%
1150000000	318	3.2%

시군구명
Categorical

HIGH CORRELATION

Distinct	25
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

서울특별시 강북구	799
서울특별시 강남구	710
서울특별시 성북구	611
서울특별시 관악구	577
서울특별시 서초구	567
Other values (20)	6736

Length

Max length	10
Median length	9
Mean length	9.0864
Min length	8

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	서울특별시 마포구
2nd row	서울특별시 관악구
3rd row	서울특별시 강동구
4th row	서울특별시 강남구
5th row	서울특별시 강북구

Common Values

Value	Count	Frequency (%)
서울특별시 강북구	799	8.0%
서울특별시 강남구	710	7.1%
서울특별시 성북구	611	6.1%
서울특별시 관악구	577	5.8%
서울특별시 서초구	567	5.7%
서울특별시 용산구	504	5.0%
서울특별시 동작구	496	5.0%
서울특별시 송파구	478	4.8%
서울특별시 영등포구	463	4.6%
서울특별시 노원구	449	4.5%
Other values (15)	4346	43.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
서울특별시	10000	50.0%
강북구	799	4.0%
강남구	710	3.5%
성북구	611	3.1%
관악구	577	2.9%
서초구	567	2.8%
용산구	504	2.5%
동작구	496	2.5%
송파구	478	2.4%
영등포구	463	2.3%
Other values (16)	4795	24.0%

읍면동 코드
Real number (ℝ)

HIGH CORRELATION

Distinct	169
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1434347 × 10⁹

Minimum	1.111011 × 10⁹
Maximum	1.1740109 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1.111011 × 10⁹
5-th percentile	1.1140144 × 10⁹
Q1	1.1290119 × 10⁹
median	1.1410118 × 10⁹
Q3	1.1620102 × 10⁹
95-th percentile	1.1710114 × 10⁹
Maximum	1.1740109 × 10⁹
Range	62999900
Interquartile range (IQR)	32998300

Descriptive statistics

Standard deviation	19378738
Coefficient of variation (CV)	0.016947831
Kurtosis	-1.3570616
Mean	1.1434347 × 10⁹
Median Absolute Deviation (MAD)	17998900
Skewness	0.0012134877
Sum	1.1434347 × 10¹³
Variance	3.7553547 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1130510300	401	4.0%
1162010200	358	3.6%
1135010500	227	2.3%
1126010100	224	2.2%
1159010700	214	2.1%
1130510100	203	2.0%
1168010800	198	2.0%
1165010100	189	1.9%
1162010100	184	1.8%
1130510200	162	1.6%
Other values (159)	7640	76.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1111011000	30	0.3%
1111011200	14	0.1%
1111014900	37	0.4%
1111016800	13	0.1%
1111016900	29	0.3%
1111017300	63	0.6%
1111017400	84	0.8%
1111017500	21	0.2%
1111018100	51	0.5%
1111018200	21	0.2%

Value	Count	Frequency (%)
1174010900	57	0.6%
1174010800	64	0.6%
1174010700	62	0.6%
1174010600	38	0.4%
1174010500	91	0.9%
1174010200	56	0.6%
1174010100	44	0.4%
1171011400	90	0.9%
1171011200	30	0.3%
1171011100	52	0.5%

읍면동명
Text

Distinct	168
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	6
Median length	3
Mean length	3.1571
Min length	2

Characters and Unicode

Total characters	31571
Distinct characters	153
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	0 ?
Unique (%)	0.0%

Sample

1st row	망원동
2nd row	신림동
3rd row	천호동
4th row	논현동
5th row	미아동

Value	Count	Frequency (%)
수유동	401	4.0%
신림동	358	3.6%
상계동	227	2.3%
면목동	224	2.2%
사당동	214	2.1%
미아동	203	2.0%
논현동	198	2.0%
방배동	189	1.9%
봉천동	184	1.8%
번동	162	1.6%
Other values (158)	7640	76.4%

Most occurring characters

Value	Count	Frequency (%)
동	9998	31.7%
신	1111	3.5%
가	863	2.7%
림	540	1.7%
수	483	1.5%
방	449	1.4%
당	448	1.4%
상	403	1.3%
유	401	1.3%
현	392	1.2%
Other values (143)	16483	52.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	30912	97.9%
Decimal Number	659	2.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	9998	32.3%
신	1111	3.6%
가	863	2.8%
림	540	1.7%
수	483	1.6%
방	449	1.5%
당	448	1.4%
상	403	1.3%
유	401	1.3%
현	392	1.3%
Other values (136)	15824	51.2%

Decimal Number

Value	Count	Frequency (%)
2	214	32.5%
1	186	28.2%
3	105	15.9%
4	79	12.0%
6	32	4.9%
7	25	3.8%
5	18	2.7%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	30912	97.9%
Common	659	2.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	9998	32.3%
신	1111	3.6%
가	863	2.8%
림	540	1.7%
수	483	1.6%
방	449	1.5%
당	448	1.4%
상	403	1.3%
유	401	1.3%
현	392	1.3%
Other values (136)	15824	51.2%

Common

Value	Count	Frequency (%)
2	214	32.5%
1	186	28.2%
3	105	15.9%
4	79	12.0%
6	32	4.9%
7	25	3.8%
5	18	2.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	30912	97.9%
ASCII	659	2.1%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
동	9998	32.3%
신	1111	3.6%
가	863	2.8%
림	540	1.7%
수	483	1.6%
방	449	1.5%
당	448	1.4%
상	403	1.3%
유	401	1.3%
현	392	1.3%
Other values (136)	15824	51.2%

ASCII

Value	Count	Frequency (%)
2	214	32.5%
1	186	28.2%
3	105	15.9%
4	79	12.0%
6	32	4.9%
7	25	3.8%
5	18	2.7%

시설코드
Real number (ℝ)

HIGH CORRELATION

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	304.4212

Minimum	301
Maximum	308
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	301
5-th percentile	301
Q1	304
median	305
Q3	305
95-th percentile	307
Maximum	308
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.739337
Coefficient of variation (CV)	0.0057135869
Kurtosis	-0.42930489
Mean	304.4212
Median Absolute Deviation (MAD)	1
Skewness	-0.43891941
Sum	3044212
Variance	3.0252931
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
305	4740	47.4%
307	1470	14.7%
304	1278	12.8%
302	1227	12.3%
301	845	8.5%
303	317	3.2%
306	62	0.6%
308	61	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
301	845	8.5%
302	1227	12.3%
303	317	3.2%
304	1278	12.8%
305	4740	47.4%
306	62	0.6%
307	1470	14.7%
308	61	0.6%

Value	Count	Frequency (%)
308	61	0.6%
307	1470	14.7%
306	62	0.6%
305	4740	47.4%
304	1278	12.8%
303	317	3.2%
302	1227	12.3%
301	845	8.5%

안심귀갓길 아이디
Text

Distinct	362
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	15
Median length	13
Mean length	13.0058
Min length	13

Characters and Unicode

Total characters	130058
Distinct characters	12
Distinct categories	3 ?
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	0 ?
Unique (%)	0.0%

Sample

1st row	1144012300_10
2nd row	1162010200_15
3rd row	1174010900_02
4th row	1168010800_05
5th row	1130510100_06

Value	Count	Frequency (%)
1130510300_14	67	0.7%
1123010400_12	64	0.6%
1130510200_20	59	0.6%
1168010500_11	56	0.6%
1130510200_18	56	0.6%
1117012900_14	55	0.5%
1147010100_01	54	0.5%
1171011400_14	54	0.5%
1162010200_01	54	0.5%
1111018100_02	51	0.5%
Other values (352)	9430	94.3%

Most occurring characters

Value	Count	Frequency (%)
0	43696	33.6%
1	40707	31.3%
_	10000	7.7%
2	6536	5.0%
3	6002	4.6%
5	5855	4.5%
6	4731	3.6%
4	4117	3.2%
7	3249	2.5%
8	2719	2.1%
Other values (2)	2446	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	120029	92.3%
Connector Punctuation	10000	7.7%
Dash Punctuation	29	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	43696	36.4%
1	40707	33.9%
2	6536	5.4%
3	6002	5.0%
5	5855	4.9%
6	4731	3.9%
4	4117	3.4%
7	3249	2.7%
8	2719	2.3%
9	2417	2.0%

Connector Punctuation

Value	Count	Frequency (%)
_	10000	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	130058	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	43696	33.6%
1	40707	31.3%
_	10000	7.7%
2	6536	5.0%
3	6002	4.6%
5	5855	4.5%
6	4731	3.6%
4	4117	3.2%
7	3249	2.5%
8	2719	2.1%
Other values (2)	2446	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	130058	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	43696	33.6%
1	40707	31.3%
_	10000	7.7%
2	6536	5.0%
3	6002	4.6%
5	5855	4.5%
6	4731	3.6%
4	4117	3.2%
7	3249	2.5%
8	2719	2.1%
Other values (2)	2446	1.9%

안심귀갓길 명
Text

Distinct	362
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	8
Median length	6
Mean length	6.1361
Min length	6

Characters and Unicode

Total characters	61361
Distinct characters	54
Distinct categories	3 ?
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	0 ?
Unique (%)	0.0%

Sample

1st row	마포안심10
2nd row	관악안심15
3rd row	강동안심02
4th row	강남안심05
5th row	강북안심06

Value	Count	Frequency (%)
강북안심14	67	0.7%
동대문안심12	64	0.6%
강북안심20	59	0.6%
강남안심11	56	0.6%
강북안심18	56	0.6%
용산안심14	55	0.5%
양천안심01	54	0.5%
송파안심14	54	0.5%
관악안심01	54	0.5%
종로안심02	51	0.5%
Other values (352)	9430	94.3%

Most occurring characters

Value	Count	Frequency (%)
안	10000	16.3%
심	10000	16.3%
0	6411	10.4%
1	5100	8.3%
강	2057	3.4%
2	1836	3.0%
서	1575	2.6%
동	1432	2.3%
4	1326	2.2%
3	1102	1.8%
Other values (44)	20522	33.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	41303	67.3%
Decimal Number	20029	32.6%
Dash Punctuation	29	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
안	10000	24.2%
심	10000	24.2%
강	2057	5.0%
서	1575	3.8%
동	1432	3.5%
북	1087	2.6%
대	840	2.0%
문	840	2.0%
포	702	1.7%
남	635	1.5%
Other values (33)	12135	29.4%

Decimal Number

Value	Count	Frequency (%)
0	6411	32.0%
1	5100	25.5%
2	1836	9.2%
4	1326	6.6%
3	1102	5.5%
6	1077	5.4%
5	891	4.4%
9	790	3.9%
8	781	3.9%
7	715	3.6%

Dash Punctuation

Value	Count	Frequency (%)
-	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	41303	67.3%
Common	20058	32.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
안	10000	24.2%
심	10000	24.2%
강	2057	5.0%
서	1575	3.8%
동	1432	3.5%
북	1087	2.6%
대	840	2.0%
문	840	2.0%
포	702	1.7%
남	635	1.5%
Other values (33)	12135	29.4%

Common

Value	Count	Frequency (%)
0	6411	32.0%
1	5100	25.4%
2	1836	9.2%
4	1326	6.6%
3	1102	5.5%
6	1077	5.4%
5	891	4.4%
9	790	3.9%
8	781	3.9%
7	715	3.6%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	41303	67.3%
ASCII	20058	32.7%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
안	10000	24.2%
심	10000	24.2%
강	2057	5.0%
서	1575	3.8%
동	1432	3.5%
북	1087	2.6%
대	840	2.0%
문	840	2.0%
포	702	1.7%
남	635	1.5%
Other values (33)	12135	29.4%

ASCII

Value	Count	Frequency (%)
0	6411	32.0%
1	5100	25.4%
2	1836	9.2%
4	1326	6.6%
3	1102	5.5%
6	1077	5.4%
5	891	4.4%
9	790	3.9%
8	781	3.9%
7	715	3.6%

설치대수
Real number (ℝ)

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1181

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	6
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.47851362
Coefficient of variation (CV)	0.42797033
Kurtosis	28.082691
Mean	1.1181
Median Absolute Deviation (MAD)	0
Skewness	4.9895953
Sum	11181
Variance	0.22897529
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	9251	92.5%
2	476	4.8%
3	144	1.4%
4	102	1.0%
5	24	0.2%
6	3	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	9251	92.5%
2	476	4.8%
3	144	1.4%
4	102	1.0%
5	24	0.2%
6	3	< 0.1%

Value	Count	Frequency (%)
6	3	< 0.1%
5	24	0.2%
4	102	1.0%
3	144	1.4%
2	476	4.8%
1	9251	92.5%

비고
Categorical

HIGH CORRELATION IMBALANCE

Distinct	46
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

<NA>	9061
방범용 CCTV	527
다목적 CCTV	265
무단투기 단속용 CCTV	35
불법주정차 단속용 CCTV	26
Other values (41)	86

Length

Max length	21
Median length	4
Mean length	4.4251
Min length	3

Unique

Unique	22 ?
Unique (%)	0.2%

Sample

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

Common Values

Value	Count	Frequency (%)
<NA>	9061	90.6%
방범용 CCTV	527	5.3%
다목적 CCTV	265	2.6%
무단투기 단속용 CCTV	35	0.4%
불법주정차 단속용 CCTV	26	0.3%
308_안심길지도	12	0.1%
안심벨 위치 안내	5	0.1%
노드 바깥 시설물	5	0.1%
308_범죄예방미러시트	5	0.1%
308_안심반사경	4	< 0.1%
Other values (36)	55	0.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
na	9061	82.7%
cctv	859	7.8%
방범용	527	4.8%
다목적	265	2.4%
단속용	61	0.6%
무단투기	35	0.3%
불법주정차	26	0.2%
308_안심길지도	13	0.1%
안내	7	0.1%
바깥	5	< 0.1%
Other values (51)	99	0.9%

관리기관
Text

MISSING

Distinct	292
Distinct (%)	8.2%
Missing	6428
Missing (%)	64.3%
Memory size	156.2 KiB

Length

Max length	21
Median length	15
Mean length	9.4941209
Min length	3

Characters and Unicode

Total characters	33913
Distinct characters	205
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	31 ?
Unique (%)	0.9%

Sample

1st row	도봉경찰서 숭미파출소
2nd row	서울중랑경찰서
3rd row	창신파출소
4th row	금천구청 행정지원과
5th row	영등포경찰서 중앙지구대

Value	Count	Frequency (%)
강북경찰서	233	4.1%
성북구	225	3.9%
통합관제센터	194	3.4%
강남도시관제센터	162	2.8%
cctv	160	2.8%
관악구청	134	2.3%
동대문구	123	2.1%
cctv통합관제센터	118	2.1%
도로시설과	96	1.7%
노원경찰서	92	1.6%
Other values (310)	4195	73.2%

Most occurring characters

Value	Count	Frequency (%)
	2178	6.4%
서	1815	5.4%
구	1652	4.9%
경	1379	4.1%
찰	1372	4.0%
관	1236	3.6%
센	1090	3.2%
터	1090	3.2%
제	911	2.7%
대	884	2.6%
Other values (195)	20306	59.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	28932	85.3%
Space Separator	2178	6.4%
Uppercase Letter	1898	5.6%
Decimal Number	348	1.0%
Dash Punctuation	324	1.0%
Lowercase Letter	166	0.5%
Other Punctuation	23	0.1%
Open Punctuation	22	0.1%
Close Punctuation	22	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
서	1815	6.3%
구	1652	5.7%
경	1379	4.8%
찰	1372	4.7%
관	1236	4.3%
센	1090	3.8%
터	1090	3.8%
제	911	3.1%
대	884	3.1%
합	830	2.9%
Other values (174)	16673	57.6%

Uppercase Letter

Value	Count	Frequency (%)
C	802	42.3%
T	410	21.6%
V	392	20.7%
U	258	13.6%
I	18	0.9%
Y	18	0.9%

Decimal Number

Value	Count	Frequency (%)
2	152	43.7%
3	99	28.4%
1	48	13.8%
0	31	8.9%
4	16	4.6%
5	2	0.6%

Lowercase Letter

Value	Count	Frequency (%)
u	66	39.8%
c	50	30.1%
v	25	15.1%
t	25	15.1%

Space Separator

Value	Count	Frequency (%)
	2178	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	324	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	23	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	22	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	22	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	28932	85.3%
Common	2917	8.6%
Latin	2064	6.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
서	1815	6.3%
구	1652	5.7%
경	1379	4.8%
찰	1372	4.7%
관	1236	4.3%
센	1090	3.8%
터	1090	3.8%
제	911	3.1%
대	884	3.1%
합	830	2.9%
Other values (174)	16673	57.6%

Common

Value	Count	Frequency (%)
	2178	74.7%
-	324	11.1%
2	152	5.2%
3	99	3.4%
1	48	1.6%
0	31	1.1%
,	23	0.8%
(	22	0.8%
)	22	0.8%
4	16	0.5%

Latin

Value	Count	Frequency (%)
C	802	38.9%
T	410	19.9%
V	392	19.0%
U	258	12.5%
u	66	3.2%
c	50	2.4%
v	25	1.2%
t	25	1.2%
I	18	0.9%
Y	18	0.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	28932	85.3%
ASCII	4981	14.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2178	43.7%
C	802	16.1%
T	410	8.2%
V	392	7.9%
-	324	6.5%
U	258	5.2%
2	152	3.1%
3	99	2.0%
u	66	1.3%
c	50	1.0%
Other values (11)	250	5.0%

Hangul

Value	Count	Frequency (%)
서	1815	6.3%
구	1652	5.7%
경	1379	4.8%
찰	1372	4.7%
관	1236	4.3%
센	1090	3.8%
터	1090	3.8%
제	911	3.1%
대	884	3.1%
합	830	2.9%
Other values (174)	16673	57.6%

전화번호
Text

MISSING

Distinct	242
Distinct (%)	7.0%
Missing	6522
Missing (%)	65.2%
Memory size	156.2 KiB

Length

Max length	37
Median length	14
Mean length	12.118459
Min length	3

Characters and Unicode

Total characters	42148
Distinct characters	22
Distinct categories	9 ?
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	19 ?
Unique (%)	0.5%

Sample

1st row	02-2289-9881~3
2nd row	02-2171-0323
3rd row	02-763-4200
4th row	02-2627-2114
5th row	02-2118-9101

Value	Count	Frequency (%)
02-2241-3593~4	270	7.7%
02-3423-6771	163	4.6%
02-2127-4832~4	159	4.5%
02-2241-4450	96	2.7%
02-2092-0324	95	2.7%
02-944-4454	84	2.4%
02-2148-4301	72	2.1%
02-879-6782	71	2.0%
02-2091-4083~4	67	1.9%
02-3396-8045	64	1.8%
Other values (233)	2366	67.5%

Most occurring characters

Value	Count	Frequency (%)
2	7986	18.9%
-	6968	16.5%
0	6532	15.5%
4	3603	8.5%
1	3435	8.1%
3	3034	7.2%
8	2316	5.5%
9	2219	5.3%
7	1908	4.5%
5	1620	3.8%
Other values (12)	2527	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	34259	81.3%
Dash Punctuation	6968	16.5%
Math Symbol	542	1.3%
Other Letter	174	0.4%
Open Punctuation	58	0.1%
Close Punctuation	58	0.1%
Other Punctuation	58	0.1%
Space Separator	29	0.1%
Control	2	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	7986	23.3%
0	6532	19.1%
4	3603	10.5%
1	3435	10.0%
3	3034	8.9%
8	2316	6.8%
9	2219	6.5%
7	1908	5.6%
5	1620	4.7%
6	1606	4.7%

Other Letter

Value	Count	Frequency (%)
간	58	33.3%
주	29	16.7%
야	29	16.7%
휴	29	16.7%
일	29	16.7%

Dash Punctuation

Value	Count	Frequency (%)
-	6968	100.0%

Math Symbol

Value	Count	Frequency (%)
~	542	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	58	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	58	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	58	100.0%

Space Separator

Value	Count	Frequency (%)
	29	100.0%

Control

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	41974	99.6%
Hangul	174	0.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	7986	19.0%
-	6968	16.6%
0	6532	15.6%
4	3603	8.6%
1	3435	8.2%
3	3034	7.2%
8	2316	5.5%
9	2219	5.3%
7	1908	4.5%
5	1620	3.9%
Other values (7)	2353	5.6%

Hangul

Value	Count	Frequency (%)
간	58	33.3%
주	29	16.7%
야	29	16.7%
휴	29	16.7%
일	29	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41974	99.6%
Hangul	174	0.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	7986	19.0%
-	6968	16.6%
0	6532	15.6%
4	3603	8.6%
1	3435	8.2%
3	3034	7.2%
8	2316	5.5%
9	2219	5.3%
7	1908	4.5%
5	1620	3.9%
Other values (7)	2353	5.6%

Hangul

Value	Count	Frequency (%)
간	58	33.3%
주	29	16.7%
야	29	16.7%
휴	29	16.7%
일	29	16.7%

조성년월
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

<NA>	9841
2015	104
2013	28
2014	26
	1

Length

Max length	4
Median length	4
Mean length	3.9997
Min length	1

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

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

Common Values

Value	Count	Frequency (%)
<NA>	9841	98.4%
2015	104	1.0%
2013	28	0.3%
2014	26	0.3%
	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	9841	98.4%
2015	104	1.0%
2013	28	0.3%
2014	26	0.3%

시설물 최종점검일(사용안함)
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	10000
Missing (%)	100.0%
Memory size	166.0 KiB

세부위치설명
Text

MISSING

Distinct	4094
Distinct (%)	47.4%
Missing	1362
Missing (%)	13.6%
Memory size	156.2 KiB

Length

Max length	26
Median length	21
Mean length	7.5603149
Min length	2

Characters and Unicode

Total characters	65306
Distinct characters	851
Distinct categories	10 ?
Distinct scripts	4 ?
Distinct blocks	4 ?

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

Unique

Unique	1912 ?
Unique (%)	22.1%

Sample

1st row	오백도씨 옆
2nd row	대일이엔지(주)
3rd row	우리전기
4th row	세민빌딩 앞
5th row	바다수산 앞

Value	Count	Frequency (%)
앞	3357	22.4%
옆	1052	7.0%
gs25	129	0.9%
건너편	71	0.5%
다산로42길	64	0.4%
세븐일레븐	58	0.4%
cu	37	0.2%
뒤	36	0.2%
어린이공원	32	0.2%
삼거리	28	0.2%
Other values (4316)	10133	67.6%

Most occurring characters

Value	Count	Frequency (%)
	6564	10.1%
앞	3778	5.8%
옆	1180	1.8%
빌	1080	1.7%
동	963	1.5%
이	935	1.4%
2	835	1.3%
로	779	1.2%
원	767	1.2%
라	726	1.1%
Other values (841)	47699	73.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	51968	79.6%
Space Separator	6564	10.1%
Decimal Number	3451	5.3%
Uppercase Letter	2204	3.4%
Lowercase Letter	731	1.1%
Dash Punctuation	121	0.2%
Other Punctuation	89	0.1%
Open Punctuation	88	0.1%
Close Punctuation	88	0.1%
Math Symbol	2	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
앞	3778	7.3%
옆	1180	2.3%
빌	1080	2.1%
동	963	1.9%
이	935	1.8%
로	779	1.5%
원	767	1.5%
라	726	1.4%
점	719	1.4%
길	703	1.4%
Other values (767)	40338	77.6%

Uppercase Letter

Value	Count	Frequency (%)
S	243	11.0%
C	242	11.0%
G	198	9.0%
U	196	8.9%
A	151	6.9%
E	145	6.6%
O	105	4.8%
I	96	4.4%
N	95	4.3%
B	88	4.0%
Other values (16)	645	29.3%

Lowercase Letter

Value	Count	Frequency (%)
e	87	11.9%
a	83	11.4%
s	72	9.8%
c	60	8.2%
o	46	6.3%
g	40	5.5%
m	33	4.5%
u	32	4.4%
r	32	4.4%
l	32	4.4%
Other values (15)	214	29.3%

Decimal Number

Value	Count	Frequency (%)
2	835	24.2%
1	545	15.8%
5	501	14.5%
4	394	11.4%
3	377	10.9%
6	221	6.4%
0	171	5.0%
8	149	4.3%
7	142	4.1%
9	116	3.4%

Other Punctuation

Value	Count	Frequency (%)
&	23	25.8%
.	18	20.2%
?	18	20.2%
,	18	20.2%
!	5	5.6%
/	3	3.4%
#	2	2.2%
'	2	2.2%

Space Separator

Value	Count	Frequency (%)
	6564	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	121	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	88	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	88	100.0%

Math Symbol

Value	Count	Frequency (%)
+	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	51966	79.6%
Common	10403	15.9%
Latin	2935	4.5%
Han	2	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
앞	3778	7.3%
옆	1180	2.3%
빌	1080	2.1%
동	963	1.9%
이	935	1.8%
로	779	1.5%
원	767	1.5%
라	726	1.4%
점	719	1.4%
길	703	1.4%
Other values (765)	40336	77.6%

Latin

Value	Count	Frequency (%)
S	243	8.3%
C	242	8.2%
G	198	6.7%
U	196	6.7%
A	151	5.1%
E	145	4.9%
O	105	3.6%
I	96	3.3%
N	95	3.2%
B	88	3.0%
Other values (41)	1376	46.9%

Common

Value	Count	Frequency (%)
	6564	63.1%
2	835	8.0%
1	545	5.2%
5	501	4.8%
4	394	3.8%
3	377	3.6%
6	221	2.1%
0	171	1.6%
8	149	1.4%
7	142	1.4%
Other values (13)	504	4.8%

Han

Value	Count	Frequency (%)
巢	1	50.0%
猜	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	51951	79.6%
ASCII	13338	20.4%
Compat Jamo	15	< 0.1%
CJK	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6564	49.2%
2	835	6.3%
1	545	4.1%
5	501	3.8%
4	394	3.0%
3	377	2.8%
S	243	1.8%
C	242	1.8%
6	221	1.7%
G	198	1.5%
Other values (64)	3218	24.1%

Hangul

Value	Count	Frequency (%)
앞	3778	7.3%
옆	1180	2.3%
빌	1080	2.1%
동	963	1.9%
이	935	1.8%
로	779	1.5%
원	767	1.5%
라	726	1.4%
점	719	1.4%
길	703	1.4%
Other values (761)	40321	77.6%

Compat Jamo

Value	Count	Frequency (%)
ㅇ	6	40.0%
ㅅ	3	20.0%
ㄹ	3	20.0%
ㅋ	3	20.0%

CJK

Value	Count	Frequency (%)
巢	1	50.0%
猜	1	50.0%

데이터 기준일자
Real number (ℝ)

HIGH CORRELATION

Distinct	64
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20220972

Minimum	20220727
Maximum	20221203
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	20220727
5-th percentile	20220802
Q1	20220906
median	20221006
Q3	20221107
95-th percentile	20221114
Maximum	20221203
Range	476
Interquartile range (IQR)	201

Descriptive statistics

Standard deviation	114.47522
Coefficient of variation (CV)	5.6612127 × 10^-6
Kurtosis	-0.96355804
Mean	20220972
Median Absolute Deviation (MAD)	101
Skewness	-0.27744063
Sum	2.0220972 × 10¹¹
Variance	13104.577
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20221109	726	7.3%
20221108	578	5.8%
20221107	569	5.7%
20220818	341	3.4%
20220915	334	3.3%
20221006	326	3.3%
20221014	309	3.1%
20221005	295	2.9%
20220914	284	2.8%
20221110	278	2.8%
Other values (54)	5960	59.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20220727	184	1.8%
20220728	1	< 0.1%
20220729	175	1.8%
20220730	1	< 0.1%
20220802	200	2.0%
20220805	40	0.4%
20220809	153	1.5%
20220812	155	1.6%
20220818	341	3.4%
20220819	141	1.4%

Value	Count	Frequency (%)
20221203	65	0.7%
20221121	50	0.5%
20221117	90	0.9%
20221116	172	1.7%
20221115	95	0.9%
20221114	34	0.3%
20221111	108	1.1%
20221110	278	2.8%
20221109	726	7.3%
20221108	578	5.8%

이미지명
Text

UNIQUE

Distinct	10000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	28
Median length	26
Mean length	26.0058
Min length	26

Characters and Unicode

Total characters	260058
Distinct characters	18
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	10000 ?
Unique (%)	100.0%

Sample

1st row	1144012300_10_P25_305.jpeg
2nd row	1162010200_15_P18_305.jpeg
3rd row	1174010900_02_P17_305.jpeg
4th row	1168010800_05_P45_305.jpeg
5th row	1130510100_06_P23_304.jpeg

Value	Count	Frequency (%)
1144012300_10_p25_305.jpeg	1	< 0.1%
1114016200_05_p19_305.jpeg	1	< 0.1%
1144011000_05_p34_305.jpeg	1	< 0.1%
1130510300_09_p12_307.jpeg	1	< 0.1%
1135010500_09_p15_304.jpeg	1	< 0.1%
1141011000_02_p23_305.jpeg	1	< 0.1%
1165010100_16_p02_307.jpeg	1	< 0.1%
1132010600_04_p36_305.jpeg	1	< 0.1%
1156012800_20_p39_305.jpeg	1	< 0.1%
1174010200_11_p11_304.jpeg	1	< 0.1%
Other values (9990)	9990	99.9%

Most occurring characters

Value	Count	Frequency (%)
0	57283	22.0%
1	45658	17.6%
_	30000	11.5%
3	18592	7.1%
5	11769	4.5%
2	11239	4.3%
p	10000	3.8%
g	10000	3.8%
e	10000	3.8%
j	10000	3.8%
Other values (8)	45517	17.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	170029	65.4%
Lowercase Letter	40000	15.4%
Connector Punctuation	30000	11.5%
Other Punctuation	10000	3.8%
Uppercase Letter	10000	3.8%
Dash Punctuation	29	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	57283	33.7%
1	45658	26.9%
3	18592	10.9%
5	11769	6.9%
2	11239	6.6%
4	6899	4.1%
6	5847	3.4%
7	5696	3.4%
8	3718	2.2%
9	3328	2.0%

Lowercase Letter

Value	Count	Frequency (%)
p	10000	25.0%
g	10000	25.0%
e	10000	25.0%
j	10000	25.0%

Connector Punctuation

Value	Count	Frequency (%)
_	30000	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	10000	100.0%

Uppercase Letter

Value	Count	Frequency (%)
P	10000	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	210058	80.8%
Latin	50000	19.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	57283	27.3%
1	45658	21.7%
_	30000	14.3%
3	18592	8.9%
5	11769	5.6%
2	11239	5.4%
.	10000	4.8%
4	6899	3.3%
6	5847	2.8%
7	5696	2.7%
Other values (3)	7075	3.4%

Latin

Value	Count	Frequency (%)
p	10000	20.0%
g	10000	20.0%
e	10000	20.0%
j	10000	20.0%
P	10000	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	260058	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	57283	22.0%
1	45658	17.6%
_	30000	11.5%
3	18592	7.1%
5	11769	4.5%
2	11239	4.3%
p	10000	3.8%
g	10000	3.8%
e	10000	3.8%
j	10000	3.8%
Other values (8)	45517	17.5%

Heatmap
Table

	시군구 코드	시군구명	읍면동 코드	시설코드	설치대수	비고	조성년월	데이터 기준일자
시군구 코드	1.000	1.000	1.000	0.246	0.172	0.657	1.000	0.922
시군구명	1.000	1.000	1.000	0.406	0.268	0.811	1.000	0.964
읍면동 코드	1.000	1.000	1.000	0.249	0.170	0.664	1.000	0.914
시설코드	0.246	0.406	0.249	1.000	0.335	0.996	0.000	0.172
설치대수	0.172	0.268	0.170	0.335	1.000	0.000	0.000	0.106
비고	0.657	0.811	0.664	0.996	0.000	1.000	0.178	0.388
조성년월	1.000	1.000	1.000	0.000	0.000	0.178	1.000	1.000
데이터 기준일자	0.922	0.964	0.914	0.172	0.106	0.388	1.000	1.000

Heatmap
Table

	비고	조성년월	시군구명
비고	1.000	0.267	0.301
조성년월	0.267	1.000	0.997
시군구명	0.301	0.997	1.000

Heatmap
Table

	시군구 코드	읍면동 코드	시설코드	설치대수	데이터 기준일자	시군구명	비고	조성년월
시군구 코드	1.000	0.999	0.005	-0.083	0.218	0.999	0.284	0.997
읍면동 코드	0.999	1.000	0.005	-0.083	0.218	0.999	0.284	0.997
시설코드	0.005	0.005	1.000	-0.131	-0.006	0.165	0.896	0.000
설치대수	-0.083	-0.083	-0.131	1.000	0.001	0.123	0.000	0.000
데이터 기준일자	0.218	0.218	-0.006	0.001	1.000	0.786	0.140	0.994
시군구명	0.999	0.999	0.165	0.123	0.786	1.000	0.301	0.997
비고	0.284	0.284	0.896	0.000	0.140	0.301	1.000	0.267
조성년월	0.997	0.997	0.000	0.000	0.994	0.997	0.267	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

	포인트 wkt	시설물 id	링크id	시군구 코드	시군구명	읍면동 코드	읍면동명	시설코드	안심귀갓길 아이디	안심귀갓길 명	설치대수	비고	관리기관	전화번호	조성년월	시설물 최종점검일(사용안함)	세부위치설명	데이터 기준일자	이미지명
6346	POINT(126.908240 37.557157)	1144012300_10_P25	1144012300_10_L007	1144000000	서울특별시 마포구	1144012300	망원동	305	1144012300_10	마포안심10	1	<NA>	<NA>	<NA>	<NA>	<NA>	오백도씨 옆	20220905	1144012300_10_P25_305.jpeg
9148	POINT(126.921934 37.470110)	1162010200_15_P18	1162010200_15_L005	1162000000	서울특별시 관악구	1162010200	신림동	305	1162010200_15	관악안심15	1	<NA>	<NA>	<NA>	<NA>	<NA>	대일이엔지(주)	20220928	1162010200_15_P18_305.jpeg
11863	POINT (127.1341723 37.5396479)	1174010900_02_P17	1174010900_02_L006	1174000000	서울특별시 강동구	1174010900	천호동	305	1174010900_02	강동안심02	1	<NA>	<NA>	<NA>	<NA>	<NA>	우리전기	20221107	1174010900_02_P17_305.jpeg
10575	POINT(127.03446867838437129 37.51353832007701783)	1168010800_05_P45	1168010800_05_L012	1168000000	서울특별시 강남구	1168010800	논현동	305	1168010800_05	강남안심05	1	<NA>	<NA>	<NA>	<NA>	<NA>	세민빌딩 앞	20221107	1168010800_05_P45_305.jpeg
3737	POINT(127.0338233796029499 37.61267639202608137)	1130510100_06_P23	1130510100_06_L010	1130500000	서울특별시 강북구	1130510100	미아동	304	1130510100_06	강북안심06	1	<NA>	<NA>	<NA>	<NA>	<NA>	바다수산 앞	20221013	1130510100_06_P23_304.jpeg
10574	POINT(127.03448582895236996 37.51334836540168993)	1168010800_05_P44	1168010800_05_L012	1168000000	서울특별시 강남구	1168010800	논현동	305	1168010800_05	강남안심05	1	<NA>	<NA>	<NA>	<NA>	<NA>	개미엔터테인먼트 앞	20221107	1168010800_05_P44_305.jpeg
954	POINT(126.972239 37.546846)	1117010500_05_P37	1117010500_05_L005	1117000000	서울특별시 용산구	1117010500	남영동	305	1117010500_05	용산안심05	1	<NA>	<NA>	<NA>	<NA>	<NA>	현대오일뱅크	20220906	1117010500_05_P37_305.jpeg
3916	POINT(127.03299251902610933 37.6381636875647132)	1130510200_19_P42	1130510200_19_L016	1130500000	서울특별시 강북구	1130510200	번동	304	1130510200_19	강북안심19	1	<NA>	<NA>	<NA>	<NA>	<NA>	금촌슈퍼 앞	20221006	1130510200_19_P42_304.jpeg
4597	POINT (127.019325791674 37.654468462236)	1132010500_12_P43	1132010500_12_L004	1132000000	서울특별시 도봉구	1132010500	쌍문동	307	1132010500_12	도봉안심12	1	<NA>	도봉경찰서 숭미파출소	02-2289-9881~3	<NA>	<NA>	스위트빌 옆	20220915	1132010500_12_P43_307.jpeg
2750	POINT(127.09791742314904184 37.59648502719701213)	1126010500_01_P15	1126010500_01_L005	1126000000	서울특별시 중랑구	1126010500	망우동	307	1126010500_01	중랑안심01	1	<NA>	서울중랑경찰서	02-2171-0323	<NA>	<NA>	<NA>	20220818	1126010500_01_P15_307.jpeg

	포인트 wkt	시설물 id	링크id	시군구 코드	시군구명	읍면동 코드	읍면동명	시설코드	안심귀갓길 아이디	안심귀갓길 명	설치대수	비고	관리기관	전화번호	조성년월	시설물 최종점검일(사용안함)	세부위치설명	데이터 기준일자	이미지명
7027	POINT(126.886520 37.487154)	1153010200_05_P21	1153010200_05_L002	1153000000	서울특별시 구로구	1153010200	구로동	305	1153010200_05	구로안심05	1	<NA>	<NA>	<NA>	<NA>	<NA>	남구로교회	20220727	1153010200_05_P21_305.jpeg
9034	POINT(126.935472 37.471989)	1162010200_10_P04	1162010200_10_L003	1162000000	서울특별시 관악구	1162010200	신림동	304	1162010200_10	관악안심10	1	<NA>	<NA>	<NA>	<NA>	<NA>	GS25관악서림점	20220925	1162010200_10_P04_304.jpeg
1312	POINT(127.001957 37.531839)	1117013100_09_P08	1117013100_09_L002	1117000000	서울특별시 용산구	1117013100	한남동	307	1117013100_09	용산안심09	1	<NA>	용산경찰서 한남파출소	02-1459-0173	<NA>	<NA>	우사단로10다길20 앞	20220914	1117013100_09_P08_307.jpeg
3406	POINT(127.04364900843536645 37.61420930319293632)	1129013800_06_P03	1129013800_06_L001	1129000000	서울특별시 성북구	1129013800	장위동	301	1129013800_06	종암안심06	1	<NA>	U-성북 도시통합관제센터	02-2241-4450	<NA>	<NA>	<NA>	20220927	1129013800_06_P03_301.jpeg
3453	POINT(127.04768900000000542 37.61695000000000277)	1129013800_06_P55	1129013800_06_L014	1129000000	서울특별시 성북구	1129013800	장위동	305	1129013800_06	종암안심06	1	<NA>	성북구	02-2241-3593~4	<NA>	<NA>	장곡초등학교 옆	20220927	1129013800_06_P55_305.jpeg
2868	POINT(127.00407851091719635 37.58911228720875641)	1129010200_13_P11	1129010200_13_L003	1129000000	서울특별시 성북구	1129010200	성북동1가	304	1129010200_13	성북안심13	1	<NA>	성북구	<NA>	<NA>	<NA>	히도커피 앞	20220923	1129010200_13_P11_304.jpeg
9398	POINT(127.001347 37.480049)	1165010100_14_P22	1165010100_14_L004	1165000000	서울특별시 서초구	1165010100	방배동	307	1165010100_14	서초안심14	1	<NA>	방배경찰서 남태령지구대	02-582-8410	<NA>	<NA>	GS25 방배아트자이점	20221018	1165010100_14_P22_307.jpeg
6924	POINT(126.815151 37.563738)	1150010900_07_P24	1150010900_07_L011	1150000000	서울특별시 강서구	1150010900	방화동	305	1150010900_07	강서안심07	1	<NA>	<NA>	<NA>	<NA>	<NA>	초원로16길 84 앞	20221025	1150010900_07_P24_305.jpeg
11499	POINT (127.1552873 37.5611946)	1174010200_12_P22	1174010200_12_L006	1174000000	서울특별시 강동구	1174010200	고덕동	305	1174010200_12	강동안심12	1	<NA>	<NA>	<NA>	<NA>	<NA>	102커피	20221107	1174010200_12_P22_305.jpeg
3469	POINT(127.0574946387946369 37.60915943834928754)	1129013900_01_P12	1129013900_01_L004	1129000000	서울특별시 성북구	1129013900	석관동	303	1129013900_01	종암안심01	1	<NA>	<NA>	<NA>	<NA>	<NA>	<NA>	20220927	1129013900_01_P12_303.jpeg

Overview

Variables

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

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Connector Punctuation

Uppercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Connector Punctuation

Uppercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

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

Decimal Number

Connector Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Dash Punctuation

Most occurring scripts