diff --git a/estatetrend/__pycache__/__init__.cpython-312.pyc b/estatetrend/__pycache__/__init__.cpython-312.pyc
deleted file mode 100644
index 187ea51..0000000
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diff --git a/estatetrend/__pycache__/settings.cpython-312.pyc b/estatetrend/__pycache__/settings.cpython-312.pyc
deleted file mode 100644
index a0c9077..0000000
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diff --git a/map_visual/Total_People_2018.csv b/map_visual/Total_People_2018.csv
deleted file mode 100644
index e981717..0000000
--- a/map_visual/Total_People_2018.csv
+++ /dev/null
@@ -1,256 +0,0 @@
-Code,Population
-41190A,851012.0 
-41590,726498.0 
-41360,674771.0 
-11710,665620.0 
-41270,664842.0 
-45110,651435.0 
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-41111,291190.0 
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-26290,276812.0 
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-46110,233125.0 
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-30110,228291.0 
-48123,228067.0 
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-29155,217305.0 
-43112,214969.0 
-41500,213592.0 
-42150,213238.0 
-41630,212385.0 
-43130,209695.0 
-26470,205456.0 
-31200,204875.0 
-41310,200832.0 
-48127,200493.0 
-43114,195112.0 
-48129,191608.0 
-27170,189044.0 
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-30230,185035.0 
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-29110,94970.0 
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-26170,87988.0 
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-45190,82905.0 
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-42210,81726.0 
-44810,80424.0 
-27110,78688.0 
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-47280,72675.0 
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-42230,68668.0 
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-28140,67586.0 
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-46790,64444.0 
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-44825,63784.0 
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diff --git a/trades/__pycache__/__init__.cpython-312.pyc b/trades/__pycache__/__init__.cpython-312.pyc
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index 29445f9..0000000
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diff --git a/trades/__pycache__/admin.cpython-312.pyc b/trades/__pycache__/admin.cpython-312.pyc
deleted file mode 100644
index 8850586..0000000
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diff --git a/trades/__pycache__/apps.cpython-312.pyc b/trades/__pycache__/apps.cpython-312.pyc
deleted file mode 100644
index a67ad57..0000000
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diff --git a/trades/__pycache__/models.cpython-312.pyc b/trades/__pycache__/models.cpython-312.pyc
deleted file mode 100644
index 9563c8f..0000000
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diff --git a/transaction_data.csv b/transaction_data.csv
deleted file mode 100644
index b164511..0000000
--- a/transaction_data.csv
+++ /dev/null
@@ -1,84 +0,0 @@
-거래금액,년도,법정동,아파트,월,전용면적,층
-"      94,000",2019, 필운동,신동아블루아광화문의꿈,12,107.5,7
-"     125,000",2019, 사직동,광화문스페이스본(101동~105동),12,126.34,4
-"     159,000",2019, 사직동,광화문스페이스본(106동),12,153.42,11
-"     130,000",2019, 사직동,광화문스페이스본(101동~105동),12,108.55,5
-"     155,000",2019, 사직동,광화문스페이스본(101동~105동),12,159.01,9
-"     160,000",2019, 내수동,경희궁의아침3단지,12,149,16
-"     130,000",2019, 내수동,킹스매너,12,201.82,2
-"     143,000",2019, 내수동,경희궁의아침4단지,12,124.17,3
-"      30,500",2019, 익선동,현대뜨레비앙,12,48.54,2
-"      85,000",2019, 인의동,효성쥬얼리시티,12,106.81,13
-"      72,000",2019, 인의동,효성쥬얼리시티,12,84.64,11
-"      68,500",2019, 인의동,효성쥬얼리시티,12,84.98,14
-"      84,200",2019, 인의동,효성쥬얼리시티,12,98.39,16
-"      35,000",2019, 이화동,송림아마레스아파트,12,84.42,4
-"      17,000",2019, 충신동,CS타워,12,21.94,5
-"      25,000",2019, 동숭동,동성아파트(1동),12,57.96,1
-"      68,500",2019, 명륜1가,건양하늘터,12,84.78,7
-"      87,500",2019, 명륜2가,아남1,12,84.9,7
-"      87,500",2019, 명륜2가,아남1,12,84.9,5
-"      90,000",2019, 명륜2가,아남1,12,84.8,16
-"     113,000",2019, 명륜2가,아남2,12,114.36,3
-"     150,000",2019, 명륜2가,아남3,12,172.17,8
-"      91,000",2019, 명륜2가,아남1,12,84.9,16
-"      86,500",2019, 명륜2가,아남1,12,84.9,3
-"      61,500",2019, 명륜2가,아남2,12,59.4,2
-"      59,500",2019, 명륜2가,아남3,12,47.43,7
-"      90,000",2019, 명륜2가,아남1,12,84.9,15
-"      87,000",2019, 창신동,두산,12,84.9,13
-"      59,500",2019, 창신동,창신쌍용1,12,79.87,11
-"      50,000",2019, 창신동,창신쌍용2,12,79.87,15
-"      82,000",2019, 창신동,두산,12,84.9,1
-"      55,000",2019, 창신동,창신쌍용2,12,79.87,8
-"      89,900",2019, 창신동,두산,12,84.9,11
-"      49,900",2019, 창신동,창신쌍용2,12,64.66,10
-"      50,000",2019, 창신동,창신쌍용2,12,64.66,11
-"      62,000",2019, 창신동,두산,12,59.95,23
-"      49,500",2019, 창신동,창신쌍용2,12,64.66,10
-"      60,000",2019, 창신동,창신쌍용2,12,115.53,1
-"      25,500",2019, 창신동,덕산,12,59.28,3
-"      43,800",2019, 창신동,창신쌍용2,12,54.7,5
-"      44,700",2019, 창신동,창신쌍용2,12,64.66,2
-"      55,900",2019, 창신동,창신쌍용2,12,79.87,8
-"      70,000",2019, 창신동,창신쌍용1,12,106.62,13
-"      51,700",2019, 창신동,창신쌍용1,12,54.7,6
-"      34,100",2019, 창신동,동대문,12,28.8,3
-"      56,700",2019, 창신동,창신쌍용2,12,79.87,6
-"      55,800",2019, 창신동,창신쌍용2,12,79.87,9
-"      45,950",2019, 창신동,창신쌍용2,12,64.66,3
-"      47,500",2019, 창신동,창신쌍용2,12,64.66,4
-"      11,700",2019, 숭인동,숭인한양LEEPS,12,12.78,4
-"      62,400",2019, 숭인동,종로청계힐스테이트,12,59.9426,1
-"      80,000",2019, 숭인동,종로센트레빌,12,84.92,3
-"      69,500",2019, 숭인동,종로센트레빌,12,59.92,6
-"      13,000",2019, 숭인동,종로중흥S클래스,12,17.811,15
-"      80,000",2019, 숭인동,롯데캐슬천지인,12,84.95,11
-"      80,000",2019, 숭인동,종로센트레빌,12,84.92,3
-"      11,700",2019, 숭인동,삼전솔하임2차,12,14.69,6
-"      80,500",2019, 숭인동,종로센트레빌,12,84.92,10
-"      66,500",2019, 숭인동,종로청계힐스테이트,12,59.9426,3
-"      65,800",2019, 숭인동,종로센트레빌,12,59.92,1
-"     129,000",2019, 평동,경희궁자이(3단지),12,59.755,7
-"     140,000",2019, 평동,경희궁자이(3단지),12,59.855,4
-"     166,500",2019, 평동,경희궁자이(3단지),12,84.836,4
-"     150,000",2019, 홍파동,경희궁자이(2단지),12,84.944,1
-"     160,500",2019, 홍파동,경희궁자이(2단지),12,84.614,2
-"     170,000",2019, 홍파동,경희궁자이(2단지),12,84.614,6
-"     169,000",2019, 홍파동,경희궁자이(2단지),12,84.836,7
-"     235,000",2019, 홍파동,경희궁자이(2단지),12,116.986,6
-"      98,000",2019, 교북동,경희궁자이(4단지),12,45.879,8
-"      98,000",2019, 교북동,경희궁자이(4단지),12,45.879,8
-"      82,800",2019, 교북동,경희궁자이(4단지),12,37.2635,9
-"      50,000",2019, 평창동,삼성,12,84.93,4
-"      94,500",2019, 평창동,크래스빌,12,194.59,1
-"      97,000",2019, 평창동,엘리시아,12,206.22,2
-"      96,500",2019, 평창동,엘리시아,12,200.19,4
-"      38,700",2019, 평창동,삼성,12,59.97,11
-"      25,000",2019, 평창동,갑을아파트,12,64.88,11
-"      84,960",2019, 무악동,현대,12,84.92,2
-"      97,500",2019, 무악동,인왕산2차아이파크,12,84.0283,7
-"     130,000",2019, 무악동,인왕산아이파크,12,114.931,7
-"     106,000",2019, 무악동,인왕산아이파크,12,84.858,7
-"      90,800",2019, 무악동,현대,12,84.92,15
-"     130,000",2019, 무악동,인왕산아이파크,12,114.931,3