gimi9 Pandas Profiling

Dataset statistics

Number of variables	34
Number of observations	100
Missing cells	19
Missing cells (%)	0.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	28.0 KiB
Average record size in memory	286.3 B

Variable types

Numeric	11
Text	9
Categorical	13
Boolean	1

Dataset

Description	Sample
Author	국립중앙도서관
URL	https://www.bigdata-culture.kr/bigdata/user/data_market/detail.do?id=7461f23e-8958-417b-be03-7ede86ab760b

Alerts

`part_year` is highly imbalanced (56.1%)	Imbalance
`main_lib` is highly imbalanced (50.0%)	Imbalance
`first_loan_year` has 7 (7.0%) missing values	Missing
`lib_alias` has 3 (3.0%) missing values	Missing
`addr_old` has 3 (3.0%) missing values	Missing
`lib_name_nl` has 3 (3.0%) missing values	Missing
`lib_name_origin` has 3 (3.0%) missing values	Missing
`lib_code` has unique values	Unique
`lib_name` has unique values	Unique
`addr` has unique values	Unique
`lib_latitude` has unique values	Unique
`lib_longitude` has unique values	Unique
`lib_sign` has unique values	Unique
`api_lib_sign` has unique values	Unique
`tel` has unique values	Unique
`lib_utmk_x` has unique values	Unique
`lib_utmk_y` has unique values	Unique

Reproduction

Analysis started	2023-12-10 09:55:18.139222
Analysis finished	2023-12-10 09:55:19.780086
Duration	1.64 second
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

lib_code
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2141.78

Minimum	100
Maximum	29528
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	100
5-th percentile	104.95
Q1	703.5
median	1503.5
Q3	1825.25
95-th percentile	2202.05
Maximum	29528
Range	29428
Interquartile range (IQR)	1121.75

Descriptive statistics

Standard deviation	4884.5734
Coefficient of variation (CV)	2.280614
Kurtosis	28.723448
Mean	2141.78
Median Absolute Deviation (MAD)	324
Skewness	5.4328164
Sum	214178
Variance	23859058
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1500	1	1.0%
102	1	1.0%
303	1	1.0%
302	1	1.0%
301	1	1.0%
300	1	1.0%
108	1	1.0%
107	1	1.0%
106	1	1.0%
105	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
100	1	1.0%
101	1	1.0%
102	1	1.0%
103	1	1.0%
104	1	1.0%
105	1	1.0%
106	1	1.0%
107	1	1.0%
108	1	1.0%
300	1	1.0%

Value	Count	Frequency (%)
29528	1	1.0%
29527	1	1.0%
29526	1	1.0%
2600	1	1.0%
2203	1	1.0%
2202	1	1.0%
2200	1	1.0%
1844	1	1.0%
1843	1	1.0%
1842	1	1.0%

lib_name
Text

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	17
Median length	14
Mean length	10.33
Min length	5

Characters and Unicode

Total characters	1033
Distinct characters	168
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	100 ?
Unique (%)	100.0%

Sample

1st row	포천시립중앙도서관
2nd row	경상북도교육청 봉화도서관
3rd row	포천시립일동도서관
4th row	포천시립영중꿈나무도서관
5th row	포천시립영북도서관

Value	Count	Frequency (%)
오산시	6	3.8%
장량동	6	3.8%
인천	4	2.5%
서구	4	2.5%
효곡동	3	1.9%
흥해읍	3	1.9%
경상북도교육청	3	1.9%
작은도서관	3	1.9%
중앙도서관	2	1.3%
오천읍	2	1.3%
Other values (118)	122	77.2%

Most occurring characters

Value	Count	Frequency (%)
도	108	10.5%
서	105	10.2%
관	102	9.9%
	58	5.6%
은	40	3.9%
작	38	3.7%
동	28	2.7%
시	28	2.7%
립	25	2.4%
산	13	1.3%
Other values (158)	488	47.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	975	94.4%
Space Separator	58	5.6%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
도	108	11.1%
서	105	10.8%
관	102	10.5%
은	40	4.1%
작	38	3.9%
동	28	2.9%
시	28	2.9%
립	25	2.6%
산	13	1.3%
천	13	1.3%
Other values (157)	475	48.7%

Space Separator

Value	Count	Frequency (%)
	58	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	975	94.4%
Common	58	5.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
도	108	11.1%
서	105	10.8%
관	102	10.5%
은	40	4.1%
작	38	3.9%
동	28	2.9%
시	28	2.9%
립	25	2.6%
산	13	1.3%
천	13	1.3%
Other values (157)	475	48.7%

Common

Value	Count	Frequency (%)
	58	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	975	94.4%
ASCII	58	5.6%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
도	108	11.1%
서	105	10.8%
관	102	10.5%
은	40	4.1%
작	38	3.9%
동	28	2.9%
시	28	2.9%
립	25	2.6%
산	13	1.3%
천	13	1.3%
Other values (157)	475	48.7%

ASCII

Value	Count	Frequency (%)
	58	100.0%

addr
Text

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	39
Median length	31
Mean length	20.79
Min length	14

Characters and Unicode

Total characters	2079
Distinct characters	173
Distinct categories	7 ?
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	100 ?
Unique (%)	100.0%

Sample

1st row	경기도 포천시 신북면 중앙로207번길 26
2nd row	경상북도 봉화군 봉화읍 내성로3길 6
3rd row	경기도 포천시 일동면 화동로 1021
4th row	경기도 포천시 영중면 양문로 151
5th row	경기도 포천시 영북면 운천안길 3

Value	Count	Frequency (%)
경상북도	43	8.8%
포항시	40	8.2%
북구	22	4.5%
남구	20	4.1%
경기도	19	3.9%
서울특별시	19	3.9%
동대문구	10	2.0%
인천광역시	10	2.0%
성북구	9	1.8%
오산시	7	1.4%
Other values (233)	291	59.4%

Most occurring characters

Value	Count	Frequency (%)
	391	18.8%
시	99	4.8%
로	83	4.0%
북	78	3.8%
구	74	3.6%
도	71	3.4%
경	68	3.3%
1	66	3.2%
2	55	2.6%
상	49	2.4%
Other values (163)	1045	50.3%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1326	63.8%
Space Separator	391	18.8%
Decimal Number	336	16.2%
Dash Punctuation	16	0.8%
Other Punctuation	8	0.4%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	99	7.5%
로	83	6.3%
북	78	5.9%
구	74	5.6%
도	71	5.4%
경	68	5.1%
상	49	3.7%
포	47	3.5%
길	47	3.5%
항	40	3.0%
Other values (148)	670	50.5%

Decimal Number

Value	Count	Frequency (%)
1	66	19.6%
2	55	16.4%
3	34	10.1%
6	32	9.5%
0	28	8.3%
8	28	8.3%
5	26	7.7%
9	23	6.8%
4	22	6.5%
7	22	6.5%

Space Separator

Value	Count	Frequency (%)
	391	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	16	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	8	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1326	63.8%
Common	753	36.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	99	7.5%
로	83	6.3%
북	78	5.9%
구	74	5.6%
도	71	5.4%
경	68	5.1%
상	49	3.7%
포	47	3.5%
길	47	3.5%
항	40	3.0%
Other values (148)	670	50.5%

Common

Value	Count	Frequency (%)
	391	51.9%
1	66	8.8%
2	55	7.3%
3	34	4.5%
6	32	4.2%
0	28	3.7%
8	28	3.7%
5	26	3.5%
9	23	3.1%
4	22	2.9%
Other values (5)	48	6.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1326	63.8%
ASCII	753	36.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	391	51.9%
1	66	8.8%
2	55	7.3%
3	34	4.5%
6	32	4.2%
0	28	3.7%
8	28	3.7%
5	26	3.5%
9	23	3.1%
4	22	2.9%
Other values (5)	48	6.4%

Hangul

Value	Count	Frequency (%)
시	99	7.5%
로	83	6.3%
북	78	5.9%
구	74	5.6%
도	71	5.4%
경	68	5.1%
상	49	3.7%
포	47	3.5%
길	47	3.5%
항	40	3.0%
Other values (148)	670	50.5%

lib_latitude
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.713663

Minimum	34.636783
Maximum	38.087682
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	34.636783
5-th percentile	35.153654
Q1	36.024937
median	37.062418
Q3	37.549637
95-th percentile	37.625266
Maximum	38.087682
Range	3.4508991
Interquartile range (IQR)	1.5246999

Descriptive statistics

Standard deviation	0.87949961
Coefficient of variation (CV)	0.023955649
Kurtosis	-1.0302457
Mean	36.713663
Median Absolute Deviation (MAD)	0.8519252
Skewness	-0.35562532
Sum	3671.3663
Variance	0.77351956
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37.9053026	1	1.0%
37.5998987	1	1.0%
37.3535029	1	1.0%
37.3576815	1	1.0%
37.387659	1	1.0%
37.3422301	1	1.0%
37.5990302	1	1.0%
37.6117293	1	1.0%
37.604481	1	1.0%
37.6047207	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
34.6367834	1	1.0%
34.8049913	1	1.0%
34.8618204	1	1.0%
34.8732994	1	1.0%
35.1395202	1	1.0%
35.1543981	1	1.0%
35.1765283	1	1.0%
35.3252568	1	1.0%
35.96289	1	1.0%
35.96402	1	1.0%

Value	Count	Frequency (%)
38.0876825	1	1.0%
38.0056285	1	1.0%
37.9549363	1	1.0%
37.9053026	1	1.0%
37.8484029	1	1.0%
37.613522	1	1.0%
37.6117293	1	1.0%
37.6114625	1	1.0%
37.6048486	1	1.0%
37.6047207	1	1.0%

lib_longitude
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	128.08229

Minimum	126.46149
Maximum	130.90145
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	126.46149
5-th percentile	126.71259
Q1	127.01395
median	127.25974
Q3	129.36269
95-th percentile	129.41053
Maximum	130.90145
Range	4.43996
Interquartile range (IQR)	2.3487455

Descriptive statistics

Standard deviation	1.2007165
Coefficient of variation (CV)	0.0093745713
Kurtosis	-1.7110537
Mean	128.08229
Median Absolute Deviation (MAD)	0.59243105
Skewness	0.204315
Sum	12808.229
Variance	1.4417202
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
127.206376	1	1.0%
127.013975	1	1.0%
126.971653	1	1.0%
126.970498	1	1.0%
126.982053	1	1.0%
126.969448	1	1.0%
127.035098	1	1.0%
127.010749	1	1.0%
127.031316	1	1.0%
127.010585	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
126.461486	1	1.0%
126.666328	1	1.0%
126.6682828	1	1.0%
126.6731937	1	1.0%
126.6782612	1	1.0%
126.714393	1	1.0%
126.727425	1	1.0%
126.737013	1	1.0%
126.7394883	1	1.0%
126.740173	1	1.0%

Value	Count	Frequency (%)
130.901446	1	1.0%
129.552533	1	1.0%
129.437424	1	1.0%
129.416446	1	1.0%
129.4115	1	1.0%
129.410481	1	1.0%
129.40569	1	1.0%
129.40438	1	1.0%
129.403442	1	1.0%
129.4016	1	1.0%

address1
Categorical

Distinct	8
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

경상북도	43
경기도	19
서울특별시	19
인천광역시	10
경상남도	4
Other values (3)	5

Length

Max length	5
Median length	4
Mean length	4.12
Min length	3

Unique

Unique	2 ?
Unique (%)	2.0%

Sample

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

Common Values

Value	Count	Frequency (%)
경상북도	43	43.0%
경기도	19	19.0%
서울특별시	19	19.0%
인천광역시	10	10.0%
경상남도	4	4.0%
광주광역시	3	3.0%
강원도	1	1.0%
전라남도	1	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
경상북도	43	43.0%
경기도	19	19.0%
서울특별시	19	19.0%
인천광역시	10	10.0%
경상남도	4	4.0%
광주광역시	3	3.0%
강원도	1	1.0%
전라남도	1	1.0%

address2
Categorical

Distinct	19
Distinct (%)	19.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

포항시 북구	21
포항시 남구	19
동대문구	10
성북구	9
오산시	7
Other values (14)	34

Length

Max length	6
Median length	4
Mean length	4.23
Min length	2

Unique

Unique	9 ?
Unique (%)	9.0%

Sample

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

Common Values

Value	Count	Frequency (%)
포항시 북구	21	21.0%
포항시 남구	19	19.0%
동대문구	10	10.0%
성북구	9	9.0%
오산시	7	7.0%
의왕시	7	7.0%
부평구	6	6.0%
포천시	5	5.0%
서구	4	4.0%
통영시	3	3.0%
Other values (9)	9	9.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
포항시	40	28.6%
북구	22	15.7%
남구	20	14.3%
동대문구	10	7.1%
성북구	9	6.4%
오산시	7	5.0%
의왕시	7	5.0%
부평구	6	4.3%
포천시	5	3.6%
서구	4	2.9%
Other values (8)	10	7.1%

lib_sign
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	178241.13

Minimum	111044
Maximum	747016
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	111044
5-th percentile	111122.45
Q1	128051.25
median	147012
Q3	147122.25
95-th percentile	711079.05
Maximum	747016
Range	635972
Interquartile range (IQR)	19071

Descriptive statistics

Standard deviation	151802.93
Coefficient of variation (CV)	0.8516717
Kurtosis	9.7772603
Mean	178241.13
Median Absolute Deviation (MAD)	5679.5
Skewness	3.3830421
Sum	17824113
Variance	2.3044129 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
141333	1	1.0%
111048	1	1.0%
141111	1	1.0%
141237	1	1.0%
141039	1	1.0%
141120	1	1.0%
111188	1	1.0%
111437	1	1.0%
111302	1	1.0%
111380	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
111044	1	1.0%
111048	1	1.0%
111053	1	1.0%
111065	1	1.0%
111112	1	1.0%
111123	1	1.0%
111188	1	1.0%
111219	1	1.0%
111301	1	1.0%
111302	1	1.0%

Value	Count	Frequency (%)
747016	1	1.0%
747006	1	1.0%
747005	1	1.0%
711081	1	1.0%
711080	1	1.0%
711079	1	1.0%
711002	1	1.0%
148238	1	1.0%
148122	1	1.0%
148100	1	1.0%

api_lib_sign
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	178241.13

Minimum	111044
Maximum	747016
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	111044
5-th percentile	111122.45
Q1	128051.25
median	147012
Q3	147122.25
95-th percentile	711079.05
Maximum	747016
Range	635972
Interquartile range (IQR)	19071

Descriptive statistics

Standard deviation	151802.93
Coefficient of variation (CV)	0.8516717
Kurtosis	9.7772603
Mean	178241.13
Median Absolute Deviation (MAD)	5679.5
Skewness	3.3830421
Sum	17824113
Variance	2.3044129 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
141333	1	1.0%
111048	1	1.0%
141111	1	1.0%
141237	1	1.0%
141039	1	1.0%
141120	1	1.0%
111188	1	1.0%
111437	1	1.0%
111302	1	1.0%
111380	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
111044	1	1.0%
111048	1	1.0%
111053	1	1.0%
111065	1	1.0%
111112	1	1.0%
111123	1	1.0%
111188	1	1.0%
111219	1	1.0%
111301	1	1.0%
111302	1	1.0%

Value	Count	Frequency (%)
747016	1	1.0%
747006	1	1.0%
747005	1	1.0%
711081	1	1.0%
711080	1	1.0%
711079	1	1.0%
711002	1	1.0%
148238	1	1.0%
148122	1	1.0%
148100	1	1.0%

tel
Text

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	14
Median length	12
Mean length	12.08
Min length	11

Characters and Unicode

Total characters	1208
Distinct characters	13
Distinct categories	4 ?
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	100 ?
Unique (%)	100.0%

Sample

1st row	031-538-3911
2nd row	054-673-0973
3rd row	031-538-3932
4th row	031-538-3945
5th row	031-538-3972

Value	Count	Frequency (%)
031-538-3911	1	1.0%
02-962-1081	1	1.0%
031-345-3691	1	1.0%
031-345-2631	1	1.0%
031-345-3641	1	1.0%
02-6925-6920	1	1.0%
02-2038-4423	1	1.0%
02-911-0993	1	1.0%
02-2038-9928	1	1.0%
02-960-5067	1	1.0%
Other values (90)	90	90.0%

Most occurring characters

Value	Count	Frequency (%)
0	215	17.8%
-	200	16.6%
2	128	10.6%
5	120	9.9%
3	117	9.7%
4	91	7.5%
1	88	7.3%
6	79	6.5%
9	62	5.1%
7	60	5.0%
Other values (3)	48	4.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1006	83.3%
Dash Punctuation	200	16.6%
Open Punctuation	1	0.1%
Other Letter	1	0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	215	21.4%
2	128	12.7%
5	120	11.9%
3	117	11.6%
4	91	9.0%
1	88	8.7%
6	79	7.9%
9	62	6.2%
7	60	6.0%
8	46	4.6%

Dash Punctuation

Value	Count	Frequency (%)
-	200	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Other Letter

Value	Count	Frequency (%)
종	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1207	99.9%
Hangul	1	0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	215	17.8%
-	200	16.6%
2	128	10.6%
5	120	9.9%
3	117	9.7%
4	91	7.5%
1	88	7.3%
6	79	6.5%
9	62	5.1%
7	60	5.0%
Other values (2)	47	3.9%

Hangul

Value	Count	Frequency (%)
종	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1207	99.9%
Hangul	1	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	215	17.8%
-	200	16.6%
2	128	10.6%
5	120	9.9%
3	117	9.7%
4	91	7.5%
1	88	7.3%
6	79	6.5%
9	62	5.1%
7	60	5.0%
Other values (2)	47	3.9%

Hangul

Value	Count	Frequency (%)
종	1	100.0%

fax
Text

Distinct	55
Distinct (%)	55.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	13
Median length	12
Mean length	7.2
Min length	1

Characters and Unicode

Total characters	720
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	52 ?
Unique (%)	52.0%

Sample

1st row	031-538-3925
2nd row	054-673-2544
3rd row	031-538-3936
4th row	031-538-3943
5th row	031-538-3975

Value	Count	Frequency (%)
	44	44.0%
02-6442-6925	2	2.0%
070-4324-5396	2	2.0%
02-2216-9413	1	1.0%
031-8036-8929	1	1.0%
02-2248-1969	1	1.0%
031-538-3925	1	1.0%
032-571-7369	1	1.0%
02-6442-1081	1	1.0%
02-3291-4993	1	1.0%
Other values (45)	45	45.0%

Most occurring characters

Value	Count	Frequency (%)
-	156	21.7%
0	93	12.9%
3	83	11.5%
2	67	9.3%
5	63	8.8%
9	54	7.5%
4	48	6.7%
6	47	6.5%
1	40	5.6%
8	37	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	564	78.3%
Dash Punctuation	156	21.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	93	16.5%
3	83	14.7%
2	67	11.9%
5	63	11.2%
9	54	9.6%
4	48	8.5%
6	47	8.3%
1	40	7.1%
8	37	6.6%
7	32	5.7%

Dash Punctuation

Value	Count	Frequency (%)
-	156	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	720	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	156	21.7%
0	93	12.9%
3	83	11.5%
2	67	9.3%
5	63	8.8%
9	54	7.5%
4	48	6.7%
6	47	6.5%
1	40	5.6%
8	37	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	156	21.7%
0	93	12.9%
3	83	11.5%
2	67	9.3%
5	63	8.8%
9	54	7.5%
4	48	6.7%
6	47	6.5%
1	40	5.6%
8	37	5.1%

homepage
Categorical

Distinct	37
Distinct (%)	37.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

http://phlib.pohang.go.kr/	39
https://www.sblib.seoul.kr/	8
http://www.uwlib.or.kr/	7
http://www.bppl.or.kr/	6
http://www.issl.go.kr/	4
Other values (32)	36

Length

Max length	49
Median length	46.5
Mean length	28.16
Min length	1

Unique

Unique	30 ?
Unique (%)	30.0%

Sample

1st row	https://lib.pocheon.go.kr/center/
2nd row	http://www.gbelib.kr/bh
3rd row	https://lib.pocheon.go.kr/ildong
4th row	https://lib.pocheon.go.kr/yeongjung
5th row	https://lib.pocheon.go.kr/yeongbuk

Common Values

Value	Count	Frequency (%)
http://phlib.pohang.go.kr/	39	39.0%
https://www.sblib.seoul.kr/	8	8.0%
http://www.uwlib.or.kr/	7	7.0%
http://www.bppl.or.kr/	6	6.0%
http://www.issl.go.kr/	4	4.0%
http://www.l4d.or.kr/library/	3	3.0%
http://www.tongyeonglib.or.kr/	3	3.0%
http://www.gbelib.kr/ul	1	1.0%
http://www.osanlibrary.go.kr/hatsalmaru/main.do	1	1.0%
http://www.gbelib.kr/bh	1	1.0%
Other values (27)	27	27.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
http://phlib.pohang.go.kr	39	39.0%
https://www.sblib.seoul.kr	8	8.0%
http://www.uwlib.or.kr	7	7.0%
http://www.bppl.or.kr	6	6.0%
http://www.issl.go.kr	4	4.0%
http://www.l4d.or.kr/library	3	3.0%
http://www.tongyeonglib.or.kr	3	3.0%
https://www.l4d.or.kr/info/index.do	1	1.0%
https://www.l4d.or.kr/hgc/index.do	1	1.0%
https://www.l4d.or.kr/imc/index.do	1	1.0%
Other values (27)	27	27.0%

operatingtime
Categorical

Distinct	39
Distinct (%)	39.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

-	49
09:00~18:00	10
종합자료실 09:00~22:00(주말 17:00), 어린이실 09:00~18:00(주말 17:00), 열람실 07:00~22:00	3
평일(화~금) 09:00~23:00(아동·유아자료실은 21:00까지), 주말(토,일) 09:00~18:00	2
07:00~24:00	2
Other values (34)	34

Length

Max length	104
Median length	74
Mean length	17.88
Min length	1

Unique

Unique	34 ?
Unique (%)	34.0%

Sample

1st row	자료실(평일 09:00~21:00 / 주말 09:00~18:00), 학습실(평일,주말 09:00~23:00)
2nd row	월~토요일 08:00~22:00, 일요일 08:00~18:00
3rd row	평일 09:00~21:00, 주말 09:00~18:00
4th row	평일 09:00~18:00, 주말 09:00~18:00
5th row	자료실(평일 09:00~20:00 / 주말 09:00~18:00), 학습실(평일,주말 09:00~22:00)

Common Values

Value	Count	Frequency (%)
-	49	49.0%
09:00~18:00	10	10.0%
종합자료실 09:00~22:00(주말 17:00), 어린이실 09:00~18:00(주말 17:00), 열람실 07:00~22:00	3	3.0%
평일(화~금) 09:00~23:00(아동·유아자료실은 21:00까지), 주말(토,일) 09:00~18:00	2	2.0%
07:00~24:00	2	2.0%
09:00~22:00(주말 ~18:00)	1	1.0%
평일 09:00~21:00, 주말 09:00~18:00	1	1.0%
평일 09:00~18:00, 주말 09:00~18:00	1	1.0%
자료실(평일 09:00~20:00 / 주말 09:00~18:00), 학습실(평일,주말 09:00~22:00)	1	1.0%
평일 09:00~20:00, 주말 09:00~18:00	1	1.0%
Other values (29)	29	29.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	70	25.5%
09:00~18:00	31	11.3%
주말	11	4.0%
평일	10	3.6%
09:00~22:00	9	3.3%
종합자료실	7	2.6%
17:00	7	2.6%
열람실	6	2.2%
평일(화~금	5	1.8%
09:00~21:00	5	1.8%
Other values (73)	113	41.2%

closedon
Categorical

Distinct	43
Distinct (%)	43.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

매주 월요일, 일요일 / 법정공휴일	30
매주 월요일 / 법정공휴일	10
매주 토요일, 일요일 / 법정공휴일	6
매월 셋째주 월요일 / 신정, 설 연휴, 추석 연휴, 설 추석 연휴와 이어지는 토요일, 일요일, 특별한 사유로 필요하다고 인정하는 날	3
매주 월요일 / 법정공휴일, 특별한 사유로 구청장의 승인을 득한 경우	3
Other values (38)	48

Length

Max length	80
Median length	74
Mean length	29.91
Min length	1

Unique

Unique	30 ?
Unique (%)	30.0%

Sample

1st row	매월 마지막 월요일 / 법정공휴일, 근로자의 날
2nd row	매월 마지막주 월요일 / 법정공휴일
3rd row	매월 마지막주 월요일 / 근로자의 날, 법정공휴일
4th row	매주 일요일, 월요일 / 근로자의날, 법정공휴일
5th row	매주 월요일 / 근로자의날, 법정공휴일

Common Values

Value	Count	Frequency (%)
매주 월요일, 일요일 / 법정공휴일	30	30.0%
매주 월요일 / 법정공휴일	10	10.0%
매주 토요일, 일요일 / 법정공휴일	6	6.0%
매월 셋째주 월요일 / 신정, 설 연휴, 추석 연휴, 설 추석 연휴와 이어지는 토요일, 일요일, 특별한 사유로 필요하다고 인정하는 날	3	3.0%
매주 월요일 / 법정공휴일, 특별한 사유로 구청장의 승인을 득한 경우	3	3.0%
매주 금요일 / 법정공휴일, 도서관 사정에 의한 임시 휴관일	3	3.0%
법정공휴일, 도서관 사정에 의한 임시 휴관일	3	3.0%
매주 일요일 / 법정공휴일	2	2.0%
매월 첫째주, 셋째주 월요일 / 관공서 공휴일, 도서관 사정으로 관장이 지정한 날	2	2.0%
매월 첫째주, 셋째주 월요일 / 토요일, 일요일을 제외한 법정공휴일	2	2.0%
Other values (33)	36	36.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	98	12.6%
법정공휴일	82	10.6%
월요일	79	10.2%
매주	75	9.7%
일요일	49	6.3%
매월	22	2.8%
날	18	2.3%
토요일	16	2.1%
제외한	15	1.9%
도서관	15	1.9%
Other values (81)	307	39.6%

lib_type
Categorical

Distinct	2
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

1	53
2	47

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	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	53	53.0%
2	47	47.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	53	53.0%
2	47	47.0%

lib_type_nm
Categorical

Distinct	2
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

공공	53
작은	47

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
공공	53	53.0%
작은	47	47.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
공공	53	53.0%
작은	47	47.0%

establish
Categorical

Distinct	4
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

지자체	50
공립	41
-	6
교육청	3

Length

Max length	3
Median length	3
Mean length	2.47
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
지자체	50	50.0%
공립	41	41.0%
-	6	6.0%
교육청	3	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
지자체	50	50.0%
공립	41	41.0%
	6	6.0%
교육청	3	3.0%

open_year
Categorical

Distinct	24
Distinct (%)	24.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

2012	14
2009	13
2010	10
2011	9
2014	8
Other values (19)	46

Length

Max length	4
Median length	4
Mean length	3.82
Min length	1

Unique

Unique	11 ?
Unique (%)	11.0%

Sample

1st row	2012
2nd row	<NA>
3rd row	<NA>
4th row	<NA>
5th row	<NA>

Common Values

Value	Count	Frequency (%)
2012	14	14.0%
2009	13	13.0%
2010	10	10.0%
2011	9	9.0%
2014	8	8.0%
<NA>	7	7.0%
2013	6	6.0%
-	6	6.0%
2006	4	4.0%
2007	4	4.0%
Other values (14)	19	19.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2012	14	14.0%
2009	13	13.0%
2010	10	10.0%
2011	9	9.0%
2014	8	8.0%
na	7	7.0%
2013	6	6.0%
	6	6.0%
2006	4	4.0%
2007	4	4.0%
Other values (14)	19	19.0%

zipcode
Real number (ℝ)

Distinct	98
Distinct (%)	98.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26856.21

Minimum	2421
Maximum	61640
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	2421
5-th percentile	2579.25
Q1	16023.5
median	36282
Q3	37752
95-th percentile	53038.25
Maximum	61640
Range	59219
Interquartile range (IQR)	21728.5

Descriptive statistics

Standard deviation	16037.568
Coefficient of variation (CV)	0.59716423
Kurtosis	-0.82475511
Mean	26856.21
Median Absolute Deviation (MAD)	14871
Skewness	-0.0052569393
Sum	2685621
Variance	2.5720358 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37566	2	2.0%
37591	2	2.0%
11140	1	1.0%
2713	1	1.0%
16055	1	1.0%
16051	1	1.0%
16027	1	1.0%
16075	1	1.0%
2797	1	1.0%
2717	1	1.0%
Other values (88)	88	88.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2421	1	1.0%
2448	1	1.0%
2456	1	1.0%
2497	1	1.0%
2508	1	1.0%
2583	1	1.0%
2596	1	1.0%
2637	1	1.0%
2713	1	1.0%
2717	1	1.0%

Value	Count	Frequency (%)
61640	1	1.0%
61418	1	1.0%
61191	1	1.0%
58579	1	1.0%
53100	1	1.0%
53035	1	1.0%
53017	1	1.0%
50601	1	1.0%
40218	1	1.0%
37932	1	1.0%

lib_utmk_x
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1052793.1

Minimum	905007.77
Maximum	1300702.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	905007.77
5-th percentile	930405.67
Q1	957096.55
median	978918.16
Q3	1167911.6
95-th percentile	1172221
Maximum	1300702.6
Range	395694.86
Interquartile range (IQR)	210815.02

Descriptive statistics

Standard deviation	107657.28
Coefficient of variation (CV)	0.10225872
Kurtosis	-1.7303959
Mean	1052793.1
Median Absolute Deviation (MAD)	52465.677
Skewness	0.19811393
Sum	1.0527931 × 10⁸
Variance	1.1590089 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
974187.454649355	1	1.0%
957097.379335884	1	1.0%
953208.109104246	1	1.0%
953108.417841217	1	1.0%
954149.961286922	1	1.0%
953005.801063047	1	1.0%
958961.492194179	1	1.0%
956819.450156988	1	1.0%
958630.658532508	1	1.0%
956800.922258795	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
905007.773281443	1	1.0%
926409.778755322	1	1.0%
926495.1815682448	1	1.0%
926959.2434624574	1	1.0%
927377.1907956736	1	1.0%
930565.063094701	1	1.0%
931727.552830076	1	1.0%
932545.993854281	1	1.0%
932769.7536025502	1	1.0%
932841.404670269	1	1.0%

Value	Count	Frequency (%)
1300702.63619122	1	1.0%
1185022.91718464	1	1.0%
1174645.87484662	1	1.0%
1172803.1563789	1	1.0%
1172369.63692616	1	1.0%
1172213.13706615	1	1.0%
1171662.57384384	1	1.0%
1171581.10163125	1	1.0%
1171474.35675856	1	1.0%
1171378.71674448	1	1.0%

lib_utmk_y
Real number (ℝ)

UNIQUE

Distinct	100
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1858119.8

Minimum	1627214.8
Maximum	2009752.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1627214.8
5-th percentile	1684417.8
Q1	1782489.1
median	1896867.7
Q3	1950551.1
95-th percentile	1958510.5
Maximum	2009752.7
Range	382537.87
Interquartile range (IQR)	168061.96

Descriptive statistics

Standard deviation	97121.066
Coefficient of variation (CV)	0.052268462
Kurtosis	-0.99919727
Mean	1858119.8
Median Absolute Deviation (MAD)	93743.086
Skewness	-0.36729748
Sum	1.8581198 × 10⁸
Variance	9.4325014 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1989533.85017912	1	1.0%
1955720.47263245	1	1.0%
1928404.65295516	1	1.0%
1928868.80474835	1	1.0%
1932188.87625059	1	1.0%
1927155.13160805	1	1.0%
1955614.67545601	1	1.0%
1957034.50537731	1	1.0%
1956221.0768234	1	1.0%
1956257.00662184	1	1.0%
Other values (90)	90	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1627214.83453997	1	1.0%
1646094.08800255	1	1.0%
1652294.52865037	1	1.0%
1653563.97233797	1	1.0%
1682857.65037268	1	1.0%
1684499.92092921	1	1.0%
1686955.82248972	1	1.0%
1704326.02813558	1	1.0%
1775706.32301527	1	1.0%
1775814.22356037	1	1.0%

Value	Count	Frequency (%)
2009752.7074907	1	1.0%
2000655.09988156	1	1.0%
1995016.17064645	1	1.0%
1989533.85017912	1	1.0%
1983226.54910362	1	1.0%
1957209.63938009	1	1.0%
1957034.50537731	1	1.0%
1957003.47772069	1	1.0%
1956257.00662184	1	1.0%
1956253.61258943	1	1.0%

first_loan_year
Real number (ℝ)

MISSING

Distinct	22
Distinct (%)	23.7%
Missing	7
Missing (%)	7.0%
Infinite	0
Infinite (%)	0.0%
Mean	2008.5376

Minimum	1968
Maximum	2015
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1968
5-th percentile	1992.6
Q1	2008
median	2010
Q3	2012
95-th percentile	2014
Maximum	2015
Range	47
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	7.3905921
Coefficient of variation (CV)	0.0036795885
Kurtosis	11.76212
Mean	2008.5376
Median Absolute Deviation (MAD)	2
Skewness	-3.1002127
Sum	186794
Variance	54.620851
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
2012	16	16.0%
2009	13	13.0%
2014	11	11.0%
2010	10	10.0%
2011	10	10.0%
2013	6	6.0%
2006	4	4.0%
2007	4	4.0%
2015	3	3.0%
2008	3	3.0%
Other values (12)	13	13.0%
(Missing)	7	7.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1968	1	1.0%
1981	1	1.0%
1987	1	1.0%
1989	1	1.0%
1992	1	1.0%
1993	1	1.0%
1997	1	1.0%
1999	1	1.0%
2001	1	1.0%
2002	1	1.0%

Value	Count	Frequency (%)
2015	3	3.0%
2014	11	11.0%
2013	6	6.0%
2012	16	16.0%
2011	10	10.0%
2010	10	10.0%
2009	13	13.0%
2008	3	3.0%
2007	4	4.0%
2006	4	4.0%

part_year
Categorical

IMBALANCE

Distinct	5
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

2015	81
2014	10
2021	5
2020	2
2016	2

Length

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2015
2nd row	2021
3rd row	2020
4th row	2021
5th row	2020

Common Values

Value	Count	Frequency (%)
2015	81	81.0%
2014	10	10.0%
2021	5	5.0%
2020	2	2.0%
2016	2	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2015	81	81.0%
2014	10	10.0%
2021	5	5.0%
2020	2	2.0%
2016	2	2.0%

master_lib_code
Real number (ℝ)

Distinct	14
Distinct (%)	14.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2130

Minimum	100
Maximum	29500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	100
5-th percentile	100
Q1	700
median	1500
Q3	1800
95-th percentile	2200
Maximum	29500
Range	29400
Interquartile range (IQR)	1100

Descriptive statistics

Standard deviation	4881.0808
Coefficient of variation (CV)	2.2915872
Kurtosis	28.743637
Mean	2130
Median Absolute Deviation (MAD)	300
Skewness	5.4356147
Sum	213000
Variance	23824949
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
1800	40	40.0%
1200	10	10.0%
100	9	9.0%
300	7	7.0%
400	7	7.0%
1400	6	6.0%
1500	5	5.0%
1300	4	4.0%
29500	3	3.0%
2200	3	3.0%
Other values (4)	6	6.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
100	9	9.0%
300	7	7.0%
400	7	7.0%
600	1	1.0%
700	3	3.0%
1200	10	10.0%
1300	4	4.0%
1400	6	6.0%
1500	5	5.0%
1700	1	1.0%

Value	Count	Frequency (%)
29500	3	3.0%
2600	1	1.0%
2200	3	3.0%
1800	40	40.0%
1700	1	1.0%
1500	5	5.0%
1400	6	6.0%
1300	4	4.0%
1200	10	10.0%
700	3	3.0%

lib_alias
Text

MISSING

Distinct	93
Distinct (%)	95.9%
Missing	3
Missing (%)	3.0%
Memory size	932.0 B

Length

Max length	10
Median length	8
Mean length	3.7835052
Min length	2

Characters and Unicode

Total characters	367
Distinct characters	137
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	92 ?
Unique (%)	94.8%

Sample

1st row	중앙
2nd row	일동
3rd row	영중
4th row	영북
5th row	가산

Value	Count	Frequency (%)
중앙	5	5.2%
청학	1	1.0%
청천	1	1.0%
갈산	1	1.0%
글로벌	1	1.0%
내손	1	1.0%
종암	1	1.0%
청수	1	1.0%
달빛	1	1.0%
정릉	1	1.0%
Other values (83)	83	85.6%

Most occurring characters

Value	Count	Frequency (%)
작	44	12.0%
은	37	10.1%
이	11	3.0%
(	9	2.5%
)	9	2.5%
린	9	2.5%
어	9	2.5%
중	6	1.6%
산	6	1.6%
내	5	1.4%
Other values (127)	222	60.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	349	95.1%
Open Punctuation	9	2.5%
Close Punctuation	9	2.5%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
작	44	12.6%
은	37	10.6%
이	11	3.2%
린	9	2.6%
어	9	2.6%
중	6	1.7%
산	6	1.7%
내	5	1.4%
마	5	1.4%
해	5	1.4%
Other values (125)	212	60.7%

Open Punctuation

Value	Count	Frequency (%)
(	9	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	349	95.1%
Common	18	4.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
작	44	12.6%
은	37	10.6%
이	11	3.2%
린	9	2.6%
어	9	2.6%
중	6	1.7%
산	6	1.7%
내	5	1.4%
마	5	1.4%
해	5	1.4%
Other values (125)	212	60.7%

Common

Value	Count	Frequency (%)
(	9	50.0%
)	9	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	349	95.1%
ASCII	18	4.9%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
작	44	12.6%
은	37	10.6%
이	11	3.2%
린	9	2.6%
어	9	2.6%
중	6	1.7%
산	6	1.7%
내	5	1.4%
마	5	1.4%
해	5	1.4%
Other values (125)	212	60.7%

ASCII

Value	Count	Frequency (%)
(	9	50.0%
)	9	50.0%

code
Text

Distinct	53
Distinct (%)	53.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

Length

Max length	8
Median length	2
Mean length	2.18
Min length	2

Characters and Unicode

Total characters	218
Distinct characters	29
Distinct categories	2 ?
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	44 ?
Unique (%)	44.0%

Sample

1st row	MA
2nd row	00147007
3rd row	MC
4th row	MD
5th row	ME

Value	Count	Frequency (%)
ma	12	12.0%
md	8	8.0%
mf	8	8.0%
mc	7	7.0%
me	7	7.0%
mb	6	6.0%
mg	4	4.0%
mj	2	2.0%
mi	2	2.0%
ph	1	1.0%
Other values (43)	43	43.0%

Most occurring characters

Value	Count	Frequency (%)
M	59	27.1%
N	22	10.1%
P	15	6.9%
A	15	6.9%
D	10	4.6%
0	10	4.6%
F	9	4.1%
C	9	4.1%
E	9	4.1%
B	9	4.1%
Other values (19)	51	23.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	194	89.0%
Decimal Number	24	11.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	59	30.4%
N	22	11.3%
P	15	7.7%
A	15	7.7%
D	10	5.2%
F	9	4.6%
C	9	4.6%
E	9	4.6%
B	9	4.6%
G	6	3.1%
Other values (14)	31	16.0%

Decimal Number

Value	Count	Frequency (%)
0	10	41.7%
1	5	20.8%
7	5	20.8%
4	3	12.5%
8	1	4.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	194	89.0%
Common	24	11.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	59	30.4%
N	22	11.3%
P	15	7.7%
A	15	7.7%
D	10	5.2%
F	9	4.6%
C	9	4.6%
E	9	4.6%
B	9	4.6%
G	6	3.1%
Other values (14)	31	16.0%

Common

Value	Count	Frequency (%)
0	10	41.7%
1	5	20.8%
7	5	20.8%
4	3	12.5%
8	1	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	218	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	59	27.1%
N	22	10.1%
P	15	6.9%
A	15	6.9%
D	10	4.6%
0	10	4.6%
F	9	4.1%
C	9	4.1%
E	9	4.1%
B	9	4.1%
Other values (19)	51	23.4%

locate_code
Real number (ℝ)

Distinct	8
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.23

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	7
Q3	11
95-th percentile	11
Maximum	12
Range	11
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	4.2088291
Coefficient of variation (CV)	0.58213404
Kurtosis	-1.4771858
Mean	7.23
Median Absolute Deviation (MAD)	4
Skewness	-0.46537672
Sum	723
Variance	17.714242
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
11	43	43.0%
7	19	19.0%
1	19	19.0%
2	10	10.0%
12	4	4.0%
4	3	3.0%
8	1	1.0%
10	1	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	19	19.0%
2	10	10.0%
4	3	3.0%
7	19	19.0%
8	1	1.0%
10	1	1.0%
11	43	43.0%
12	4	4.0%

Value	Count	Frequency (%)
12	4	4.0%
11	43	43.0%
10	1	1.0%
8	1	1.0%
7	19	19.0%
4	3	3.0%
2	10	10.0%
1	19	19.0%

addr_old
Text

MISSING

Distinct	96
Distinct (%)	99.0%
Missing	3
Missing (%)	3.0%
Memory size	932.0 B

Length

Max length	37
Median length	28
Mean length	20.742268
Min length	14

Characters and Unicode

Total characters	2012
Distinct characters	138
Distinct categories	4 ?
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	95 ?
Unique (%)	97.9%

Sample

1st row	경기도 포천시 신북면 가채리 770
2nd row	경기도 포천시 일동면 기산리 284-3
3rd row	경기도 포천시 영중면 양문리 833-2
4th row	경기도 포천시 영북면 운천리 540-2
5th row	경기도 포천시 가산면 마산리 601-1

Value	Count	Frequency (%)
경상북도	40	8.7%
포항시	40	8.7%
남구	21	4.6%
북구	21	4.6%
경기도	19	4.1%
서울특별시	19	4.1%
인천광역시	10	2.2%
동대문구	10	2.2%
성북구	9	2.0%
의왕시	7	1.5%
Other values (215)	265	57.5%

Most occurring characters

Value	Count	Frequency (%)
	364	18.1%
시	96	4.8%
동	91	4.5%
1	82	4.1%
구	76	3.8%
도	73	3.6%
북	72	3.6%
경	64	3.2%
-	62	3.1%
2	53	2.6%
Other values (128)	979	48.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1194	59.3%
Decimal Number	392	19.5%
Space Separator	364	18.1%
Dash Punctuation	62	3.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	96	8.0%
동	91	7.6%
구	76	6.4%
도	73	6.1%
북	72	6.0%
경	64	5.4%
포	49	4.1%
상	47	3.9%
항	42	3.5%
남	30	2.5%
Other values (116)	554	46.4%

Decimal Number

Value	Count	Frequency (%)
1	82	20.9%
2	53	13.5%
4	44	11.2%
6	40	10.2%
0	35	8.9%
3	33	8.4%
7	27	6.9%
9	26	6.6%
5	26	6.6%
8	26	6.6%

Space Separator

Value	Count	Frequency (%)
	364	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	62	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1194	59.3%
Common	818	40.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	96	8.0%
동	91	7.6%
구	76	6.4%
도	73	6.1%
북	72	6.0%
경	64	5.4%
포	49	4.1%
상	47	3.9%
항	42	3.5%
남	30	2.5%
Other values (116)	554	46.4%

Common

Value	Count	Frequency (%)
	364	44.5%
1	82	10.0%
-	62	7.6%
2	53	6.5%
4	44	5.4%
6	40	4.9%
0	35	4.3%
3	33	4.0%
7	27	3.3%
9	26	3.2%
Other values (2)	52	6.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1194	59.3%
ASCII	818	40.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	364	44.5%
1	82	10.0%
-	62	7.6%
2	53	6.5%
4	44	5.4%
6	40	4.9%
0	35	4.3%
3	33	4.0%
7	27	3.3%
9	26	3.2%
Other values (2)	52	6.4%

Hangul

Value	Count	Frequency (%)
시	96	8.0%
동	91	7.6%
구	76	6.4%
도	73	6.1%
북	72	6.0%
경	64	5.4%
포	49	4.1%
상	47	3.9%
항	42	3.5%
남	30	2.5%
Other values (116)	554	46.4%

lib_name_nl
Text

MISSING

Distinct	97
Distinct (%)	100.0%
Missing	3
Missing (%)	3.0%
Memory size	932.0 B

Length

Max length	19
Median length	13
Mean length	9.8762887
Min length	5

Characters and Unicode

Total characters	958
Distinct characters	167
Distinct categories	4 ?
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	97 ?
Unique (%)	100.0%

Sample

1st row	포천시립중앙도서관
2nd row	포천시립일동도서관
3rd row	포천시립영중어린이도서관
4th row	포천시립영북도서관
5th row	포천시립가산도서관

Value	Count	Frequency (%)
작은도서관	17	10.7%
오산시	6	3.8%
동대문구	4	2.5%
도서관	4	2.5%
어린이도서관	3	1.9%
장량동	2	1.3%
장량	2	1.3%
흥해	2	1.3%
의왕시내손도서관	1	0.6%
의왕시중앙도서관	1	0.6%
Other values (117)	117	73.6%

Most occurring characters

Value	Count	Frequency (%)
도	101	10.5%
서	98	10.2%
관	98	10.2%
	62	6.5%
은	40	4.2%
작	39	4.1%
시	27	2.8%
립	21	2.2%
동	16	1.7%
이	16	1.7%
Other values (157)	440	45.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	894	93.3%
Space Separator	62	6.5%
Close Punctuation	1	0.1%
Open Punctuation	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
도	101	11.3%
서	98	11.0%
관	98	11.0%
은	40	4.5%
작	39	4.4%
시	27	3.0%
립	21	2.3%
동	16	1.8%
이	16	1.8%
어	15	1.7%
Other values (154)	423	47.3%

Space Separator

Value	Count	Frequency (%)
	62	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	894	93.3%
Common	64	6.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
도	101	11.3%
서	98	11.0%
관	98	11.0%
은	40	4.5%
작	39	4.4%
시	27	3.0%
립	21	2.3%
동	16	1.8%
이	16	1.8%
어	15	1.7%
Other values (154)	423	47.3%

Common

Value	Count	Frequency (%)
	62	96.9%
)	1	1.6%
(	1	1.6%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	894	93.3%
ASCII	64	6.7%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
도	101	11.3%
서	98	11.0%
관	98	11.0%
은	40	4.5%
작	39	4.4%
시	27	3.0%
립	21	2.3%
동	16	1.8%
이	16	1.8%
어	15	1.7%
Other values (154)	423	47.3%

ASCII

Value	Count	Frequency (%)
	62	96.9%
)	1	1.6%
(	1	1.6%

lib_name_origin
Text

MISSING

Distinct	97
Distinct (%)	100.0%
Missing	3
Missing (%)	3.0%
Memory size	932.0 B

Length

Max length	13
Median length	11
Mean length	8.7525773
Min length	5

Characters and Unicode

Total characters	849
Distinct characters	168
Distinct categories	4 ?
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	97 ?
Unique (%)	100.0%

Sample

1st row	포천시립중앙도서관
2nd row	일동도서관
3rd row	영중꿈나무도서관
4th row	영북도서관
5th row	가산도서관

Value	Count	Frequency (%)
의왕시	7	6.2%
인천	4	3.6%
광주	3	2.7%
상대동큰섬마을작은도서관	1	0.9%
서경로꿈마루도서관	1	0.9%
글로벌	1	0.9%
내손글마루	1	0.9%
중앙책마루	1	0.9%
종암동새날어린이도서관	1	0.9%
청수도서관	1	0.9%
Other values (91)	91	81.2%

Most occurring characters

Value	Count	Frequency (%)
관	91	10.7%
도	91	10.7%
서	87	10.2%
은	40	4.7%
작	39	4.6%
시	20	2.4%
동	17	2.0%
천	15	1.8%
	15	1.8%
산	13	1.5%
Other values (158)	421	49.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	832	98.0%
Space Separator	15	1.8%
Close Punctuation	1	0.1%
Open Punctuation	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
관	91	10.9%
도	91	10.9%
서	87	10.5%
은	40	4.8%
작	39	4.7%
시	20	2.4%
동	17	2.0%
천	15	1.8%
산	13	1.6%
어	13	1.6%
Other values (155)	406	48.8%

Space Separator

Value	Count	Frequency (%)
	15	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	832	98.0%
Common	17	2.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
관	91	10.9%
도	91	10.9%
서	87	10.5%
은	40	4.8%
작	39	4.7%
시	20	2.4%
동	17	2.0%
천	15	1.8%
산	13	1.6%
어	13	1.6%
Other values (155)	406	48.8%

Common

Value	Count	Frequency (%)
	15	88.2%
)	1	5.9%
(	1	5.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	832	98.0%
ASCII	17	2.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
관	91	10.9%
도	91	10.9%
서	87	10.5%
은	40	4.8%
작	39	4.7%
시	20	2.4%
동	17	2.0%
천	15	1.8%
산	13	1.6%
어	13	1.6%
Other values (155)	406	48.8%

ASCII

Value	Count	Frequency (%)
	15	88.2%
)	1	5.9%
(	1	5.9%

main_lib
Boolean

IMBALANCE

Distinct	2
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	232.0 B

False	89
True	11

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	89	89.0%
True	11	11.0%

areacode1
Categorical

Distinct	8
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

경상북도	43
경기도	19
서울특별시	19
인천광역시	10
경상남도	4
Other values (3)	5

Length

Max length	5
Median length	4
Mean length	4.12
Min length	3

Unique

Unique	2 ?
Unique (%)	2.0%

Sample

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

Common Values

Value	Count	Frequency (%)
경상북도	43	43.0%
경기도	19	19.0%
서울특별시	19	19.0%
인천광역시	10	10.0%
경상남도	4	4.0%
광주광역시	3	3.0%
강원도	1	1.0%
전라남도	1	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
경상북도	43	43.0%
경기도	19	19.0%
서울특별시	19	19.0%
인천광역시	10	10.0%
경상남도	4	4.0%
광주광역시	3	3.0%
강원도	1	1.0%
전라남도	1	1.0%

areacode2
Categorical

Distinct	19
Distinct (%)	19.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

포항시 북구	21
포항시 남구	19
동대문구	10
성북구	9
오산시	7
Other values (14)	34

Length

Max length	6
Median length	4
Mean length	4.23
Min length	2

Unique

Unique	9 ?
Unique (%)	9.0%

Sample

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

Common Values

Value	Count	Frequency (%)
포항시 북구	21	21.0%
포항시 남구	19	19.0%
동대문구	10	10.0%
성북구	9	9.0%
오산시	7	7.0%
의왕시	7	7.0%
부평구	6	6.0%
포천시	5	5.0%
서구	4	4.0%
통영시	3	3.0%
Other values (9)	9	9.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
포항시	40	28.6%
북구	22	15.7%
남구	20	14.3%
동대문구	10	7.1%
성북구	9	6.4%
오산시	7	5.0%
의왕시	7	5.0%
부평구	6	4.3%
포천시	5	3.6%
서구	4	2.9%
Other values (8)	10	7.1%

wd_area_code
Categorical

Distinct	13
Distinct (%)	13.0%
Missing	0
Missing (%)	0.0%
Memory size	932.0 B

포항	40
서울	19
수원	14
인천	10
동두천	5
Other values (8)	12

Length

Max length	3
Median length	2
Mean length	2.06
Min length	2

Unique

Unique	6 ?
Unique (%)	6.0%

Sample

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

Common Values

Value	Count	Frequency (%)
포항	40	40.0%
서울	19	19.0%
수원	14	14.0%
인천	10	10.0%
동두천	5	5.0%
통영	3	3.0%
광주	3	3.0%
봉화	1	1.0%
후포	1	1.0%
원주	1	1.0%
Other values (3)	3	3.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
포항	40	40.0%
서울	19	19.0%
수원	14	14.0%
인천	10	10.0%
동두천	5	5.0%
통영	3	3.0%
광주	3	3.0%
봉화	1	1.0%
후포	1	1.0%
원주	1	1.0%
Other values (3)	3	3.0%

First rows
Last rows

	lib_code	lib_name	addr	lib_latitude	lib_longitude	address1	address2	lib_sign	api_lib_sign	tel	fax	homepage	operatingtime	closedon	lib_type	lib_type_nm	establish	open_year	zipcode	lib_utmk_x	lib_utmk_y	first_loan_year	part_year	master_lib_code	lib_alias	code	locate_code	addr_old	lib_name_nl	lib_name_origin	main_lib	areacode1	areacode2	wd_area_code
0	1500	포천시립중앙도서관	경기도 포천시 신북면 중앙로207번길 26	37.905303	127.206376	경기도	포천시	141333	141333	031-538-3911	031-538-3925	https://lib.pocheon.go.kr/center/	자료실(평일 09:00~21:00 / 주말 09:00~18:00), 학습실(평일,주말 09:00~23:00)	매월 마지막 월요일 / 법정공휴일, 근로자의 날	1	공공	지자체	2012	11140	974187.454649	1989533.850179	2012	2015	1500	중앙	MA	7	경기도 포천시 신북면 가채리 770	포천시립중앙도서관	포천시립중앙도서관	Y	경기도	포천시	동두천
1	29526	경상북도교육청 봉화도서관	경상북도 봉화군 봉화읍 내성로3길 6	36.888393	128.740127	경상북도	봉화군	147007	147007	054-673-0973	054-673-2544	http://www.gbelib.kr/bh	월~토요일 08:00~22:00, 일요일 08:00~18:00	매월 마지막주 월요일 / 법정공휴일	1	공공	교육청	<NA>	36238	1110505.091987	1877394.491805	<NA>	2021	29500	<NA>	00147007	11	<NA>	<NA>	<NA>	N	경상북도	봉화군	봉화
2	1502	포천시립일동도서관	경기도 포천시 일동면 화동로 1021	37.954936	127.315456	경기도	포천시	141094	141094	031-538-3932	031-538-3936	https://lib.pocheon.go.kr/ildong	평일 09:00~21:00, 주말 09:00~18:00	매월 마지막주 월요일 / 근로자의 날, 법정공휴일	1	공공	지자체	<NA>	11120	983787.578144	1995016.170646	<NA>	2020	1500	일동	MC	7	경기도 포천시 일동면 기산리 284-3	포천시립일동도서관	일동도서관	N	경기도	포천시	동두천
3	1503	포천시립영중꿈나무도서관	경기도 포천시 영중면 양문로 151	38.005629	127.245302	경기도	포천시	141102	141102	031-538-3945	031-538-3943	https://lib.pocheon.go.kr/yeongjung	평일 09:00~18:00, 주말 09:00~18:00	매주 일요일, 월요일 / 근로자의날, 법정공휴일	1	공공	지자체	<NA>	11129	977639.922502	2000655.099882	<NA>	2021	1500	영중	MD	7	경기도 포천시 영중면 양문리 833-2	포천시립영중어린이도서관	영중꿈나무도서관	N	경기도	포천시	동두천
4	1504	포천시립영북도서관	경기도 포천시 영북면 운천안길 3	38.087682	127.27417	경기도	포천시	141520	141520	031-538-3972	031-538-3975	https://lib.pocheon.go.kr/yeongbuk	자료실(평일 09:00~20:00 / 주말 09:00~18:00), 학습실(평일,주말 09:00~22:00)	매주 월요일 / 근로자의날, 법정공휴일	1	공공	지자체	<NA>	11106	980196.391628	2009752.707491	<NA>	2020	1500	영북	ME	7	경기도 포천시 영북면 운천리 540-2	포천시립영북도서관	영북도서관	N	경기도	포천시	동두천
5	1505	포천시립가산도서관	경기도 포천시 가산면 선마로 223	37.848403	127.186356	경기도	포천시	141553	141553	031-538-3987	031-538-3985	https://lib.pocheon.go.kr/gasan	평일 09:00~20:00, 주말 09:00~18:00	매주 월요일 / 근로자의날, 법정공휴일	1	공공	지자체	<NA>	11164	972406.270334	1983226.549104	<NA>	2021	1500	가산	MF	7	경기도 포천시 가산면 마산리 601-1	포천시립가산도서관	가산도서관	N	경기도	포천시	동두천
6	2200	통영시립도서관	경상남도 통영시 무전3길 29	34.86182	128.424713	경상남도	통영시	148100	148100	055-650-2630	055-650-2639	http://www.tongyeonglib.or.kr/	평일(화~금) 09:00~23:00(아동·유아자료실은 21:00까지), 주말(토,일) 09:00~18:00	매주 월요일 / 법정공휴일	1	공공	지자체	2010	53035	1084524.48	1652294.52865	2010	2015	2200	통영시립	MC	12	경상남도 통영시 무전동 1054-4	통영시립도서관	통영시립도서관	Y	경상남도	통영시	통영
7	29527	경상북도교육청 울진도서관	경상북도 울진군 울진읍 월변7길 17	36.986387	129.399462	경상북도	울진군	147018	147018	054-783-2375	054-782-2679	http://www.gbelib.kr/uj	자료실 : 평일 09:00~18:00, 주말 09:00~17:00 / 열람실 09:00~22:00	매주 월요일 / 법정공휴일	1	공공	교육청	<NA>	36326	1169045.448639	1889233.371478	<NA>	2021	29500	<NA>	00147018	11	<NA>	<NA>	<NA>	N	경상북도	울진군	후포
8	2202	통영시립욕지도서관	경상남도 통영시 욕지면 중촌길 203	34.636783	128.263369	경상남도	통영시	148044	148044	055-650-4580	055-650-4581	http://www.tongyeonglib.or.kr/	09:00~18:00	매주 월요일 / 법정공휴일	1	공공	지자체	2001	53100	1069965.830433	1627214.83454	2001	2015	2200	욕지	MB	12	경상남도 통영시 욕지면 동항리 787-1	통영시립욕지도서관	통영시립욕지도서관	N	경상남도	통영시	통영
9	2203	통영시립충무도서관	경상남도 통영시 용남면 기호바깥길 7-87	34.873299	128.420478	경상남도	통영시	148238	148238	055-650-2640	055-650-2649	http://www.tongyeonglib.or.kr/	평일(화~금) 09:00~23:00(아동·유아자료실은 21:00까지), 주말(토,일) 09:00~18:00	매주 금요일 / 법정공휴일	1	공공	지자체	2013	53017	1084125.670511	1653563.972338	2013	2015	2200	충무	MD	12	경상남도 통영시 용남면 장문리 910	통영시립충무도서관	통영시립충무도서관	N	경상남도	통영시	통영

	lib_code	lib_name	addr	lib_latitude	lib_longitude	address1	address2	lib_sign	api_lib_sign	tel	fax	homepage	operatingtime	closedon	lib_type	lib_type_nm	establish	open_year	zipcode	lib_utmk_x	lib_utmk_y	first_loan_year	part_year	master_lib_code	lib_alias	code	locate_code	addr_old	lib_name_nl	lib_name_origin	main_lib	areacode1	areacode2	wd_area_code
90	1201	장안어린이도서관	서울특별시 동대문구 장한로26다길 10	37.571256	127.073198	서울특별시	동대문구	111303	111303	02-2249-1959	-	https://www.l4d.or.kr/jac/index.do	-	매주 금요일 / 법정공휴일, 도서관 사정에 의한 임시 휴관일	2	작은	-	-	2637	962310.727117	1952517.297408	2012	2014	1200	장안어린이	MB	1	서울특별시 동대문구 장안동 342-23	장안어린이도서관	장안어린이도서관	N	서울특별시	동대문구	서울
91	1202	용두어린이영어도서관	서울특별시 동대문구 무학로 133	37.576106	127.030293	서울특별시	동대문구	111304	111304	02-921-1959	-	https://www.l4d.or.kr/yelc/index.do	-	매주 금요일 / 법정공휴일, 도서관 사정에 의한 임시 휴관일	2	작은	-	-	2583	958524.617682	1953073.48827	2012	2014	1200	용두어린이(작)	MC	1	서울특별시 동대문구 용두동 234-40	용두어린이영어도서관	용두어린이영어도서관	N	서울특별시	동대문구	서울
92	1203	이문체육문화센터 어린이도서관	서울특별시 동대문구 한천로58길 81-49	37.602264	127.068711	서울특별시	동대문구	111053	111053	02-963-0534	-	https://www.l4d.or.kr/imscc/index.do	-	매주 일요일 / 법정공휴일	2	작은	공립	2005	2421	961930.290754	1955959.269742	2005	2014	1200	이문체육문화	MD	1	서울특별시 동대문구 이문동 189	이문체육문화센터	이문체육문화센터	N	서울특별시	동대문구	서울
93	1204	이문어린이도서관	서울특별시 동대문구 천장산로9길 68	37.598899	127.053846	서울특별시	동대문구	711002	711002	02-968-7530	02-968-7531	https://www.l4d.or.kr/imc/index.do	-	매주 월요일 / 법정공휴일	2	작은	공립	2013	2448	960616.382563	1955592.069135	2013	2014	1200	이문어린이	ME	1	서울특별시 동대문구 이문동 264-181	구립 이문 어린이도서관	숲속작은도서관	N	서울특별시	동대문구	서울
94	1205	동대문구답십리도서관	서울특별시 동대문구 서울시립대로4길 75	37.573203	127.050405	서울특별시	동대문구	111445	111445	02-982-1959	02-2216-9413	https://www.l4d.or.kr/dsn/index.do	09:00~21:00(평일), 09:00~18:00(주말)	매주 금요일 / 법정공휴일, 도서관 사정에 의한 임시 휴관일	1	공공	지자체	2014	2596	960298.986502	1952742.693566	2014	2014	1200	답십리	MF	1	서울특별시 동대문구 답십리1동 474-5	동대문구 답십리 도서관	답십리도서관	N	서울특별시	동대문구	서울
95	1206	전곡마을 작은도서관	서울특별시 동대문구 전농1동 199-56	37.579284	127.063177	서울특별시	동대문구	711079	711079	070-8610-0300	-	http://www.l4d.or.kr/library/	-	법정공휴일, 도서관 사정에 의한 임시 휴관일	2	작은	-	-	2508	961429.946865	1953412.007471	2014	2014	1200	전곡마을(작)	MG	1	서울특별시 동대문구 전농동 산32-20	동대문구 배봉산 자연드림 작은도서관	자연드림작은도서관	N	서울특별시	동대문구	서울
96	1207	장안 가온누리 작은도서관	서울특별시 동대문구 천호대로 87길 43, 미나리어린이공원 내	37.581023	127.046915	서울특별시	동대문구	711080	711080	070-8610-0302	-	http://www.l4d.or.kr/library/	-	법정공휴일, 도서관 사정에 의한 임시 휴관일	2	작은	-	-	13002	959994.988142	1953611.785956	2014	2014	1200	가온누리(작)	MH	1	서울특별시 동대문구 전농동 591-52	동대문구 청량리 가온누리 작은도서관	가온누리작은도서관	N	서울특별시	동대문구	서울
97	1208	동대문구 장안 벚꽃길 작은도서관	서울특별시 동대문구 장안동 481-2	37.576349	127.076761	서울특별시	동대문구	711081	711081	070-8610-0301	-	http://www.l4d.or.kr/library/	-	법정공휴일, 도서관 사정에 의한 임시 휴관일	2	작은	-	-	13010	962627.90891	1953080.916193	2014	2014	1200	벚꽃길(작)	MI	1	서울특별시 동대문구 장안동 481-2	동대문구 장안 벚꽃길 작은도서관	벚꽃길작은도서관	N	서울특별시	동대문구	서울
98	1209	휘경어린이도서관	서울특별시 동대문구 망우로18가길 38	37.588681	127.060597	서울특별시	동대문구	111446	111446	02-2248-1959	02-2248-1969	https://www.l4d.or.kr/hgc/index.do	09:00~18:00	매주 월요일 / 법정공휴일, 도서관 필요에 의해 관장이 정하는 날	1	공공	지자체	2014	2497	961207.0171	1954455.698284	2014	2014	1200	휘경어린이	MJ	1	서울특별시 동대문구 휘경동 282-4	휘경 어린이도서관	휘경어린이도서관	N	서울특별시	동대문구	서울
99	2600	양산시립 중앙도서관	경상남도 양산시 물금읍 청룡로 11	35.325257	128.996509	경상남도	양산시	148122	148122	055-392-5900	055-392-5919	http://lib.yangsan.go.kr/	09:00~18:00	매주 월요일 / 법정공휴일	1	공공	지자체	2011	50601	1136021.519373	1704326.028136	2011	2015	2600	중앙	MA	12	경상남도 양산시 물금읍 가촌리 975-6	양산시립도서관	양산시립도서관	Y	경상남도	양산시	울산

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Space Separator

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

Space Separator

Dash Punctuation

Other Punctuation

Open Punctuation

Close Punctuation

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

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Open Punctuation

Other Letter

Most occurring scripts

Most frequent character per script

Common

Hangul

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values

Length

Common Values

Length

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values