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yssymmt/tdatsqlkernel_walkthru.ipynb

Created September 6, 2023 14:33
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tdatsqlkernel_walkthru.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "ed876f38-ebbe-426a-aae3-82994ab3d8f7",
"metadata": {},
"source": [
"## Teradata SQL Kernelのウォークスルー"
]
},
{
"cell_type": "markdown",
"id": "05073bb7-d771-49cc-ad18-ebec51b251d6",
"metadata": {},
"source": [
"#### 接続情報のリストアップ"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "352662af-5bc5-4b3b-83cc-b69f0b77bc3b",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Disconnected: NAME=jumbo, USER=jumbo, HOST=192.168.181.128, DATABASE=jumbo\n"
]
}
],
"source": [
"%lsconnect"
]
},
{
"cell_type": "markdown",
"id": "1412c02e-b729-4655-88fa-0bb8cf9a195e",
"metadata": {},
"source": [
"#### 接続の実施"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "5d551d3a-92b8-4648-b33b-13241dfd9277",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Password: ········\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Success: 'jumbo' connection established and activated for user 'jumbo', with default database 'jumbo'\n"
]
}
],
"source": [
"%connect jumbo"
]
},
{
"cell_type": "markdown",
"id": "2ab8b5cd-72fe-487e-b5bb-be28a5dc9dd4",
"metadata": {},
"source": [
"#### Select文の実行"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "2a99318c-b94a-41b4-8e29-948359407b1d",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.teradata.resultset": "\"InfoKey\",\"InfoData\"\n\"LANGUAGE SUPPORT MODE\",\"Standard\"\n\"RELEASE\",\"17.20.03.09\"\n\"VERSION\",\"17.20.03.09\"",
"text/html": [
"<div class = \"td-resultset-table-div\" style = \"max-height: 100%; overflow-y: auto\">\n",
" <table class=\"tdhistory136132\"><style>\n",
" table.tdhistory136132 { display: block !important; min-height: 147px !important; overflow: auto !important; height: 147px !important; width: 100% !important; border: 1px solid rgb(207, 207, 207) !important; border-collapse: collapse !important; ; color: var(--jp-ui-font-color1) !important; }\n",
" th.tdhistory136132 { border: 1px solid rgb(198,198,198) !important; border-collapse: collapse !important; ; padding: 2px 5px !important; ; font-size: 13px !important; ; text-align: center !important; white-space: normal !important; color: var(--jp-ui-font-color1) !important; }\n",
" th.tdhistory136132:last-child { text-align: left !important; }\n",
" tbody.tdhistory136132 tr:nth-child(even) { background: rgba(243, 243, 243, 0.75) !important; }\n",
" tbody.tdhistory136132 tr:nth-child(odd) { background: var(--jp-ui-inverse-font-color1) !important; }\n",
" td.tdhistory136132 { border: 1px solid rgb(207, 207, 207) !important; border-collapse: collapse !important; ; padding: 2px 5px !important; ; font-size: 13px !important; ; text-align: left !important; white-space: nowrap !important; overflow:hidden !important; text-overflow:ellipsis !important;; }\n",
" </style><thead><tr style= \"background: rgba(243, 243, 243, 0.75)\"><th class=\"tdhistory136132\"></th><th class=\"tdhistory136132\">InfoKey</th><th class=\"tdhistory136132\">InfoData</th></tr></thead><tbody class=\"tdhistory136132 resultset-body\"><tr><th class=\"tdhistory136132\" style= \"background: rgba(243, 243, 243, 0.75)\">1</th><td class=\"tdhistory136132\">LANGUAGE SUPPORT MODE</td><td class=\"tdhistory136132\">Standard</td></tr><tr><th class=\"tdhistory136132\" style= \"background: rgba(243, 243, 243, 0.75)\">2</th><td class=\"tdhistory136132\">RELEASE</td><td class=\"tdhistory136132\">17.20.03.09</td></tr><tr><th class=\"tdhistory136132\" style= \"background: rgba(243, 243, 243, 0.75)\">3</th><td class=\"tdhistory136132\">VERSION</td><td class=\"tdhistory136132\">17.20.03.09</td></tr></tbody></table></div>"
]
},
"execution_count": 6,
"metadata": {
"application/vnd.teradata.resultset": "{\"resultSetID\":\"C:\\\\\\\\Users\\\\\\\\yourusername\\\\\\\\Teradata\\\\\\\\Resultsets\\\\\\\\2023.09.04_22.20.58.169_JST\",\"historyID\":7,\"chunkID\":\"00001\",\"sessionid\":\"\",\"portnum\":\"\",\"dockermode\":\"standalone\",\"totalRowCount\":3,\"chunkCount\":0,\"rowLimit\":0,\"columnMetadata\":[{\"columnName\":\"InfoKey\",\"columnTypeName\":\"VARCHAR\",\"length\":30,\"scale\":30},{\"columnNumber\":1,\"columnName\":\"InfoData\",\"columnTypeName\":\"VARCHAR\",\"length\":16384,\"scale\":16384}]}"
},
"output_type": "execute_result"
}
],
"source": [
"select * from dbc.dbcinfo"
]
},
{
"cell_type": "markdown",
"id": "a934d17c-6f5d-4e6a-85d8-43825868249d",
"metadata": {},
"source": [
"#### Create文の実行"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "b38d7e1f-b5bf-4c17-8326-71be1a21ab1b",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"Success: 0 rows affected"
]
},
"execution_count": 5,
"metadata": {
"application/vnd.teradata.resultset": ""
},
"output_type": "execute_result"
}
],
"source": [
"create table jumbo.テスト ( \n",
"整数 integer, \n",
"文字列 character varying(10) character set unicode, \n",
"数値 float \n",
") primary index(整数)"
]
},
{
"cell_type": "markdown",
"id": "14933e59-84a6-495d-942f-95e67ca4b784",
"metadata": {},
"source": [
"#### Insert文の実行"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "8f76d725-c038-47f0-aa61-3eff3554c85b",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"Success: 1 rows affected"
]
},
"execution_count": 7,
"metadata": {
"application/vnd.teradata.resultset": ""
},
"output_type": "execute_result"
},
{
"data": {
"text/plain": [
"Success: 1 rows affected"
]
},
"execution_count": 7,
"metadata": {
"application/vnd.teradata.resultset": ""
},
"output_type": "execute_result"
}
],
"source": [
"insert into jumbo.テスト values (1,'文字列サンプル1',1.1);\n",
"insert into jumbo.テスト values (2,'文字列サンプル2',1.2);"
]
},
{
"cell_type": "markdown",
"id": "3952a4dc-a6a9-4d38-aa48-085e3cd9fb04",
"metadata": {},
"source": [
"#### 結果の確認"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "9cc20e20-f707-4fca-ad97-8234a2e04203",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.teradata.resultset": "\"整数\",\"文字列\",\"数値\"\n\"1\",\"文字列サンプル1\",\"1.1\"\n\"2\",\"文字列サンプル2\",\"1.2\"",
"text/html": [
"<div class = \"td-resultset-table-div\" style = \"max-height: 100%; overflow-y: auto\">\n",
" <table class=\"tdhistory621159\"><style>\n",
" table.tdhistory621159 { display: block !important; min-height: 126px !important; overflow: auto !important; height: 126px !important; width: 100% !important; border: 1px solid rgb(207, 207, 207) !important; border-collapse: collapse !important; ; color: var(--jp-ui-font-color1) !important; }\n",
" th.tdhistory621159 { border: 1px solid rgb(198,198,198) !important; border-collapse: collapse !important; ; padding: 2px 5px !important; ; font-size: 13px !important; ; text-align: center !important; white-space: normal !important; color: var(--jp-ui-font-color1) !important; }\n",
" th.tdhistory621159:last-child { text-align: left !important; }\n",
" tbody.tdhistory621159 tr:nth-child(even) { background: rgba(243, 243, 243, 0.75) !important; }\n",
" tbody.tdhistory621159 tr:nth-child(odd) { background: var(--jp-ui-inverse-font-color1) !important; }\n",
" td.tdhistory621159 { border: 1px solid rgb(207, 207, 207) !important; border-collapse: collapse !important; ; padding: 2px 5px !important; ; font-size: 13px !important; ; text-align: left !important; white-space: nowrap !important; overflow:hidden !important; text-overflow:ellipsis !important;; }\n",
" </style><thead><tr style= \"background: rgba(243, 243, 243, 0.75)\"><th class=\"tdhistory621159\"></th><th class=\"tdhistory621159\">整数</th><th class=\"tdhistory621159\">文字列</th><th class=\"tdhistory621159\">数値</th></tr></thead><tbody class=\"tdhistory621159 resultset-body\"><tr><th class=\"tdhistory621159\" style= \"background: rgba(243, 243, 243, 0.75)\">1</th><td class=\"tdhistory621159\">1</td><td class=\"tdhistory621159\">文字列サンプル1</td><td class=\"tdhistory621159\">1.1</td></tr><tr><th class=\"tdhistory621159\" style= \"background: rgba(243, 243, 243, 0.75)\">2</th><td class=\"tdhistory621159\">2</td><td class=\"tdhistory621159\">文字列サンプル2</td><td class=\"tdhistory621159\">1.2</td></tr></tbody></table></div>"
]
},
"execution_count": 8,
"metadata": {
"application/vnd.teradata.resultset": "{\"resultSetID\":\"C:\\\\\\\\Users\\\\\\\\yourusername\\\\\\\\Teradata\\\\\\\\Resultsets\\\\\\\\2023.09.04_22.22.18.708_JST\",\"historyID\":9,\"chunkID\":\"00001\",\"sessionid\":\"\",\"portnum\":\"\",\"dockermode\":\"standalone\",\"totalRowCount\":2,\"chunkCount\":0,\"rowLimit\":0,\"columnMetadata\":[{\"columnName\":\"整数\",\"columnTypeName\":\"INTEGER\"},{\"columnNumber\":1,\"columnName\":\"文字列\",\"columnTypeName\":\"VARCHAR\",\"length\":10,\"scale\":10},{\"columnNumber\":2,\"columnName\":\"数値\",\"columnTypeName\":\"FLOAT\"}]}"
},
"output_type": "execute_result"
}
],
"source": [
"select * from jumbo.テスト"
]
},
{
"cell_type": "markdown",
"id": "70b74bce-3a73-4cab-bce6-c37999fe04f6",
"metadata": {},
"source": [
"#### Update文の実行"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "2e5511d2-55ec-4101-834d-2d4ec217f586",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"Success: 1 rows affected"
]
},
"execution_count": 9,
"metadata": {
"application/vnd.teradata.resultset": ""
},
"output_type": "execute_result"
}
],
"source": [
"update jumbo.テスト set 文字列='あいうえおabc' where 整数=1"
]
},
{
"cell_type": "markdown",
"id": "929b43e8-b60f-4426-a318-bb9f94823344",
"metadata": {},
"source": [
"#### 結果の確認"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "f4b177d4-6125-4d9d-b596-33fdd0a79027",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.teradata.resultset": "\"整数\",\"文字列\",\"数値\"\n\"1\",\"あいうえおabc\",\"1.1\"\n\"2\",\"文字列サンプル2\",\"1.2\"",
"text/html": [
"<div class = \"td-resultset-table-div\" style = \"max-height: 100%; overflow-y: auto\">\n",
" <table class=\"tdhistory358644\"><style>\n",
" table.tdhistory358644 { display: block !important; min-height: 126px !important; overflow: auto !important; height: 126px !important; width: 100% !important; border: 1px solid rgb(207, 207, 207) !important; border-collapse: collapse !important; ; color: var(--jp-ui-font-color1) !important; }\n",
" th.tdhistory358644 { border: 1px solid rgb(198,198,198) !important; border-collapse: collapse !important; ; padding: 2px 5px !important; ; font-size: 13px !important; ; text-align: center !important; white-space: normal !important; color: var(--jp-ui-font-color1) !important; }\n",
" th.tdhistory358644:last-child { text-align: left !important; }\n",
" tbody.tdhistory358644 tr:nth-child(even) { background: rgba(243, 243, 243, 0.75) !important; }\n",
" tbody.tdhistory358644 tr:nth-child(odd) { background: var(--jp-ui-inverse-font-color1) !important; }\n",
" td.tdhistory358644 { border: 1px solid rgb(207, 207, 207) !important; border-collapse: collapse !important; ; padding: 2px 5px !important; ; font-size: 13px !important; ; text-align: left !important; white-space: nowrap !important; overflow:hidden !important; text-overflow:ellipsis !important;; }\n",
" </style><thead><tr style= \"background: rgba(243, 243, 243, 0.75)\"><th class=\"tdhistory358644\"></th><th class=\"tdhistory358644\">整数</th><th class=\"tdhistory358644\">文字列</th><th class=\"tdhistory358644\">数値</th></tr></thead><tbody class=\"tdhistory358644 resultset-body\"><tr><th class=\"tdhistory358644\" style= \"background: rgba(243, 243, 243, 0.75)\">1</th><td class=\"tdhistory358644\">1</td><td class=\"tdhistory358644\">あいうえおabc</td><td class=\"tdhistory358644\">1.1</td></tr><tr><th class=\"tdhistory358644\" style= \"background: rgba(243, 243, 243, 0.75)\">2</th><td class=\"tdhistory358644\">2</td><td class=\"tdhistory358644\">文字列サンプル2</td><td class=\"tdhistory358644\">1.2</td></tr></tbody></table></div>"
]
},
"execution_count": 10,
"metadata": {
"application/vnd.teradata.resultset": "{\"resultSetID\":\"C:\\\\\\\\Users\\\\\\\\yourusername\\\\\\\\Teradata\\\\\\\\Resultsets\\\\\\\\2023.09.04_22.24.21.869_JST\",\"historyID\":11,\"chunkID\":\"00001\",\"sessionid\":\"\",\"portnum\":\"\",\"dockermode\":\"standalone\",\"totalRowCount\":2,\"chunkCount\":0,\"rowLimit\":0,\"columnMetadata\":[{\"columnName\":\"整数\",\"columnTypeName\":\"INTEGER\"},{\"columnNumber\":1,\"columnName\":\"文字列\",\"columnTypeName\":\"VARCHAR\",\"length\":10,\"scale\":10},{\"columnNumber\":2,\"columnName\":\"数値\",\"columnTypeName\":\"FLOAT\"}]}"
},
"output_type": "execute_result"
}
],
"source": [
"select * from jumbo.テスト"
]
},
{
"cell_type": "markdown",
"id": "f8855a17-d536-4cff-afa0-78d298e83020",
"metadata": {},
"source": [
"#### Delete文の実行"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "5b673b03-52de-437f-9601-a7aff767fcc0",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"Success: 1 rows affected"
]
},
"execution_count": 11,
"metadata": {
"application/vnd.teradata.resultset": ""
},
"output_type": "execute_result"
}
],
"source": [
"delete from jumbo.テスト where 整数=1"
]
},
{
"cell_type": "markdown",
"id": "d3dd33b3-1746-4ef2-b64c-6e00f3492739",
"metadata": {},
"source": [
"#### 結果の確認"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "b616978c-6802-404a-8449-fca5550e61a4",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.teradata.resultset": "\"整数\",\"文字列\",\"数値\"\n\"2\",\"文字列サンプル2\",\"1.2\"",
"text/html": [
"<div class = \"td-resultset-table-div\" style = \"max-height: 100%; overflow-y: auto\">\n",
" <table class=\"tdhistory392587\"><style>\n",
" table.tdhistory392587 { display: block !important; min-height: 105px !important; overflow: auto !important; height: 105px !important; width: 100% !important; border: 1px solid rgb(207, 207, 207) !important; border-collapse: collapse !important; ; color: var(--jp-ui-font-color1) !important; }\n",
" th.tdhistory392587 { border: 1px solid rgb(198,198,198) !important; border-collapse: collapse !important; ; padding: 2px 5px !important; ; font-size: 13px !important; ; text-align: center !important; white-space: normal !important; color: var(--jp-ui-font-color1) !important; }\n",
" th.tdhistory392587:last-child { text-align: left !important; }\n",
" tbody.tdhistory392587 tr:nth-child(even) { background: rgba(243, 243, 243, 0.75) !important; }\n",
" tbody.tdhistory392587 tr:nth-child(odd) { background: var(--jp-ui-inverse-font-color1) !important; }\n",
" td.tdhistory392587 { border: 1px solid rgb(207, 207, 207) !important; border-collapse: collapse !important; ; padding: 2px 5px !important; ; font-size: 13px !important; ; text-align: left !important; white-space: nowrap !important; overflow:hidden !important; text-overflow:ellipsis !important;; }\n",
" </style><thead><tr style= \"background: rgba(243, 243, 243, 0.75)\"><th class=\"tdhistory392587\"></th><th class=\"tdhistory392587\">整数</th><th class=\"tdhistory392587\">文字列</th><th class=\"tdhistory392587\">数値</th></tr></thead><tbody class=\"tdhistory392587 resultset-body\"><tr><th class=\"tdhistory392587\" style= \"background: rgba(243, 243, 243, 0.75)\">1</th><td class=\"tdhistory392587\">2</td><td class=\"tdhistory392587\">文字列サンプル2</td><td class=\"tdhistory392587\">1.2</td></tr></tbody></table></div>"
]
},
"execution_count": 12,
"metadata": {
"application/vnd.teradata.resultset": "{\"resultSetID\":\"C:\\\\\\\\Users\\\\\\\\yourusername\\\\\\\\Teradata\\\\\\\\Resultsets\\\\\\\\2023.09.04_22.25.27.715_JST\",\"historyID\":13,\"chunkID\":\"00001\",\"sessionid\":\"\",\"portnum\":\"\",\"dockermode\":\"standalone\",\"totalRowCount\":1,\"chunkCount\":0,\"rowLimit\":0,\"columnMetadata\":[{\"columnName\":\"整数\",\"columnTypeName\":\"INTEGER\"},{\"columnNumber\":1,\"columnName\":\"文字列\",\"columnTypeName\":\"VARCHAR\",\"length\":10,\"scale\":10},{\"columnNumber\":2,\"columnName\":\"数値\",\"columnTypeName\":\"FLOAT\"}]}"
},
"output_type": "execute_result"
}
],
"source": [
"select * from jumbo.テスト"
]
},
{
"cell_type": "markdown",
"id": "65fec52f-f074-4135-9e11-2b912173207c",
"metadata": {
"tags": []
},
"source": [
"#### Drop文の実行"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "e4a4b6ce-7c8d-4534-8492-9d2e765ebf77",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"Success: 17 rows affected"
]
},
"execution_count": 14,
"metadata": {
"application/vnd.teradata.resultset": ""
},
"output_type": "execute_result"
}
],
"source": [
"drop table jumbo.テスト"
]
},
{
"cell_type": "markdown",
"id": "d1b84b3c-2381-40af-9349-7a7d708acf14",
"metadata": {},
"source": [
"#### 結果の確認"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "9d45d73c-2f25-4d6c-b9d6-15990af58390",
"metadata": {
"tags": []
},
"outputs": [
{
"ename": "ERROR",
"evalue": "Unable to run SQL: Unable to run SQL query: Database reported error:3807:Object 'jumbo.テスト' does not exist.",
"output_type": "error",
"traceback": [
"Unable to run SQL: Unable to run SQL query: Database reported error:3807:Object 'jumbo.テスト' does not exist."
]
}
],
"source": [
"select * from jumbo.テスト"
]
},
{
"cell_type": "markdown",
"id": "5fb4135b-9969-46ab-876a-33279f2185ae",
"metadata": {},
"source": [
"#### CSVロード用のテーブル作成"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "181b1286-2196-4093-a338-a349ed79e56c",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"Success: 0 rows affected"
]
},
"execution_count": 22,
"metadata": {
"application/vnd.teradata.resultset": ""
},
"output_type": "execute_result"
}
],
"source": [
"create table jumbo.iriso ( \n",
"番号 integer, \n",
"変数1 decimal(5,3), \n",
"変数2 decimal(5,3), \n",
"変数3 decimal(5,3), \n",
"変数4 decimal(5,3), \n",
"種別 varchar(10) character set unicode \n",
") primary index(番号) \n",
"; "
]
},
{
"cell_type": "markdown",
"id": "907ecb4a-c6de-43d5-8426-56756e6fc811",
"metadata": {},
"source": [
"#### CSVファイルのロード"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "887dedc8-096b-44f4-813e-dce5783015bd",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using database: jumbo\n",
"2023-09-04T22:42:48.328 Start Batch Loading...\n",
" \u001b[36m\u001b[m \n",
"Data Load: Number Rows Loaded = 150, Elapsed Time = 00:00:00.099, History ID = 21\n",
"Success Loading Data: from file,'C:\\Users\\yourusername\\dat\\iris.csv', into table, jumbo.iriso."
]
}
],
"source": [
"%dataload database=jumbo, table=iriso, filepath=dat/iris.csv, skiprows=1"
]
},
{
"cell_type": "markdown",
"id": "90049ffb-78f4-4878-bac7-6c738ca975f2",
"metadata": {
"tags": []
},
"source": [
"#### データの確認"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "5b3e1376-720d-4c0b-8a7b-aa3829ec9333",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.teradata.resultset": 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00\",\"Setosa\"\n\"140\",\"6.900\",\"3.100\",\"5.400\",\"2.100\",\"Virginica\"\n\"60\",\"5.200\",\"2.700\",\"3.900\",\"1.400\",\"Versicolor\"\n\"119\",\"7.700\",\"2.600\",\"6.900\",\"2.300\",\"Virginica\"\n\"39\",\"4.400\",\"3.000\",\"1.300\",\".200\",\"Setosa\"\n\"16\",\"5.700\",\"4.400\",\"1.500\",\".400\",\"Setosa\"\n\"18\",\"5.100\",\"3.500\",\"1.400\",\".300\",\"Setosa\"\n\"138\",\"6.400\",\"3.100\",\"5.500\",\"1.800\",\"Virginica\"\n\"79\",\"6.000\",\"2.900\",\"4.500\",\"1.500\",\"Versicolor\"\n\"117\",\"6.500\",\"3.000\",\"5.500\",\"1.800\",\"Virginica\"\n\"58\",\"4.900\",\"2.400\",\"3.300\",\"1.000\",\"Versicolor\"\n\"35\",\"4.900\",\"3.100\",\"1.500\",\".200\",\"Setosa\"\n\"37\",\"5.500\",\"3.500\",\"1.300\",\".200\",\"Setosa\"\n\"14\",\"4.300\",\"3.000\",\"1.100\",\".100\",\"Setosa\"\n\"98\",\"6.200\",\"2.900\",\"4.300\",\"1.300\",\"Versicolor\"\n\"136\",\"7.700\",\"3.000\",\"6.100\",\"2.300\",\"Virginica\"\n\"77\",\"6.800\",\"2.800\",\"4.800\",\"1.400\",\"Versicolor\"\n\"33\",\"5.200\",\"4.100\",\"1.500\",\".100\",\"Setosa\"\n\"56\",\"5.700\",\"2.800\",\"4.500\",\"1.300\",\"Versicolor\"\n\"12\",\"4.800\",\"3.400\",\"1.600\",\".200\",\"Setosa\"\n\"96\",\"5.700\",\"3.000\",\"4.200\",\"1.200\",\"Versicolor\"\n\"52\",\"6.400\",\"3.200\",\"4.500\",\"1.500\",\"Versicolor\"\n\"75\",\"6.400\",\"2.900\",\"4.300\",\"1.300\",\"Versicolor\"\n\"31\",\"4.800\",\"3.100\",\"1.600\",\".200\",\"Setosa\"\n\"54\",\"5.500\",\"2.300\",\"4.000\",\"1.300\",\"Versicolor\"\n\"10\",\"4.900\",\"3.100\",\"1.500\",\".100\",\"Setosa\"\n\"115\",\"5.800\",\"2.800\",\"5.100\",\"2.400\",\"Virginica\"\n\"71\",\"5.900\",\"3.200\",\"4.800\",\"1.800\",\"Versicolor\"\n\"94\",\"5.000\",\"2.300\",\"3.300\",\"1.000\",\"Versicolor\"\n\"50\",\"5.000\",\"3.300\",\"1.400\",\".200\",\"Setosa\"\n\"73\",\"6.300\",\"2.500\",\"4.900\",\"1.500\",\"Versicolor\"\n\"29\",\"5.200\",\"3.400\",\"1.400\",\".200\",\"Setosa\"\n\"134\",\"6.300\",\"2.800\",\"5.100\",\"1.500\",\"Virginica\"\n\"69\",\"6.200\",\"2.200\",\"4.500\",\"1.500\",\"Versicolor\"\n\"113\",\"6.800\",\"3.000\",\"5.500\",\"2.100\",\"Virginica\"\n\"48\",\"4.600\",\"3.200\",\"1.400\",\".200\",\"Setosa\"\n\"92\",\"6.100\",\"3.000\",\"4.600\",\"1.400\",\"Versicolor\"\n\"27\",\"5.000\",\"3.400\",\"1.600\",\".400\",\"Setosa\"\n\"132\",\"7.900\",\"3.800\",\"6.400\",\"2.000\",\"Virginica\"\n\"88\",\"6.300\",\"2.300\",\"4.400\",\"1.300\",\"Versicolor\"\n\"111\",\"6.500\",\"3.200\",\"5.100\",\"2.000\",\"Virginica\"\n\"67\",\"5.600\",\"3.000\",\"4.500\",\"1.500\",\"Versicolor\"\n\"90\",\"5.500\",\"2.500\",\"4.000\",\"1.300\",\"Versicolor\"\n\"46\",\"4.800\",\"3.000\",\"1.400\",\".300\",\"Setosa\"\n\"8\",\"5.000\",\"3.400\",\"1.500\",\".200\",\"Setosa\"\n\"107\",\"4.900\",\"2.500\",\"4.500\",\"1.700\",\"Virginica\"\n\"130\",\"7.200\",\"3.000\",\"5.800\",\"1.600\",\"Virginica\"\n\"86\",\"6.000\",\"3.400\",\"4.500\",\"1.600\",\"Versicolor\"\n\"109\",\"6.700\",\"2.500\",\"5.800\",\"1.800\",\"Virginica\"\n\"65\",\"5.600\",\"2.900\",\"3.600\",\"1.300\",\"Versicolor\"\n\"149\",\"6.200\",\"3.400\",\"5.400\",\"2.300\",\"Virginica\"\n\"105\",\"6.500\",\"3.000\",\"5.800\",\"2.200\",\"Virginica\"\n\"6\",\"5.400\",\"3.900\",\"1.700\",\".400\",\"Setosa\"\n\"84\",\"6.000\",\"2.700\",\"5.100\",\"1.600\",\"Versicolor\"\n\"128\",\"6.100\",\"3.000\",\"4.900\",\"1.800\",\"Virginica\"\n\"63\",\"6.000\",\"2.200\",\"4.000\",\"1.000\",\"Versicolor\"\n\"25\",\"4.800\",\"3.400\",\"1.900\",\".200\",\"Setosa\"\n\"124\",\"6.300\",\"2.700\",\"4.900\",\"1.800\",\"Virginica\"\n\"147\",\"6.300\",\"2.500\",\"5.000\",\"1.900\",\"Virginica\"\n\"103\",\"7.100\",\"3.000\",\"5.900\",\"2.100\",\"Virginica\"\n\"4\",\"4.600\",\"3.100\",\"1.500\",\".200\",\"Setosa\"\n\"82\",\"5.500\",\"2.400\",\"3.700\",\"1.000\",\"Versicolor\"\n\"126\",\"7.200\",\"3.200\",\"6.000\",\"1.800\",\"Virginica\"\n\"143\",\"5.800\",\"2.700\",\"5.100\",\"1.900\",\"Virginica\"\n\"44\",\"5.000\",\"3.500\",\"1.600\",\".600\",\"Setosa\"\n\"23\",\"4.600\",\"3.600\",\"1.000\",\".200\",\"Setosa\"\n\"145\",\"6.700\",\"3.300\",\"5.700\",\"2.500\",\"Virginica\"\n\"2\",\"4.900\",\"3.000\",\"1.400\",\".200\",\"Setosa\"\n\"42\",\"4.500\",\"2.300\",\"1.300\",\".300\",\"Setosa\"\n\"21\",\"5.400\",\"3.400\",\"1.700\",\".200\",\"Setosa\"",
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" </style><thead><tr style= \"background: rgba(243, 243, 243, 0.75)\"><th class=\"tdhistory872657\"></th><th class=\"tdhistory872657\">番号</th><th class=\"tdhistory872657\">変数1</th><th class=\"tdhistory872657\">変数2</th><th class=\"tdhistory872657\">変数3</th><th class=\"tdhistory872657\">変数4</th><th class=\"tdhistory872657\">種別</th></tr></thead><tbody class=\"tdhistory872657 resultset-body\"><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">1</th><td class=\"tdhistory872657\">61</td><td class=\"tdhistory872657\">5.000</td><td class=\"tdhistory872657\">2.000</td><td class=\"tdhistory872657\">3.500</td><td class=\"tdhistory872657\">1.000</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">2</th><td class=\"tdhistory872657\">122</td><td class=\"tdhistory872657\">5.600</td><td class=\"tdhistory872657\">2.800</td><td class=\"tdhistory872657\">4.900</td><td class=\"tdhistory872657\">2.000</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">3</th><td class=\"tdhistory872657\">40</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">3.400</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">4</th><td class=\"tdhistory872657\">101</td><td class=\"tdhistory872657\">6.300</td><td class=\"tdhistory872657\">3.300</td><td class=\"tdhistory872657\">6.000</td><td class=\"tdhistory872657\">2.500</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">5</th><td class=\"tdhistory872657\">19</td><td class=\"tdhistory872657\">5.700</td><td class=\"tdhistory872657\">3.800</td><td class=\"tdhistory872657\">1.700</td><td class=\"tdhistory872657\">.300</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">6</th><td class=\"tdhistory872657\">141</td><td class=\"tdhistory872657\">6.700</td><td class=\"tdhistory872657\">3.100</td><td class=\"tdhistory872657\">5.600</td><td class=\"tdhistory872657\">2.400</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">7</th><td class=\"tdhistory872657\">80</td><td class=\"tdhistory872657\">5.700</td><td class=\"tdhistory872657\">2.600</td><td class=\"tdhistory872657\">3.500</td><td class=\"tdhistory872657\">1.000</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">8</th><td class=\"tdhistory872657\">120</td><td class=\"tdhistory872657\">6.000</td><td class=\"tdhistory872657\">2.200</td><td class=\"tdhistory872657\">5.000</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">9</th><td class=\"tdhistory872657\">59</td><td class=\"tdhistory872657\">6.600</td><td class=\"tdhistory872657\">2.900</td><td class=\"tdhistory872657\">4.600</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">10</th><td class=\"tdhistory872657\">99</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">2.500</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">1.100</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">11</th><td class=\"tdhistory872657\">38</td><td class=\"tdhistory872657\">4.900</td><td class=\"tdhistory872657\">3.600</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">.100</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">12</th><td class=\"tdhistory872657\">17</td><td class=\"tdhistory872657\">5.400</td><td class=\"tdhistory872657\">3.900</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">.400</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">13</th><td class=\"tdhistory872657\">78</td><td class=\"tdhistory872657\">6.700</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">5.000</td><td class=\"tdhistory872657\">1.700</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">14</th><td class=\"tdhistory872657\">139</td><td class=\"tdhistory872657\">6.000</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">4.800</td><td class=\"tdhistory872657\">1.800</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">15</th><td class=\"tdhistory872657\">57</td><td class=\"tdhistory872657\">6.300</td><td class=\"tdhistory872657\">3.300</td><td class=\"tdhistory872657\">4.700</td><td class=\"tdhistory872657\">1.600</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">16</th><td class=\"tdhistory872657\">118</td><td class=\"tdhistory872657\">7.700</td><td class=\"tdhistory872657\">3.800</td><td class=\"tdhistory872657\">6.700</td><td class=\"tdhistory872657\">2.200</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">17</th><td class=\"tdhistory872657\">36</td><td class=\"tdhistory872657\">5.000</td><td class=\"tdhistory872657\">3.200</td><td class=\"tdhistory872657\">1.200</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">18</th><td class=\"tdhistory872657\">15</td><td class=\"tdhistory872657\">5.800</td><td class=\"tdhistory872657\">4.000</td><td class=\"tdhistory872657\">1.200</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">19</th><td class=\"tdhistory872657\">97</td><td class=\"tdhistory872657\">5.700</td><td class=\"tdhistory872657\">2.900</td><td class=\"tdhistory872657\">4.200</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">20</th><td class=\"tdhistory872657\">137</td><td class=\"tdhistory872657\">6.300</td><td class=\"tdhistory872657\">3.400</td><td class=\"tdhistory872657\">5.600</td><td class=\"tdhistory872657\">2.400</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">21</th><td class=\"tdhistory872657\">76</td><td class=\"tdhistory872657\">6.600</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">4.400</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">22</th><td class=\"tdhistory872657\">34</td><td class=\"tdhistory872657\">5.500</td><td class=\"tdhistory872657\">4.200</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">23</th><td class=\"tdhistory872657\">55</td><td class=\"tdhistory872657\">6.500</td><td class=\"tdhistory872657\">2.800</td><td class=\"tdhistory872657\">4.600</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">24</th><td class=\"tdhistory872657\">13</td><td class=\"tdhistory872657\">4.800</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">.100</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">25</th><td class=\"tdhistory872657\">116</td><td class=\"tdhistory872657\">6.400</td><td class=\"tdhistory872657\">3.200</td><td class=\"tdhistory872657\">5.300</td><td class=\"tdhistory872657\">2.300</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">26</th><td class=\"tdhistory872657\">135</td><td class=\"tdhistory872657\">6.100</td><td class=\"tdhistory872657\">2.600</td><td class=\"tdhistory872657\">5.600</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">27</th><td class=\"tdhistory872657\">95</td><td class=\"tdhistory872657\">5.600</td><td class=\"tdhistory872657\">2.700</td><td class=\"tdhistory872657\">4.200</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">28</th><td class=\"tdhistory872657\">53</td><td class=\"tdhistory872657\">6.900</td><td class=\"tdhistory872657\">3.100</td><td class=\"tdhistory872657\">4.900</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">29</th><td class=\"tdhistory872657\">74</td><td class=\"tdhistory872657\">6.100</td><td class=\"tdhistory872657\">2.800</td><td class=\"tdhistory872657\">4.700</td><td class=\"tdhistory872657\">1.200</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">30</th><td class=\"tdhistory872657\">32</td><td class=\"tdhistory872657\">5.400</td><td class=\"tdhistory872657\">3.400</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">.400</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">31</th><td class=\"tdhistory872657\">114</td><td class=\"tdhistory872657\">5.700</td><td class=\"tdhistory872657\">2.500</td><td class=\"tdhistory872657\">5.000</td><td class=\"tdhistory872657\">2.000</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">32</th><td class=\"tdhistory872657\">11</td><td class=\"tdhistory872657\">5.400</td><td class=\"tdhistory872657\">3.700</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">33</th><td class=\"tdhistory872657\">93</td><td class=\"tdhistory872657\">5.800</td><td class=\"tdhistory872657\">2.600</td><td class=\"tdhistory872657\">4.000</td><td class=\"tdhistory872657\">1.200</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">34</th><td class=\"tdhistory872657\">51</td><td class=\"tdhistory872657\">7.000</td><td class=\"tdhistory872657\">3.200</td><td class=\"tdhistory872657\">4.700</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">35</th><td class=\"tdhistory872657\">72</td><td class=\"tdhistory872657\">6.100</td><td class=\"tdhistory872657\">2.800</td><td class=\"tdhistory872657\">4.000</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">36</th><td class=\"tdhistory872657\">30</td><td class=\"tdhistory872657\">4.700</td><td class=\"tdhistory872657\">3.200</td><td class=\"tdhistory872657\">1.600</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">37</th><td class=\"tdhistory872657\">133</td><td class=\"tdhistory872657\">6.400</td><td class=\"tdhistory872657\">2.800</td><td class=\"tdhistory872657\">5.600</td><td class=\"tdhistory872657\">2.200</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">38</th><td class=\"tdhistory872657\">9</td><td class=\"tdhistory872657\">4.400</td><td class=\"tdhistory872657\">2.900</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">39</th><td class=\"tdhistory872657\">112</td><td class=\"tdhistory872657\">6.400</td><td class=\"tdhistory872657\">2.700</td><td class=\"tdhistory872657\">5.300</td><td class=\"tdhistory872657\">1.900</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">40</th><td class=\"tdhistory872657\">70</td><td class=\"tdhistory872657\">5.600</td><td class=\"tdhistory872657\">2.500</td><td class=\"tdhistory872657\">3.900</td><td class=\"tdhistory872657\">1.100</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">41</th><td class=\"tdhistory872657\">91</td><td class=\"tdhistory872657\">5.500</td><td class=\"tdhistory872657\">2.600</td><td class=\"tdhistory872657\">4.400</td><td class=\"tdhistory872657\">1.200</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">42</th><td class=\"tdhistory872657\">49</td><td class=\"tdhistory872657\">5.300</td><td class=\"tdhistory872657\">3.700</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">43</th><td class=\"tdhistory872657\">131</td><td class=\"tdhistory872657\">7.400</td><td class=\"tdhistory872657\">2.800</td><td class=\"tdhistory872657\">6.100</td><td class=\"tdhistory872657\">1.900</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">44</th><td class=\"tdhistory872657\">28</td><td class=\"tdhistory872657\">5.200</td><td class=\"tdhistory872657\">3.500</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">45</th><td class=\"tdhistory872657\">110</td><td class=\"tdhistory872657\">7.200</td><td class=\"tdhistory872657\">3.600</td><td class=\"tdhistory872657\">6.100</td><td class=\"tdhistory872657\">2.500</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">46</th><td class=\"tdhistory872657\">89</td><td class=\"tdhistory872657\">5.600</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">4.100</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">47</th><td class=\"tdhistory872657\">150</td><td class=\"tdhistory872657\">5.900</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">1.800</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">48</th><td class=\"tdhistory872657\">68</td><td class=\"tdhistory872657\">5.800</td><td class=\"tdhistory872657\">2.700</td><td class=\"tdhistory872657\">4.100</td><td class=\"tdhistory872657\">1.000</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">49</th><td class=\"tdhistory872657\">7</td><td class=\"tdhistory872657\">4.600</td><td class=\"tdhistory872657\">3.400</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">.300</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">50</th><td class=\"tdhistory872657\">47</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">3.800</td><td class=\"tdhistory872657\">1.600</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">51</th><td class=\"tdhistory872657\">129</td><td class=\"tdhistory872657\">6.400</td><td class=\"tdhistory872657\">2.800</td><td class=\"tdhistory872657\">5.600</td><td class=\"tdhistory872657\">2.100</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">52</th><td class=\"tdhistory872657\">87</td><td class=\"tdhistory872657\">6.700</td><td class=\"tdhistory872657\">3.100</td><td class=\"tdhistory872657\">4.700</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">53</th><td class=\"tdhistory872657\">108</td><td class=\"tdhistory872657\">7.300</td><td class=\"tdhistory872657\">2.900</td><td class=\"tdhistory872657\">6.300</td><td class=\"tdhistory872657\">1.800</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">54</th><td class=\"tdhistory872657\">66</td><td class=\"tdhistory872657\">6.700</td><td class=\"tdhistory872657\">3.100</td><td class=\"tdhistory872657\">4.400</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">55</th><td class=\"tdhistory872657\">26</td><td class=\"tdhistory872657\">5.000</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">1.600</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">56</th><td class=\"tdhistory872657\">45</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">3.800</td><td class=\"tdhistory872657\">1.900</td><td class=\"tdhistory872657\">.400</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">57</th><td class=\"tdhistory872657\">148</td><td class=\"tdhistory872657\">6.500</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">5.200</td><td class=\"tdhistory872657\">2.000</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">58</th><td class=\"tdhistory872657\">106</td><td class=\"tdhistory872657\">7.600</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">6.600</td><td class=\"tdhistory872657\">2.100</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">59</th><td class=\"tdhistory872657\">5</td><td class=\"tdhistory872657\">5.000</td><td class=\"tdhistory872657\">3.600</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">60</th><td class=\"tdhistory872657\">85</td><td class=\"tdhistory872657\">5.400</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">4.500</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">61</th><td class=\"tdhistory872657\">127</td><td class=\"tdhistory872657\">6.200</td><td class=\"tdhistory872657\">2.800</td><td class=\"tdhistory872657\">4.800</td><td class=\"tdhistory872657\">1.800</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">62</th><td class=\"tdhistory872657\">64</td><td class=\"tdhistory872657\">6.100</td><td class=\"tdhistory872657\">2.900</td><td class=\"tdhistory872657\">4.700</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">63</th><td class=\"tdhistory872657\">24</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">3.300</td><td class=\"tdhistory872657\">1.700</td><td class=\"tdhistory872657\">.500</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">64</th><td class=\"tdhistory872657\">125</td><td class=\"tdhistory872657\">6.700</td><td class=\"tdhistory872657\">3.300</td><td class=\"tdhistory872657\">5.700</td><td class=\"tdhistory872657\">2.100</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">65</th><td class=\"tdhistory872657\">146</td><td class=\"tdhistory872657\">6.700</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">5.200</td><td class=\"tdhistory872657\">2.300</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">66</th><td class=\"tdhistory872657\">104</td><td class=\"tdhistory872657\">6.300</td><td class=\"tdhistory872657\">2.900</td><td class=\"tdhistory872657\">5.600</td><td class=\"tdhistory872657\">1.800</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">67</th><td class=\"tdhistory872657\">3</td><td class=\"tdhistory872657\">4.700</td><td class=\"tdhistory872657\">3.200</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">68</th><td class=\"tdhistory872657\">83</td><td class=\"tdhistory872657\">5.800</td><td class=\"tdhistory872657\">2.700</td><td class=\"tdhistory872657\">3.900</td><td class=\"tdhistory872657\">1.200</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">69</th><td class=\"tdhistory872657\">43</td><td class=\"tdhistory872657\">4.400</td><td class=\"tdhistory872657\">3.200</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">70</th><td class=\"tdhistory872657\">123</td><td class=\"tdhistory872657\">7.700</td><td class=\"tdhistory872657\">2.800</td><td class=\"tdhistory872657\">6.700</td><td class=\"tdhistory872657\">2.000</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">71</th><td class=\"tdhistory872657\">22</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">3.700</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">.400</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">72</th><td class=\"tdhistory872657\">102</td><td class=\"tdhistory872657\">5.800</td><td class=\"tdhistory872657\">2.700</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">1.900</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">73</th><td class=\"tdhistory872657\">144</td><td class=\"tdhistory872657\">6.800</td><td class=\"tdhistory872657\">3.200</td><td class=\"tdhistory872657\">5.900</td><td class=\"tdhistory872657\">2.300</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">74</th><td class=\"tdhistory872657\">81</td><td class=\"tdhistory872657\">5.500</td><td class=\"tdhistory872657\">2.400</td><td class=\"tdhistory872657\">3.800</td><td class=\"tdhistory872657\">1.100</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">75</th><td class=\"tdhistory872657\">1</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">3.500</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">76</th><td class=\"tdhistory872657\">142</td><td class=\"tdhistory872657\">6.900</td><td class=\"tdhistory872657\">3.100</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">2.300</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">77</th><td class=\"tdhistory872657\">62</td><td class=\"tdhistory872657\">5.900</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">4.200</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">78</th><td class=\"tdhistory872657\">121</td><td class=\"tdhistory872657\">6.900</td><td class=\"tdhistory872657\">3.200</td><td class=\"tdhistory872657\">5.700</td><td class=\"tdhistory872657\">2.300</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">79</th><td class=\"tdhistory872657\">41</td><td class=\"tdhistory872657\">5.000</td><td class=\"tdhistory872657\">3.500</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">.300</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">80</th><td class=\"tdhistory872657\">100</td><td class=\"tdhistory872657\">5.700</td><td class=\"tdhistory872657\">2.800</td><td class=\"tdhistory872657\">4.100</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">81</th><td class=\"tdhistory872657\">20</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">3.800</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">.300</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">82</th><td class=\"tdhistory872657\">140</td><td class=\"tdhistory872657\">6.900</td><td class=\"tdhistory872657\">3.100</td><td class=\"tdhistory872657\">5.400</td><td class=\"tdhistory872657\">2.100</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">83</th><td class=\"tdhistory872657\">60</td><td class=\"tdhistory872657\">5.200</td><td class=\"tdhistory872657\">2.700</td><td class=\"tdhistory872657\">3.900</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">84</th><td class=\"tdhistory872657\">119</td><td class=\"tdhistory872657\">7.700</td><td class=\"tdhistory872657\">2.600</td><td class=\"tdhistory872657\">6.900</td><td class=\"tdhistory872657\">2.300</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">85</th><td class=\"tdhistory872657\">39</td><td class=\"tdhistory872657\">4.400</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">86</th><td class=\"tdhistory872657\">16</td><td class=\"tdhistory872657\">5.700</td><td class=\"tdhistory872657\">4.400</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">.400</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">87</th><td class=\"tdhistory872657\">18</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">3.500</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">.300</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">88</th><td class=\"tdhistory872657\">138</td><td class=\"tdhistory872657\">6.400</td><td class=\"tdhistory872657\">3.100</td><td class=\"tdhistory872657\">5.500</td><td class=\"tdhistory872657\">1.800</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">89</th><td class=\"tdhistory872657\">79</td><td class=\"tdhistory872657\">6.000</td><td class=\"tdhistory872657\">2.900</td><td class=\"tdhistory872657\">4.500</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">90</th><td class=\"tdhistory872657\">117</td><td class=\"tdhistory872657\">6.500</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">5.500</td><td class=\"tdhistory872657\">1.800</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">91</th><td class=\"tdhistory872657\">58</td><td class=\"tdhistory872657\">4.900</td><td class=\"tdhistory872657\">2.400</td><td class=\"tdhistory872657\">3.300</td><td class=\"tdhistory872657\">1.000</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">92</th><td class=\"tdhistory872657\">35</td><td class=\"tdhistory872657\">4.900</td><td class=\"tdhistory872657\">3.100</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">93</th><td class=\"tdhistory872657\">37</td><td class=\"tdhistory872657\">5.500</td><td class=\"tdhistory872657\">3.500</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">94</th><td class=\"tdhistory872657\">14</td><td class=\"tdhistory872657\">4.300</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">1.100</td><td class=\"tdhistory872657\">.100</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">95</th><td class=\"tdhistory872657\">98</td><td class=\"tdhistory872657\">6.200</td><td class=\"tdhistory872657\">2.900</td><td class=\"tdhistory872657\">4.300</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">96</th><td class=\"tdhistory872657\">136</td><td class=\"tdhistory872657\">7.700</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">6.100</td><td class=\"tdhistory872657\">2.300</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">97</th><td class=\"tdhistory872657\">77</td><td class=\"tdhistory872657\">6.800</td><td class=\"tdhistory872657\">2.800</td><td class=\"tdhistory872657\">4.800</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">98</th><td class=\"tdhistory872657\">33</td><td class=\"tdhistory872657\">5.200</td><td class=\"tdhistory872657\">4.100</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">.100</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">99</th><td class=\"tdhistory872657\">56</td><td class=\"tdhistory872657\">5.700</td><td class=\"tdhistory872657\">2.800</td><td class=\"tdhistory872657\">4.500</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">100</th><td class=\"tdhistory872657\">12</td><td class=\"tdhistory872657\">4.800</td><td class=\"tdhistory872657\">3.400</td><td class=\"tdhistory872657\">1.600</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">101</th><td class=\"tdhistory872657\">96</td><td class=\"tdhistory872657\">5.700</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">4.200</td><td class=\"tdhistory872657\">1.200</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">102</th><td class=\"tdhistory872657\">52</td><td class=\"tdhistory872657\">6.400</td><td class=\"tdhistory872657\">3.200</td><td class=\"tdhistory872657\">4.500</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">103</th><td class=\"tdhistory872657\">75</td><td class=\"tdhistory872657\">6.400</td><td class=\"tdhistory872657\">2.900</td><td class=\"tdhistory872657\">4.300</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">104</th><td class=\"tdhistory872657\">31</td><td class=\"tdhistory872657\">4.800</td><td class=\"tdhistory872657\">3.100</td><td class=\"tdhistory872657\">1.600</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">105</th><td class=\"tdhistory872657\">54</td><td class=\"tdhistory872657\">5.500</td><td class=\"tdhistory872657\">2.300</td><td class=\"tdhistory872657\">4.000</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">106</th><td class=\"tdhistory872657\">10</td><td class=\"tdhistory872657\">4.900</td><td class=\"tdhistory872657\">3.100</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">.100</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">107</th><td class=\"tdhistory872657\">115</td><td class=\"tdhistory872657\">5.800</td><td class=\"tdhistory872657\">2.800</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">2.400</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">108</th><td class=\"tdhistory872657\">71</td><td class=\"tdhistory872657\">5.900</td><td class=\"tdhistory872657\">3.200</td><td class=\"tdhistory872657\">4.800</td><td class=\"tdhistory872657\">1.800</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">109</th><td class=\"tdhistory872657\">94</td><td class=\"tdhistory872657\">5.000</td><td class=\"tdhistory872657\">2.300</td><td class=\"tdhistory872657\">3.300</td><td class=\"tdhistory872657\">1.000</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">110</th><td class=\"tdhistory872657\">50</td><td class=\"tdhistory872657\">5.000</td><td class=\"tdhistory872657\">3.300</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">111</th><td class=\"tdhistory872657\">73</td><td class=\"tdhistory872657\">6.300</td><td class=\"tdhistory872657\">2.500</td><td class=\"tdhistory872657\">4.900</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">112</th><td class=\"tdhistory872657\">29</td><td class=\"tdhistory872657\">5.200</td><td class=\"tdhistory872657\">3.400</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">113</th><td class=\"tdhistory872657\">134</td><td class=\"tdhistory872657\">6.300</td><td class=\"tdhistory872657\">2.800</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">114</th><td class=\"tdhistory872657\">69</td><td class=\"tdhistory872657\">6.200</td><td class=\"tdhistory872657\">2.200</td><td class=\"tdhistory872657\">4.500</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">115</th><td class=\"tdhistory872657\">113</td><td class=\"tdhistory872657\">6.800</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">5.500</td><td class=\"tdhistory872657\">2.100</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">116</th><td class=\"tdhistory872657\">48</td><td class=\"tdhistory872657\">4.600</td><td class=\"tdhistory872657\">3.200</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">117</th><td class=\"tdhistory872657\">92</td><td class=\"tdhistory872657\">6.100</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">4.600</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">118</th><td class=\"tdhistory872657\">27</td><td class=\"tdhistory872657\">5.000</td><td class=\"tdhistory872657\">3.400</td><td class=\"tdhistory872657\">1.600</td><td class=\"tdhistory872657\">.400</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">119</th><td class=\"tdhistory872657\">132</td><td class=\"tdhistory872657\">7.900</td><td class=\"tdhistory872657\">3.800</td><td class=\"tdhistory872657\">6.400</td><td class=\"tdhistory872657\">2.000</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">120</th><td class=\"tdhistory872657\">88</td><td class=\"tdhistory872657\">6.300</td><td class=\"tdhistory872657\">2.300</td><td class=\"tdhistory872657\">4.400</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">121</th><td class=\"tdhistory872657\">111</td><td class=\"tdhistory872657\">6.500</td><td class=\"tdhistory872657\">3.200</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">2.000</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">122</th><td class=\"tdhistory872657\">67</td><td class=\"tdhistory872657\">5.600</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">4.500</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">123</th><td class=\"tdhistory872657\">90</td><td class=\"tdhistory872657\">5.500</td><td class=\"tdhistory872657\">2.500</td><td class=\"tdhistory872657\">4.000</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">124</th><td class=\"tdhistory872657\">46</td><td class=\"tdhistory872657\">4.800</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">.300</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">125</th><td class=\"tdhistory872657\">8</td><td class=\"tdhistory872657\">5.000</td><td class=\"tdhistory872657\">3.400</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">126</th><td class=\"tdhistory872657\">107</td><td class=\"tdhistory872657\">4.900</td><td class=\"tdhistory872657\">2.500</td><td class=\"tdhistory872657\">4.500</td><td class=\"tdhistory872657\">1.700</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">127</th><td class=\"tdhistory872657\">130</td><td class=\"tdhistory872657\">7.200</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">5.800</td><td class=\"tdhistory872657\">1.600</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">128</th><td class=\"tdhistory872657\">86</td><td class=\"tdhistory872657\">6.000</td><td class=\"tdhistory872657\">3.400</td><td class=\"tdhistory872657\">4.500</td><td class=\"tdhistory872657\">1.600</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">129</th><td class=\"tdhistory872657\">109</td><td class=\"tdhistory872657\">6.700</td><td class=\"tdhistory872657\">2.500</td><td class=\"tdhistory872657\">5.800</td><td class=\"tdhistory872657\">1.800</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">130</th><td class=\"tdhistory872657\">65</td><td class=\"tdhistory872657\">5.600</td><td class=\"tdhistory872657\">2.900</td><td class=\"tdhistory872657\">3.600</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">131</th><td class=\"tdhistory872657\">149</td><td class=\"tdhistory872657\">6.200</td><td class=\"tdhistory872657\">3.400</td><td class=\"tdhistory872657\">5.400</td><td class=\"tdhistory872657\">2.300</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">132</th><td class=\"tdhistory872657\">105</td><td class=\"tdhistory872657\">6.500</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">5.800</td><td class=\"tdhistory872657\">2.200</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">133</th><td class=\"tdhistory872657\">6</td><td class=\"tdhistory872657\">5.400</td><td class=\"tdhistory872657\">3.900</td><td class=\"tdhistory872657\">1.700</td><td class=\"tdhistory872657\">.400</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">134</th><td class=\"tdhistory872657\">84</td><td class=\"tdhistory872657\">6.000</td><td class=\"tdhistory872657\">2.700</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">1.600</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">135</th><td class=\"tdhistory872657\">128</td><td class=\"tdhistory872657\">6.100</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">4.900</td><td class=\"tdhistory872657\">1.800</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">136</th><td class=\"tdhistory872657\">63</td><td class=\"tdhistory872657\">6.000</td><td class=\"tdhistory872657\">2.200</td><td class=\"tdhistory872657\">4.000</td><td class=\"tdhistory872657\">1.000</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">137</th><td class=\"tdhistory872657\">25</td><td class=\"tdhistory872657\">4.800</td><td class=\"tdhistory872657\">3.400</td><td class=\"tdhistory872657\">1.900</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">138</th><td class=\"tdhistory872657\">124</td><td class=\"tdhistory872657\">6.300</td><td class=\"tdhistory872657\">2.700</td><td class=\"tdhistory872657\">4.900</td><td class=\"tdhistory872657\">1.800</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">139</th><td class=\"tdhistory872657\">147</td><td class=\"tdhistory872657\">6.300</td><td class=\"tdhistory872657\">2.500</td><td class=\"tdhistory872657\">5.000</td><td class=\"tdhistory872657\">1.900</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">140</th><td class=\"tdhistory872657\">103</td><td class=\"tdhistory872657\">7.100</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">5.900</td><td class=\"tdhistory872657\">2.100</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">141</th><td class=\"tdhistory872657\">4</td><td class=\"tdhistory872657\">4.600</td><td class=\"tdhistory872657\">3.100</td><td class=\"tdhistory872657\">1.500</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">142</th><td class=\"tdhistory872657\">82</td><td class=\"tdhistory872657\">5.500</td><td class=\"tdhistory872657\">2.400</td><td class=\"tdhistory872657\">3.700</td><td class=\"tdhistory872657\">1.000</td><td class=\"tdhistory872657\">Versicolor</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">143</th><td class=\"tdhistory872657\">126</td><td class=\"tdhistory872657\">7.200</td><td class=\"tdhistory872657\">3.200</td><td class=\"tdhistory872657\">6.000</td><td class=\"tdhistory872657\">1.800</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">144</th><td class=\"tdhistory872657\">143</td><td class=\"tdhistory872657\">5.800</td><td class=\"tdhistory872657\">2.700</td><td class=\"tdhistory872657\">5.100</td><td class=\"tdhistory872657\">1.900</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">145</th><td class=\"tdhistory872657\">44</td><td class=\"tdhistory872657\">5.000</td><td class=\"tdhistory872657\">3.500</td><td class=\"tdhistory872657\">1.600</td><td class=\"tdhistory872657\">.600</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">146</th><td class=\"tdhistory872657\">23</td><td class=\"tdhistory872657\">4.600</td><td class=\"tdhistory872657\">3.600</td><td class=\"tdhistory872657\">1.000</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">147</th><td class=\"tdhistory872657\">145</td><td class=\"tdhistory872657\">6.700</td><td class=\"tdhistory872657\">3.300</td><td class=\"tdhistory872657\">5.700</td><td class=\"tdhistory872657\">2.500</td><td class=\"tdhistory872657\">Virginica</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">148</th><td class=\"tdhistory872657\">2</td><td class=\"tdhistory872657\">4.900</td><td class=\"tdhistory872657\">3.000</td><td class=\"tdhistory872657\">1.400</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">149</th><td class=\"tdhistory872657\">42</td><td class=\"tdhistory872657\">4.500</td><td class=\"tdhistory872657\">2.300</td><td class=\"tdhistory872657\">1.300</td><td class=\"tdhistory872657\">.300</td><td class=\"tdhistory872657\">Setosa</td></tr><tr><th class=\"tdhistory872657\" style= \"background: rgba(243, 243, 243, 0.75)\">150</th><td class=\"tdhistory872657\">21</td><td class=\"tdhistory872657\">5.400</td><td class=\"tdhistory872657\">3.400</td><td class=\"tdhistory872657\">1.700</td><td class=\"tdhistory872657\">.200</td><td class=\"tdhistory872657\">Setosa</td></tr></tbody></table></div>"
]
},
"execution_count": 24,
"metadata": {
"application/vnd.teradata.resultset": "{\"resultSetID\":\"C:\\\\\\\\Users\\\\\\\\yourusername\\\\\\\\Teradata\\\\\\\\Resultsets\\\\\\\\2023.09.04_22.43.14.986_JST\",\"historyID\":22,\"chunkID\":\"00001\",\"sessionid\":\"\",\"portnum\":\"\",\"dockermode\":\"standalone\",\"totalRowCount\":150,\"chunkCount\":0,\"rowLimit\":0,\"columnMetadata\":[{\"columnName\":\"番号\",\"columnTypeName\":\"INTEGER\"},{\"columnNumber\":1,\"columnName\":\"変数1\",\"columnTypeName\":\"DECIMAL\",\"length\":3,\"precision\":5,\"scale\":3},{\"columnNumber\":2,\"columnName\":\"変数2\",\"columnTypeName\":\"DECIMAL\",\"length\":3,\"precision\":5,\"scale\":3},{\"columnNumber\":3,\"columnName\":\"変数3\",\"columnTypeName\":\"DECIMAL\",\"length\":3,\"precision\":5,\"scale\":3},{\"columnNumber\":4,\"columnName\":\"変数4\",\"columnTypeName\":\"DECIMAL\",\"length\":3,\"precision\":5,\"scale\":3},{\"columnNumber\":5,\"columnName\":\"種別\",\"columnTypeName\":\"VARCHAR\",\"length\":10,\"scale\":10}]}"
},
"output_type": "execute_result"
}
],
"source": [
"select * from jumbo.iriso"
]
},
{
"cell_type": "markdown",
"id": "81e04a23-dc42-44a8-835e-b3db66e4d657",
"metadata": {},
"source": [
"#### 実行履歴の確認"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "57772dc8-9fc5-4fee-b247-dc63c6ab82dc",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.teradata.resultset": "\"22\",\"<2023.09.04_22.43.14.986_JST>\",\"jumbo\",\"150\",\"00:00:00.074\",\"Success\",\"select * from jumbo.iriso\"\n\"21\",\" 2023-09-04_22:42:48.258_JST \",\"jumbo\",\"150\",\"00:00:00.099\",\"Success\",\"%dataload DATABASE=jumbo, TABLE=iriso, BLOCKSIZE=5000, AUTOCOMMIT=false, FILEPATH=C:\\Users\\yourusername\\dat\\iris.csv\"\n\"20\",\" 2023-09-04_22:42:45.740_JST \",\"jumbo\",\"0\",\"00:00:00.065\",\"Success\",\"create table jumbo.iriso ( \n番号 integer, \n変数1 decimal(5,3), \n変数2 decimal(5,3), \n変数3 decimal(5,3), \n変数4 decimal(5,3), \n種別 varchar(10) character set unicode \n) primary index(番号) \n; \"\n\"19\",\" 2023-09-04_22:42:42.541_JST \",\"jumbo\",\"0\",\"00:00:00.096\",\"Success\",\"drop table jumbo.iriso\"\n\"18\",\" 2023-09-04_22:42:12.509_JST \",\"jumbo\",\"0\",\"00:00:00.069\",\"Failed\",\"%dataload DATABASE=jumbo, TABLE=iriso, BLOCKSIZE=5000, AUTOCOMMIT=false, FILEPATH=C:\\Users\\yourusername\\dat\\iris.csv\"\n\"17\",\" 2023-09-04_22:40:09.915_JST \",\"jumbo\",\"0\",\"00:00:00.096\",\"Success\",\"create table jumbo.iriso ( \n番号 integer, \n変数1 decimal(5,3), \n変数2 decimal(5,3), \n変数3 decimal(5,3), \n変数4 decimal(5,3), \n種別 integer \n) primary index(番号) \n; \"\n\"16\",\" 2023-09-04_22:26:27.478_JST \",\"jumbo\",\"0\",\"00:00:00.029\",\"Failed\",\"select * from jumbo.テスト\"\n\"15\",\" 2023-09-04_22:25:55.089_JST \",\"jumbo\",\"0\",\"00:00:00.102\",\"Success\",\"drop table jumbo.テスト\"\n\"14\",\" 2023-09-04_22:25:41.397_JST \",\"jumbo\",\"0\",\"00:00:00.030\",\"Failed\",\"#### Drop文の実行\"\n\"13\",\"<2023.09.04_22.25.27.715_JST>\",\"jumbo\",\"1\",\"00:00:00.104\",\"Success\",\"select * from jumbo.テスト\"\n\"12\",\" 2023-09-04_22:25:03.506_JST \",\"jumbo\",\"0\",\"00:00:00.066\",\"Success\",\"delete from jumbo.テスト where 整数=1\"\n\"11\",\"<2023.09.04_22.24.21.869_JST>\",\"jumbo\",\"2\",\"00:00:00.081\",\"Success\",\"select * from jumbo.テスト\"\n\"10\",\" 2023-09-04_22:24:00.805_JST \",\"jumbo\",\"0\",\"00:00:00.030\",\"Success\",\"update jumbo.テスト set 文字列='あいうえおabc' where 整数=1\"\n\"9\",\"<2023.09.04_22.22.18.708_JST>\",\"jumbo\",\"2\",\"00:00:00.125\",\"Success\",\"select * from jumbo.テスト\"\n\"8\",\" 2023-09-04_22:21:54.287_JST \",\"jumbo\",\"0\",\"00:00:00.067\",\"Success\",\"insert into jumbo.テスト values (1,'文字列サンプル1',1.1);\ninsert into jumbo.テスト values (2,'文字列サンプル2',1.2);\"\n\"7\",\"<2023.09.04_22.20.58.169_JST>\",\"jumbo\",\"3\",\"00:00:00.062\",\"Success\",\"select * from dbc.dbcinfo\"\n\"6\",\" 2023-09-04_22:20:11.419_JST \",\"jumbo\",\"0\",\"00:00:00.120\",\"Success\",\"create table jumbo.テスト ( \n整数 integer, \n文字列 character varying(10) character set unicode, \n数値 float \n) primary index(整数)\"\n\"5\",\"<2023.09.04_22.17.42.633_JST>\",\"jumbo\",\"10\",\"00:00:00.062\",\"Success\",\"select top 10 * from jumbo.iris\"\n\"4\",\"<2023.09.04_22.17.31.901_JST>\",\"jumbo\",\"150\",\"00:00:00.068\",\"Success\",\"select * from jumbo.iris\"\n\"3\",\"<2023.09.03_22.47.12.969_JST>\",\"jumbo\",\"150\",\"00:00:00.096\",\"Success\",\"select * from jumbo.iris\"",
"text/html": [
"<div class = \"td-resultset-table-div\" style = \"max-height: 100%; overflow-y: auto\">\n",
" <table class=\"tdhistory86957\"><style>\n",
" table.tdhistory86957 { display: block !important; min-height: 504px !important; overflow: auto !important; height: 504px !important; width: 100% !important; border: 1px solid rgb(207, 207, 207) !important; border-collapse: collapse !important; ; color: var(--jp-ui-font-color1) !important; }\n",
" th.tdhistory86957 { border: 1px solid rgb(198,198,198) !important; border-collapse: collapse !important; ; padding: 2px 5px !important; ; font-size: 13px !important; ; text-align: center !important; white-space: normal !important; color: var(--jp-ui-font-color1) !important; }\n",
" th.tdhistory86957:last-child { text-align: left !important; }\n",
" tbody.tdhistory86957 tr:nth-child(even) { background: rgba(243, 243, 243, 0.75) !important; }\n",
" tbody.tdhistory86957 tr:nth-child(odd) { background: var(--jp-ui-inverse-font-color1) !important; }\n",
" td.tdhistory86957 { border: 1px solid rgb(207, 207, 207) !important; border-collapse: collapse !important; ; padding: 2px 5px !important; ; font-size: 13px !important; ; text-align: left !important; white-space: nowrap !important; overflow:hidden !important; text-overflow:ellipsis !important;; }\n",
" </style><thead><tr style= \"background: rgba(243, 243, 243, 0.75)\"><th class=\"tdhistory86957\">History ID</th><th class=\"tdhistory86957\">Execute Time / &lt;ResultsetID&gt;</th><th class=\"tdhistory86957\">Connection Name</th><th class=\"tdhistory86957\">Row Count</th><th class=\"tdhistory86957\">Elapsed Time</th><th class=\"tdhistory86957\">Status</th><th class=\"tdhistory86957\">Command</th></tr></thead><tbody class=\"tdhistory86957 resultset-body\"><tr><td class=\"tdhistory86957\">22</td><td class=\"tdhistory86957\"><2023.09.04_22.43.14.986_JST></td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">150</td><td class=\"tdhistory86957\">00:00:00.074</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">select * from jumbo.iriso</td></tr><tr><td class=\"tdhistory86957\">21</td><td class=\"tdhistory86957\"> 2023-09-04_22:42:48.258_JST </td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">150</td><td class=\"tdhistory86957\">00:00:00.099</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">%dataload DATABASE=jumbo, TABLE=iriso, BLOCKSIZE=5000, AUTOCOMMIT=false, FILEPATH=C:\\Users\\yourusername\\dat\\iris.csv</td></tr><tr><td class=\"tdhistory86957\">20</td><td class=\"tdhistory86957\"> 2023-09-04_22:42:45.740_JST </td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">0</td><td class=\"tdhistory86957\">00:00:00.065</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">create table jumbo.iriso ( \n",
"番号 integer, \n",
"変数1 decimal(5,3), \n",
"変数2 decimal(5,3), \n",
"変数3 decimal(5,3), \n",
"変数4 decimal(5,3), \n",
"種別 varchar(10) character set unicode \n",
") primary index(番号) \n",
"; </td></tr><tr><td class=\"tdhistory86957\">19</td><td class=\"tdhistory86957\"> 2023-09-04_22:42:42.541_JST </td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">0</td><td class=\"tdhistory86957\">00:00:00.096</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">drop table jumbo.iriso</td></tr><tr><td class=\"tdhistory86957\">18</td><td class=\"tdhistory86957\"> 2023-09-04_22:42:12.509_JST </td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">0</td><td class=\"tdhistory86957\">00:00:00.069</td><td class=\"tdhistory86957\">Failed</td><td class=\"tdhistory86957\">%dataload DATABASE=jumbo, TABLE=iriso, BLOCKSIZE=5000, AUTOCOMMIT=false, FILEPATH=C:\\Users\\yourusername\\dat\\iris.csv</td></tr><tr><td class=\"tdhistory86957\">17</td><td class=\"tdhistory86957\"> 2023-09-04_22:40:09.915_JST </td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">0</td><td class=\"tdhistory86957\">00:00:00.096</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">create table jumbo.iriso ( \n",
"番号 integer, \n",
"変数1 decimal(5,3), \n",
"変数2 decimal(5,3), \n",
"変数3 decimal(5,3), \n",
"変数4 decimal(5,3), \n",
"種別 integer \n",
") primary index(番号) \n",
"; </td></tr><tr><td class=\"tdhistory86957\">16</td><td class=\"tdhistory86957\"> 2023-09-04_22:26:27.478_JST </td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">0</td><td class=\"tdhistory86957\">00:00:00.029</td><td class=\"tdhistory86957\">Failed</td><td class=\"tdhistory86957\">select * from jumbo.テスト</td></tr><tr><td class=\"tdhistory86957\">15</td><td class=\"tdhistory86957\"> 2023-09-04_22:25:55.089_JST </td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">0</td><td class=\"tdhistory86957\">00:00:00.102</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">drop table jumbo.テスト</td></tr><tr><td class=\"tdhistory86957\">14</td><td class=\"tdhistory86957\"> 2023-09-04_22:25:41.397_JST </td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">0</td><td class=\"tdhistory86957\">00:00:00.030</td><td class=\"tdhistory86957\">Failed</td><td class=\"tdhistory86957\">#### Drop文の実行</td></tr><tr><td class=\"tdhistory86957\">13</td><td class=\"tdhistory86957\"><2023.09.04_22.25.27.715_JST></td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">1</td><td class=\"tdhistory86957\">00:00:00.104</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">select * from jumbo.テスト</td></tr><tr><td class=\"tdhistory86957\">12</td><td class=\"tdhistory86957\"> 2023-09-04_22:25:03.506_JST </td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">0</td><td class=\"tdhistory86957\">00:00:00.066</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">delete from jumbo.テスト where 整数=1</td></tr><tr><td class=\"tdhistory86957\">11</td><td class=\"tdhistory86957\"><2023.09.04_22.24.21.869_JST></td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">2</td><td class=\"tdhistory86957\">00:00:00.081</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">select * from jumbo.テスト</td></tr><tr><td class=\"tdhistory86957\">10</td><td class=\"tdhistory86957\"> 2023-09-04_22:24:00.805_JST </td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">0</td><td class=\"tdhistory86957\">00:00:00.030</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">update jumbo.テスト set 文字列='あいうえおabc' where 整数=1</td></tr><tr><td class=\"tdhistory86957\">9</td><td class=\"tdhistory86957\"><2023.09.04_22.22.18.708_JST></td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">2</td><td class=\"tdhistory86957\">00:00:00.125</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">select * from jumbo.テスト</td></tr><tr><td class=\"tdhistory86957\">8</td><td class=\"tdhistory86957\"> 2023-09-04_22:21:54.287_JST </td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">0</td><td class=\"tdhistory86957\">00:00:00.067</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">insert into jumbo.テスト values (1,'文字列サンプル1',1.1);\n",
"insert into jumbo.テスト values (2,'文字列サンプル2',1.2);</td></tr><tr><td class=\"tdhistory86957\">7</td><td class=\"tdhistory86957\"><2023.09.04_22.20.58.169_JST></td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">3</td><td class=\"tdhistory86957\">00:00:00.062</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">select * from dbc.dbcinfo</td></tr><tr><td class=\"tdhistory86957\">6</td><td class=\"tdhistory86957\"> 2023-09-04_22:20:11.419_JST </td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">0</td><td class=\"tdhistory86957\">00:00:00.120</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">create table jumbo.テスト ( \n",
"整数 integer, \n",
"文字列 character varying(10) character set unicode, \n",
"数値 float \n",
") primary index(整数)</td></tr><tr><td class=\"tdhistory86957\">5</td><td class=\"tdhistory86957\"><2023.09.04_22.17.42.633_JST></td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">10</td><td class=\"tdhistory86957\">00:00:00.062</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">select top 10 * from jumbo.iris</td></tr><tr><td class=\"tdhistory86957\">4</td><td class=\"tdhistory86957\"><2023.09.04_22.17.31.901_JST></td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">150</td><td class=\"tdhistory86957\">00:00:00.068</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">select * from jumbo.iris</td></tr><tr><td class=\"tdhistory86957\">3</td><td class=\"tdhistory86957\"><2023.09.03_22.47.12.969_JST></td><td class=\"tdhistory86957\">jumbo</td><td class=\"tdhistory86957\">150</td><td class=\"tdhistory86957\">00:00:00.096</td><td class=\"tdhistory86957\">Success</td><td class=\"tdhistory86957\">select * from jumbo.iris</td></tr></tbody></table></div>"
]
},
"execution_count": 25,
"metadata": {
"application/vnd.teradata.resultset": "{\"columnMetadata\":[{\"columnName\":\"History ID\",\"columnNumber\":\"0\",\"columnTypeName\":\"string\",\"length\":\"32\"},{\"columnName\":\"Execute Time / \\u0026lt;ResultsetID\\u0026gt;\",\"columnNumber\":\"1\",\"columnTypeName\":\"string\",\"length\":\"32\"},{\"columnName\":\"Connection Name\",\"columnNumber\":\"2\",\"columnTypeName\":\"string\",\"length\":\"100\"},{\"columnName\":\"Row Count\",\"columnNumber\":\"3\",\"columnTypeName\":\"string\",\"length\":\"10\"},{\"columnName\":\"Elapsed Time\",\"columnNumber\":\"4\",\"columnTypeName\":\"string\",\"length\":\"20\"},{\"columnName\":\"Status\",\"columnNumber\":\"5\",\"columnTypeName\":\"string\",\"length\":\"10\"},{\"columnName\":\"Command\",\"columnNumber\":\"6\",\"columnTypeName\":\"string\",\"length\":\"100000\"}],\"historyRequest\":\"true\",\"totalRowCount\":20}"
},
"output_type": "execute_result"
}
],
"source": [
"%history"
]
},
{
"cell_type": "markdown",
"id": "529a26d6-0ac3-4a5c-8242-8d6fc1a7e589",
"metadata": {},
"source": [
"#### History IDを使ってデータを指定し、可視化"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "71b5d3bc-026f-4e33-bd16-4d9cb523e5ae",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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"$schema": "https://vega.github.io/schema/vega-lite/v3.json",
"data": {
"format": {
"type": "csv"
},
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},
"encoding": {
"color": {
"field": "種別",
"type": "nominal"
},
"x": {
"axis": {
"grid": true,
"title": "変数1"
},
"field": "変数1",
"type": "quantitative"
},
"y": {
"axis": {
"grid": true,
"title": "変数2"
},
"field": "変数2",
"type": "quantitative"
}
},
"height": "300",
"mark": {
"color": "#4C78A8",
"type": "circle"
},
"title": "散布図",
"width": "600"
},
"image/png": 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"
},
"execution_count": 26,
"metadata": {
"application/vnd.teradata.resultset": ""
},
"output_type": "execute_result"
}
],
"source": [
"%chart \n",
"id=22,\n",
"width=600, \n",
"height=300, \n",
"x=変数1, \n",
"y=変数2, \n",
"mark=circle, \n",
"groupingcol=種別, \n",
"typegroupingcol=n,\n",
"title=散布図"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "de7d50e7-9584-4d39-80e8-5675a9ef5bf7",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.teradata.resultset": "\"種別\",\"変数1\"\n\"Setosa\",\"5.006\"\n\"Versicolor\",\"5.936\"\n\"Virginica\",\"6.588\"",
"text/html": [
"<div class = \"td-resultset-table-div\" style = \"max-height: 100%; overflow-y: auto\">\n",
" <table class=\"tdhistory784772\"><style>\n",
" table.tdhistory784772 { display: block !important; min-height: 147px !important; overflow: auto !important; height: 147px !important; width: 100% !important; border: 1px solid rgb(207, 207, 207) !important; border-collapse: collapse !important; ; color: var(--jp-ui-font-color1) !important; }\n",
" th.tdhistory784772 { border: 1px solid rgb(198,198,198) !important; border-collapse: collapse !important; ; padding: 2px 5px !important; ; font-size: 13px !important; ; text-align: center !important; white-space: normal !important; color: var(--jp-ui-font-color1) !important; }\n",
" th.tdhistory784772:last-child { text-align: left !important; }\n",
" tbody.tdhistory784772 tr:nth-child(even) { background: rgba(243, 243, 243, 0.75) !important; }\n",
" tbody.tdhistory784772 tr:nth-child(odd) { background: var(--jp-ui-inverse-font-color1) !important; }\n",
" td.tdhistory784772 { border: 1px solid rgb(207, 207, 207) !important; border-collapse: collapse !important; ; padding: 2px 5px !important; ; font-size: 13px !important; ; text-align: left !important; white-space: nowrap !important; overflow:hidden !important; text-overflow:ellipsis !important;; }\n",
" </style><thead><tr style= \"background: rgba(243, 243, 243, 0.75)\"><th class=\"tdhistory784772\"></th><th class=\"tdhistory784772\">種別</th><th class=\"tdhistory784772\">変数1</th></tr></thead><tbody class=\"tdhistory784772 resultset-body\"><tr><th class=\"tdhistory784772\" style= \"background: rgba(243, 243, 243, 0.75)\">1</th><td class=\"tdhistory784772\">Setosa</td><td class=\"tdhistory784772\">5.006</td></tr><tr><th class=\"tdhistory784772\" style= \"background: rgba(243, 243, 243, 0.75)\">2</th><td class=\"tdhistory784772\">Versicolor</td><td class=\"tdhistory784772\">5.936</td></tr><tr><th class=\"tdhistory784772\" style= \"background: rgba(243, 243, 243, 0.75)\">3</th><td class=\"tdhistory784772\">Virginica</td><td class=\"tdhistory784772\">6.588</td></tr></tbody></table></div>"
]
},
"execution_count": 5,
"metadata": {
"application/vnd.teradata.resultset": "{\"resultSetID\":\"C:\\\\\\\\Users\\\\\\\\yourusername\\\\\\\\Teradata\\\\\\\\Resultsets\\\\\\\\2023.09.06_23.29.06.717_JST\",\"historyID\":32,\"chunkID\":\"00001\",\"sessionid\":\"\",\"portnum\":\"\",\"dockermode\":\"standalone\",\"totalRowCount\":3,\"chunkCount\":0,\"rowLimit\":0,\"columnMetadata\":[{\"columnName\":\"種別\",\"columnTypeName\":\"VARCHAR\",\"length\":10,\"scale\":10},{\"columnNumber\":1,\"columnName\":\"変数1\",\"columnTypeName\":\"FLOAT\"}]}"
},
"output_type": "execute_result"
}
],
"source": [
"select \n",
"種別, \n",
"avg(変数1) as 変数1 \n",
"from jumbo.iriso \n",
"group by 1 \n",
"order by 1"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "378dabeb-8507-4e41-8a2f-6ddbd32c7e41",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.vegalite.v3+json": {
"$schema": "https://vega.github.io/schema/vega-lite/v3.json",
"data": {
"format": {
"type": "csv"
},
"values": "\"種別\",\"変数1\"\n\"Setosa\",\"5.006\"\n\"Versicolor\",\"5.936\"\n\"Virginica\",\"6.588\"\n"
},
"encoding": {
"x": {
"axis": {
"grid": true,
"title": "変数1"
},
"field": "変数1",
"type": "quantitative"
},
"y": {
"axis": {
"grid": true,
"title": "種別"
},
"field": "種別",
"type": "nominal"
}
},
"height": "300",
"mark": {
"color": "#ffb6c1",
"type": "bar"
},
"title": "棒グラフ",
"width": "600"
},
"image/png": 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"
},
"execution_count": 6,
"metadata": {
"application/vnd.teradata.resultset": ""
},
"output_type": "execute_result"
}
],
"source": [
"%chart \n",
"id=32,\n",
"width=600, \n",
"height=300, \n",
"y=種別, \n",
"x=変数1, \n",
"mark=bar, \n",
"color=#ffb6c1,\n",
"title=棒グラフ"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "10a5c4e2-5606-4c01-a176-3ad80eabc95d",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.teradata.resultset": "\"番号\",\"変数1\",\"種別\"\n\"1\",\"5.100\",\"Setosa\"\n\"1\",\"6.300\",\"Virginica\"\n\"1\",\"7.000\",\"Versicolor\"\n\"2\",\"4.900\",\"Setosa\"\n\"2\",\"5.800\",\"Virginica\"\n\"2\",\"6.400\",\"Versicolor\"\n\"3\",\"4.700\",\"Setosa\"\n\"3\",\"7.100\",\"Virginica\"\n\"3\",\"6.900\",\"Versicolor\"\n\"4\",\"5.500\",\"Versicolor\"\n\"4\",\"4.600\",\"Setosa\"\n\"4\",\"6.300\",\"Virginica\"\n\"5\",\"6.500\",\"Versicolor\"\n\"5\",\"5.000\",\"Setosa\"\n\"5\",\"6.500\",\"Virginica\"\n\"6\",\"5.700\",\"Versicolor\"\n\"6\",\"5.400\",\"Setosa\"\n\"6\",\"7.600\",\"Virginica\"\n\"7\",\"4.600\",\"Setosa\"\n\"7\",\"6.300\",\"Versicolor\"\n\"7\",\"4.900\",\"Virginica\"\n\"8\",\"5.000\",\"Setosa\"\n\"8\",\"7.300\",\"Virginica\"\n\"8\",\"4.900\",\"Versicolor\"\n\"9\",\"6.700\",\"Virginica\"\n\"9\",\"6.600\",\"Versicolor\"\n\"9\",\"4.400\",\"Setosa\"\n\"10\",\"5.200\",\"Versicolor\"\n\"10\",\"7.200\",\"Virginica\"\n\"10\",\"4.900\",\"Setosa\"",
"text/html": [
"<div class = \"td-resultset-table-div\" style = \"max-height: 100%; overflow-y: auto\">\n",
" <table class=\"tdhistory747531\"><style>\n",
" table.tdhistory747531 { display: block !important; min-height: 588px !important; overflow: auto !important; height: 588px !important; width: 100% !important; border: 1px solid rgb(207, 207, 207) !important; border-collapse: collapse !important; ; color: var(--jp-ui-font-color1) !important; }\n",
" th.tdhistory747531 { border: 1px solid rgb(198,198,198) !important; border-collapse: collapse !important; ; padding: 2px 5px !important; ; font-size: 13px !important; ; text-align: center !important; white-space: normal !important; color: var(--jp-ui-font-color1) !important; }\n",
" th.tdhistory747531:last-child { text-align: left !important; }\n",
" tbody.tdhistory747531 tr:nth-child(even) { background: rgba(243, 243, 243, 0.75) !important; }\n",
" tbody.tdhistory747531 tr:nth-child(odd) { background: var(--jp-ui-inverse-font-color1) !important; }\n",
" td.tdhistory747531 { border: 1px solid rgb(207, 207, 207) !important; border-collapse: collapse !important; ; padding: 2px 5px !important; ; font-size: 13px !important; ; text-align: left !important; white-space: nowrap !important; overflow:hidden !important; text-overflow:ellipsis !important;; }\n",
" </style><thead><tr style= \"background: rgba(243, 243, 243, 0.75)\"><th class=\"tdhistory747531\"></th><th class=\"tdhistory747531\">番号</th><th class=\"tdhistory747531\">変数1</th><th class=\"tdhistory747531\">種別</th></tr></thead><tbody class=\"tdhistory747531 resultset-body\"><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">1</th><td class=\"tdhistory747531\">1</td><td class=\"tdhistory747531\">5.100</td><td class=\"tdhistory747531\">Setosa</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">2</th><td class=\"tdhistory747531\">1</td><td class=\"tdhistory747531\">6.300</td><td class=\"tdhistory747531\">Virginica</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">3</th><td class=\"tdhistory747531\">1</td><td class=\"tdhistory747531\">7.000</td><td class=\"tdhistory747531\">Versicolor</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">4</th><td class=\"tdhistory747531\">2</td><td class=\"tdhistory747531\">4.900</td><td class=\"tdhistory747531\">Setosa</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">5</th><td class=\"tdhistory747531\">2</td><td class=\"tdhistory747531\">5.800</td><td class=\"tdhistory747531\">Virginica</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">6</th><td class=\"tdhistory747531\">2</td><td class=\"tdhistory747531\">6.400</td><td class=\"tdhistory747531\">Versicolor</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">7</th><td class=\"tdhistory747531\">3</td><td class=\"tdhistory747531\">4.700</td><td class=\"tdhistory747531\">Setosa</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">8</th><td class=\"tdhistory747531\">3</td><td class=\"tdhistory747531\">7.100</td><td class=\"tdhistory747531\">Virginica</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">9</th><td class=\"tdhistory747531\">3</td><td class=\"tdhistory747531\">6.900</td><td class=\"tdhistory747531\">Versicolor</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">10</th><td class=\"tdhistory747531\">4</td><td class=\"tdhistory747531\">5.500</td><td class=\"tdhistory747531\">Versicolor</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">11</th><td class=\"tdhistory747531\">4</td><td class=\"tdhistory747531\">4.600</td><td class=\"tdhistory747531\">Setosa</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">12</th><td class=\"tdhistory747531\">4</td><td class=\"tdhistory747531\">6.300</td><td class=\"tdhistory747531\">Virginica</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">13</th><td class=\"tdhistory747531\">5</td><td class=\"tdhistory747531\">6.500</td><td class=\"tdhistory747531\">Versicolor</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">14</th><td class=\"tdhistory747531\">5</td><td class=\"tdhistory747531\">5.000</td><td class=\"tdhistory747531\">Setosa</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">15</th><td class=\"tdhistory747531\">5</td><td class=\"tdhistory747531\">6.500</td><td class=\"tdhistory747531\">Virginica</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">16</th><td class=\"tdhistory747531\">6</td><td class=\"tdhistory747531\">5.700</td><td class=\"tdhistory747531\">Versicolor</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">17</th><td class=\"tdhistory747531\">6</td><td class=\"tdhistory747531\">5.400</td><td class=\"tdhistory747531\">Setosa</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">18</th><td class=\"tdhistory747531\">6</td><td class=\"tdhistory747531\">7.600</td><td class=\"tdhistory747531\">Virginica</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">19</th><td class=\"tdhistory747531\">7</td><td class=\"tdhistory747531\">4.600</td><td class=\"tdhistory747531\">Setosa</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">20</th><td class=\"tdhistory747531\">7</td><td class=\"tdhistory747531\">6.300</td><td class=\"tdhistory747531\">Versicolor</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">21</th><td class=\"tdhistory747531\">7</td><td class=\"tdhistory747531\">4.900</td><td class=\"tdhistory747531\">Virginica</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">22</th><td class=\"tdhistory747531\">8</td><td class=\"tdhistory747531\">5.000</td><td class=\"tdhistory747531\">Setosa</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">23</th><td class=\"tdhistory747531\">8</td><td class=\"tdhistory747531\">7.300</td><td class=\"tdhistory747531\">Virginica</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">24</th><td class=\"tdhistory747531\">8</td><td class=\"tdhistory747531\">4.900</td><td class=\"tdhistory747531\">Versicolor</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">25</th><td class=\"tdhistory747531\">9</td><td class=\"tdhistory747531\">6.700</td><td class=\"tdhistory747531\">Virginica</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">26</th><td class=\"tdhistory747531\">9</td><td class=\"tdhistory747531\">6.600</td><td class=\"tdhistory747531\">Versicolor</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">27</th><td class=\"tdhistory747531\">9</td><td class=\"tdhistory747531\">4.400</td><td class=\"tdhistory747531\">Setosa</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">28</th><td class=\"tdhistory747531\">10</td><td class=\"tdhistory747531\">5.200</td><td class=\"tdhistory747531\">Versicolor</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">29</th><td class=\"tdhistory747531\">10</td><td class=\"tdhistory747531\">7.200</td><td class=\"tdhistory747531\">Virginica</td></tr><tr><th class=\"tdhistory747531\" style= \"background: rgba(243, 243, 243, 0.75)\">30</th><td class=\"tdhistory747531\">10</td><td class=\"tdhistory747531\">4.900</td><td class=\"tdhistory747531\">Setosa</td></tr></tbody></table></div>"
]
},
"execution_count": 7,
"metadata": {
"application/vnd.teradata.resultset": "{\"resultSetID\":\"C:\\\\\\\\Users\\\\\\\\yourusername\\\\\\\\Teradata\\\\\\\\Resultsets\\\\\\\\2023.09.06_23.29.33.861_JST\",\"historyID\":33,\"chunkID\":\"00001\",\"sessionid\":\"\",\"portnum\":\"\",\"dockermode\":\"standalone\",\"totalRowCount\":30,\"chunkCount\":0,\"rowLimit\":0,\"columnMetadata\":[{\"columnName\":\"番号\",\"columnTypeName\":\"INTEGER\"},{\"columnNumber\":1,\"columnName\":\"変数1\",\"columnTypeName\":\"DECIMAL\",\"length\":3,\"precision\":5,\"scale\":3},{\"columnNumber\":2,\"columnName\":\"種別\",\"columnTypeName\":\"VARCHAR\",\"length\":10,\"scale\":10}]}"
},
"output_type": "execute_result"
}
],
"source": [
"select \n",
"case when 種別='Versicolor' then 番号 -50 when 種別='Virginica' then 番号 -100 else 番号 end as 番号, \n",
"変数1, \n",
"種別 \n",
"from jumbo.iriso \n",
"where (case when 種別='Versicolor' then 番号 -50 when 種別='Virginica' then 番号 -100 else 番号 end) between 1 and 10 \n",
"order by 1"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "3ff0dd41-26e8-4d25-a7c4-9823c198058a",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"application/vnd.vegalite.v3+json": {
"$schema": "https://vega.github.io/schema/vega-lite/v3.json",
"data": {
"format": {
"type": "csv"
},
"values": "\"番号\",\"変数1\",\"種別\"\n\"1\",\"5.100\",\"Setosa\"\n\"1\",\"6.300\",\"Virginica\"\n\"1\",\"7.000\",\"Versicolor\"\n\"2\",\"4.900\",\"Setosa\"\n\"2\",\"5.800\",\"Virginica\"\n\"2\",\"6.400\",\"Versicolor\"\n\"3\",\"4.700\",\"Setosa\"\n\"3\",\"7.100\",\"Virginica\"\n\"3\",\"6.900\",\"Versicolor\"\n\"4\",\"5.500\",\"Versicolor\"\n\"4\",\"4.600\",\"Setosa\"\n\"4\",\"6.300\",\"Virginica\"\n\"5\",\"6.500\",\"Versicolor\"\n\"5\",\"5.000\",\"Setosa\"\n\"5\",\"6.500\",\"Virginica\"\n\"6\",\"5.700\",\"Versicolor\"\n\"6\",\"5.400\",\"Setosa\"\n\"6\",\"7.600\",\"Virginica\"\n\"7\",\"4.600\",\"Setosa\"\n\"7\",\"6.300\",\"Versicolor\"\n\"7\",\"4.900\",\"Virginica\"\n\"8\",\"5.000\",\"Setosa\"\n\"8\",\"7.300\",\"Virginica\"\n\"8\",\"4.900\",\"Versicolor\"\n\"9\",\"6.700\",\"Virginica\"\n\"9\",\"6.600\",\"Versicolor\"\n\"9\",\"4.400\",\"Setosa\"\n\"10\",\"5.200\",\"Versicolor\"\n\"10\",\"7.200\",\"Virginica\"\n\"10\",\"4.900\",\"Setosa\"\n"
},
"encoding": {
"color": {
"field": "種別",
"type": "nominal"
},
"x": {
"axis": {
"grid": true,
"title": "番号"
},
"field": "番号",
"type": "quantitative"
},
"y": {
"axis": {
"grid": true,
"title": "変数1"
},
"field": "変数1",
"type": "quantitative"
}
},
"height": "300",
"mark": {
"color": "#4C78A8",
"type": "line"
},
"title": "折れ線グラフ",
"width": "600"
},
"image/png": 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"
},
"execution_count": 8,
"metadata": {
"application/vnd.teradata.resultset": ""
},
"output_type": "execute_result"
}
],
"source": [
"%chart \n",
"id=33,\n",
"width=600, \n",
"height=300, \n",
"x=番号, \n",
"y=変数1, \n",
"mark=line, \n",
"groupingcol=種別, \n",
"typegroupingcol=n,\n",
"title=折れ線グラフ"
]
},
{
"cell_type": "markdown",
"id": "c712f6b2-4ae1-48f1-be2f-abfc649d303f",
"metadata": {},
"source": [
"#### データロードに関するヘルプ"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "b7d4f33a-2e96-499d-ad26-067364f668fd",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/markdown": [
"#### %dataload\n",
"Load a CSV file into a database table.\n",
"\n",
"%dataload table=&lt;TableName&gt;, filepath=&lt;Path to CSV file&gt; [,database=&lt;DatabaseName&gt;][, batchsize=&lt;Rows per Batch&gt;] [, autocommit=&lt;True&gt;] [, mode=&lt;batch|fast&gt;] [, skiprows=&lt;rows to skip at the start of file&gt;]\n",
"\n",
"* **database** is optional. if not specified, the default database of the current session is used.\n",
"* The **filepath** is relative to the JupyterLab workspace (where JupyterLab was launched).\n",
"* You can specify an absolute file path by starting the path with the OS specific directory notation.\n",
"* **batchsize** specifies the number of rows per batch.\n",
" * Valid values are between 1 and 16383 for batch load. The default value is 5000 for batch load and 100000 for fast load.\n",
"* **autocommit** indicates whether to commit each batch load.\n",
" * The default value is false (only commit when all batches have run). When autocommit is set to false and an error occurs, a rollback is performed.\n",
" * When autocommit is set to true and an error occurs, any rows loaded will NOT be rolled back.\n",
" * Set autocommit to true when a Database error is returned indicating the load has exceeded the maximum number of rowhash locks allowed.\n",
" * autocommit is always turned off for fast load.\n",
"* **mode** specifies whether to use batch load or fast load. Fast load supports quick loading of large amounts of data.\n",
" * It is recommended to use fast load only for large files with at least 100,000 rows.\n",
" * The default mode is batch load for files with less than 100,000 rows. Fast load is used for large files with at least 100,000 rows.\n",
" * The destination table must be empty to use fast load.\n",
" * FastLoad cannot load into a volatile table or global temporary table.\n",
" * Please make sure there is enough space in database before loading data. If you encounter \"No more room in database\" error using fast load, please make more space, drop and recreate the table, and then retry fast load.\n",
" * For more information on fast load, please refer to github.com/Teradata/python-driver#fastload\n",
"* **skiprows** specifies number of rows to skip at start of the CSV file.\n",
"* The maximum number of rows that the **%dataload** magic will load is currently set to 100,000 rows for batch load and 500,000 for fast load. Loading will stop when the maximum is reached.\n",
"* The data must be in the proper format to insert into the columns of your table. Specifically, data types must match and any data constraints must be met. \n",
"No pre-processing of the data file is performed.\n",
"* If an error occurs while attempting to load your data and autocommit is false, the entire load operation will be rolled back. \n",
"* The status of your dataload is stored in the Teradata SQL History."
]
},
"execution_count": 1,
"metadata": {
"application/vnd.teradata.resultset": "helpdata"
},
"output_type": "execute_result"
}
],
"source": [
"%help dataload "
]
},
{
"cell_type": "markdown",
"id": "6b89a7f9-f5e6-4a70-8591-20d41edfb0de",
"metadata": {},
"source": [
"#### グラフ表示に関するヘルプ"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "fb3ad843-3a23-4f90-9d93-b6b01818ad35",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/markdown": [
"#### %chart\n",
"Display a Vega-Lite visualization of a query result set or an existing Vega or VegaLite chart.\n",
"\n",
"%chart x=&lt;XColumnName&gt;, y=&lt;YColumnName&gt;,</br>\n",
"[title=&lt;ChartTitle&gt;,] [id=&lt;ResultSetID&gt;|&lt;HistoryID&gt;,] [part=&lt;PartNum&gt;]</br>\n",
"[labelx=&lt;XLabel&gt;,] [labely=&lt;YLabel&gt;,]</br>\n",
"[gridx=&lt;ttrue|false&gt;,] [gridy=&lt;true|false&gt;,]</br>\n",
"[typex=&lt;q|n|o|t&gt;,] [typey=&lt;q|n|o|t&gt;,]</br>\n",
"[aggregatex=&lt;count|sum|mean|median|min|max|stdev&gt;,] [aggregatey=&lt;count|sum|mean|median|min|max|stdev&gt;,]</br>\n",
"[binx=&lt;true|false&gt;,] [biny=&lt;true|false&gt;,]</br>\n",
"[sortx=&lt;ascending|descending&gt;,] [sorty=&lt;ascending|descending&gt;,]</br>\n",
"[timeunitx=&lt;year|quarter|month|day|week|dayofyear|hours&gt;,] [timeunity=&lt;year|quarter|month|day|week|dayofyear|hours&gt;,]</br>\n",
"[mark=&lt;arc|area|bar|circle|line|point|rect|rule|square|text|tick&gt;,]</br>\n",
"[color=&lt;CSSColorSpec&gt;,] [height=&lt;ChartHeight&gt;,] [width=&lt;ChartWidth&gt;]</br>\n",
"[groupingcol=&lt;ColumnNameOfGroupingField&gt;,] [typegroupingcol=&lt;q|n|o|t&gt;,]</br>\n",
"[sample=&lt;SizeOfRandomSample&gt;,]</br>\n",
"[spec=&lt;ChartSpec&gt;, [data=&lt;ChartData&gt;]]\n",
"\n",
"* **groupingcol** is the name of the column used for grouping for multi series chart or stacked chart.\n",
"* **typex** and **typey** and **typegroupingcol** values: q=quantitative n=nominal o=ordinal t=temporal\n",
" * (defaults based on column type: numeric types -> quantitative, time times -> temporal, other types -> nominal)\n",
"* **&lt;ResultSetID&gt;** is the timestamp/directory name of the result set.\n",
"* **&lt;HistoryID&gt;** is the id of the history item (see **%history** command).\n",
"* If the **id** is not specified, the most recently accessed result set is displayed.\n",
"* **aggregatex** and **aggregatey** values: count, sum, mean, variance, stdev, median, min, max. For a full list, see vega.github.io/vega-lite/docs/aggregate.html#ops\n",
"* **binx** and **biny** set to \"true\" to discretize numeric values into a set of bins.\n",
"* **timeunitx** and **timeunity** discretize times. for a full list of supported values, see vega.github.io/vega-lite/docs/timeunit.html\n",
"* **sample** filters data to a random sample of specified size.\n",
"* The **spec** parameter is used to display an existing chart spec.\n",
"* If **spec** is used, only **data**, **id**, and **part** parameters are supported."
]
},
"execution_count": 2,
"metadata": {
"application/vnd.teradata.resultset": "helpdata"
},
"output_type": "execute_result"
}
],
"source": [
"%help chart"
]
},
{
"cell_type": "markdown",
"id": "ebb59a50-f142-4f3f-bec9-a5b2b82a5308",
"metadata": {},
"source": [
"#### そのほかヘルプ全般"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "0f204028-d492-4e09-8474-65f26fa5a456",
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{
"data": {
"text/markdown": [
"%help **command** - Display detailed help for one magic command (without %).</br>\n",
"%help **all** - Display detailed help for all magic commands.</br>\n",
"%help **snippets** - Display the list of SQL command Snippets.</br>\n",
"%help **rowcount** - Display the current rowcount value.</br>\n",
"%help **currentdb** - Display the current database for the user.</br>\n",
"%help **hidewarnings** - Display the current hide warnings value.</br>\n",
"#### Notation conventions: Items in [] are optional, all others are required. Parameter names are not case sensitive.</br>\n",
"#### Magic Commands:</br>\n",
"**%addconnect** - Add a Teradata Vantage database connection specification.</br>**%connect** - Connect to a Vantage system and/or make the connection active.</br>**%disconnect** - Disconnect from a Vantage system.</br>**%rmconnect** - Remove a connection specification.</br>**%chconnect** - Change a connection specification.</br>**%lsconnect** - List the known connections.</br>**%chart** - Display a Vega-Lite visualization of a query result set or an existing Vega or VegaLite chart.</br>**%table** - Display a previous result set as a table.</br>**%meta** - Display metadata of a previous result set.</br>**%dataload** - Load a CSV file into a database table.</br>**%history** - Display a table or the details of previously executed commands.\n",
"\t\tIf a single history item is specified, the details for that item will be displayed.</br>**%rmhistory** - Remove one or more history items and associated result set(s).</br>**%var** - Define one or more variables for use in SQL statements and magic commands.</br>**%lsvar** - List one or more variables. If no names are provided, list all defined variables.</br>**%rmvar** - Remove one or more defined variables.</br>**%pyinfo** - Display information about the version of Python installed on the Vantage system.</br>**%rinfo** - Display information about the version of R installed on the Vantage system.</br>**%runsto** - Run a Script Table Operator.</br>**%installfile** - Install a file onto the Vantage system.</br>**%rmfile** - Remove a file that has been installed on the Vantage system.</br>**%showfile** - Display the contents of a file that has been installed on the Vantage system.</br>**%loglevel** - Set the logging level for the Teradata SQL kernel.</br>**%lsmagic** - List the supported magic commands.</br>**%quickref** - Display help for magic commands.</br>**%help** - Display help for magic commands.</br>**%savecolumn** - Save a BLOB column data to a file.</br>"
]
},
"execution_count": 3,
"metadata": {
"application/vnd.teradata.resultset": "helpdata"
},
"output_type": "execute_result"
}
],
"source": [
"%help"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a66ce606-8b84-40c3-bd6f-48eed6da3b9a",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Teradata SQL",
"language": "Teradata SQL",
"name": "teradatasql"
},
"language_info": {
"codemirror_mode": "Teradata SQL",
"file_extension": ".tdrs",
"mimetype": "application/vnd.teradata.resultset",
"name": "Teradata SQL",
"nbconvert_exporter": "",
"pygments_lexer": "",
"version": "16.20"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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