Updated the lab slightly
This commit is contained in:
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366dc32233
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lab_04.ipynb
113
lab_04.ipynb
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@ -128,7 +128,7 @@
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"cell_type": "code",
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"execution_count": 151,
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"execution_count": 4,
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"id": "ba09a0f8-27d9-456f-aeff-3980e3362d5b",
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"id": "a29d508a-2d9a-4d62-9ff6-7a0ecfd5eba4",
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"execution_count": 166,
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"execution_count": 6,
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"id": "579d8dda-ca39-48b1-8819-b17651029729",
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"metadata": {},
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"[800 rows x 12 columns]"
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"execution_count": 166,
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"execution_count": 6,
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"cell_type": "code",
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"execution_count": 164,
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"execution_count": 7,
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"id": "c9e5e4ec-b197-450c-ae2d-318006fa0a2f",
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"metadata": {},
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"outputs": [],
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"source": [
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"# YOUR CODE HERE!"
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"# Your code here"
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]
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},
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{
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"execution_count": 173,
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"execution_count": 8,
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"id": "9afca362-9edc-423c-981b-dc42107d5de0",
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"Name: generation, dtype: int64"
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"execution_count": 173,
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"execution_count": 8,
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"output_type": "execute_result"
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"cell_type": "code",
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"execution_count": 168,
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"execution_count": 9,
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"id": "5fe580d0-5939-4152-9f8c-4c32d35a4479",
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"metadata": {},
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"outputs": [
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"dtype: float64"
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"execution_count": 168,
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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"cell_type": "code",
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"execution_count": 169,
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"execution_count": 10,
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"id": "dc69ef53-70cd-4ae0-80e7-c9c8e28de76f",
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"metadata": {},
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"outputs": [
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@ -524,7 +524,7 @@
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"0.08125"
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]
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},
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"execution_count": 169,
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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"cell_type": "code",
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"execution_count": 235,
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"execution_count": 11,
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"id": "8fbcc766-8399-4f93-a6c8-e0607250a72a",
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"metadata": {},
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"outputs": [],
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"source": [
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"# YOUR CODE HERE"
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"# Your code here"
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]
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"cell_type": "code",
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"execution_count": 236,
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"execution_count": 12,
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"id": "b7f910c8-3d40-49ae-b270-678734c04100",
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"metadata": {},
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"outputs": [],
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"source": [
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"# YOUR CODE HERE"
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"# Your code here"
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]
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},
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"cell_type": "code",
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"execution_count": 237,
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"execution_count": 13,
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"id": "f3891188-a85f-4089-8388-d4d81c7438ad",
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"metadata": {},
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"outputs": [],
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"source": [
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"# YOUR CODE HERE"
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"# Your code here"
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]
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},
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@ -612,7 +612,7 @@
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"cell_type": "code",
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"execution_count": 180,
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"execution_count": 14,
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"id": "12c0c6c9-c07b-4183-82f6-5e346c74aac9",
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"metadata": {},
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"outputs": [
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"[65 rows x 12 columns]"
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]
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},
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"execution_count": 180,
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"execution_count": 14,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 181,
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"execution_count": 15,
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"id": "5d089acf-7b76-4f91-8803-42a4a9a11e3e",
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"metadata": {},
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"outputs": [
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@ -893,7 +893,7 @@
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"Name: type, Length: 800, dtype: bool"
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]
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},
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"execution_count": 181,
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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"execution_count": 183,
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"execution_count": 16,
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"id": "510fa0fc-2b38-4725-9bbf-ec57d62792be",
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"metadata": {},
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"outputs": [
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"789 44 46 28 6 False "
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]
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},
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"execution_count": 183,
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"execution_count": 16,
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"metadata": {},
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"output_type": "execute_result"
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}
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"execution_count": 185,
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"execution_count": 17,
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"id": "05d4c5c2-c6b4-4795-9799-c884b15445a1",
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"metadata": {},
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"outputs": [
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"676 95 135 105 5 False "
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]
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},
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"execution_count": 185,
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"execution_count": 17,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"cell_type": "code",
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"execution_count": 195,
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"execution_count": 18,
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"id": "198cb0c6-3f43-43c2-9eee-3939c12ea537",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "code",
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"execution_count": 196,
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"execution_count": 19,
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"id": "8a8c1ad6-4c1e-4996-ab5e-5212dadb1851",
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"metadata": {},
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"outputs": [],
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"execution_count": 194,
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"execution_count": 20,
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"id": "315682ae-7d54-4d78-9a63-d23c83ba1576",
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"metadata": {},
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"outputs": [],
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},
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"cell_type": "code",
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"execution_count": 198,
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"execution_count": 21,
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"id": "069ea0ab-eff6-4985-9f46-db956fe1df91",
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"metadata": {},
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"outputs": [
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"Name: speed, dtype: float64"
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]
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},
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"execution_count": 198,
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"execution_count": 21,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 205,
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"execution_count": 22,
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"id": "5c420c0e-b5d2-49ae-ab98-3305ee076169",
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"metadata": {},
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"outputs": [
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"Dragon 83.312500 112.125000 86.375000"
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]
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},
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"execution_count": 205,
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"execution_count": 22,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 202,
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"execution_count": 23,
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"id": "444a580d-e70c-48a1-bf87-77f98b8c9f85",
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"metadata": {},
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"outputs": [
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"Name: legendary, dtype: float64"
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]
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},
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"execution_count": 202,
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"execution_count": 23,
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"metadata": {},
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"output_type": "execute_result"
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}
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"source": [
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"#### Your turn\n",
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"\n",
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"**1.4.0.** `income` records peoples' annual income, in the following bands. `sleep` records the average hours of sleep someone gets per night. Is there a difference in the average hours of sleep by income level?"
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"**1.4.0.** `income` records peoples' annual income, in the following bands. `sleep` records the average hours of sleep someone gets per night. Is there a difference in the average hours of sleep by income level?\n",
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"\n",
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"| number | annual income, in $1000 | \n",
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"| ------ | ----------- |\n",
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"| 1 | Less than 10 |\n",
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"| 2 | 10-15 |\n",
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"| 3 | 15-20 |\n",
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"| 4 | 20-25 |\n",
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"| 5 | 25-35 |\n",
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"| 6 | 35-50 |\n",
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"| 7 | 50-75 |\n",
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"| 8 | More than 75 |"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 211,
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"execution_count": 24,
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"id": "75c1ac4f-3914-4c0a-a156-2e084002df66",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "code",
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"execution_count": 213,
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"execution_count": 25,
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"id": "d46df8a1-bbc2-45a4-9be1-cee1858cbf21",
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"metadata": {},
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"outputs": [],
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"# YOUR CODE HERE"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 231,
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"id": "08332242-f470-41b2-b542-b29395b3b52e",
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"metadata": {},
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"outputs": [],
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"source": [
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"people[\"education\"] = people[\"education\"].map({\"none_completed\": 1, \"high_school\": 2, \"some_college\": 3, \"college\": 4})"
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]
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},
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{
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"cell_type": "markdown",
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"id": "931d602b-ddf4-4c8b-80e0-f886267cce76",
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},
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{
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"cell_type": "code",
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"execution_count": 238,
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"execution_count": 26,
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"id": "5ce066fe-f81d-4b78-a394-c5c2f4dc9f46",
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"metadata": {},
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"outputs": [
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"<AxesSubplot:>"
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]
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},
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"execution_count": 238,
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"execution_count": 26,
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"metadata": {},
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"output_type": "execute_result"
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},
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},
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"cell_type": "code",
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"execution_count": 240,
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"execution_count": 27,
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"id": "6ac22395-351f-45c3-8ecb-7c7469d2347a",
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"metadata": {},
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"outputs": [
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"<AxesSubplot:xlabel='attack', ylabel='defense'>"
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]
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},
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"execution_count": 240,
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"execution_count": 27,
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"metadata": {},
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"output_type": "execute_result"
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},
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ee30c851-14b1-4901-9182-4304d54d53a6",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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[[package]]
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name = "jupyterlab-pygments"
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version = "0.2.1"
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version = "0.2.2"
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description = "Pygments theme using JupyterLab CSS variables"
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category = "main"
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optional = false
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[[package]]
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name = "soupsieve"
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version = "2.3.2"
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version = "2.3.2.post1"
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description = "A modern CSS selector implementation for Beautiful Soup."
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category = "main"
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optional = false
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{file = "jupyterlab-3.3.3.tar.gz", hash = "sha256:294d67126015ba397f6b1c80563deec862e47e042623851bbe2a7d870d69eb6a"},
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]
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jupyterlab-pygments = [
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{file = "jupyterlab_pygments-0.2.1-py2.py3-none-any.whl", hash = "sha256:05f8056a18fec9ebef01f705443d81edb16bb03d27371f23c0ae135a85a76029"},
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{file = "jupyterlab_pygments-0.2.1.tar.gz", hash = "sha256:121da770930e348895f89d6bdfce7e7e6a8bb574162923f9c9ef5a20c61619c6"},
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{file = "jupyterlab_pygments-0.2.2-py2.py3-none-any.whl", hash = "sha256:2405800db07c9f770863bcf8049a529c3dd4d3e28536638bd7c1c01d2748309f"},
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{file = "jupyterlab_pygments-0.2.2.tar.gz", hash = "sha256:7405d7fde60819d905a9fa8ce89e4cd830e318cdad22a0030f7a901da705585d"},
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]
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jupyterlab-server = [
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{file = "jupyterlab_server-2.12.0-py3-none-any.whl", hash = "sha256:db5d234955c5c2684f77a064345712f071acf7df31f0d8c31b420b33b09d6472"},
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{file = "sniffio-1.2.0.tar.gz", hash = "sha256:c4666eecec1d3f50960c6bdf61ab7bc350648da6c126e3cf6898d8cd4ddcd3de"},
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]
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soupsieve = [
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{file = "soupsieve-2.3.2-py3-none-any.whl", hash = "sha256:a714129d3021ec17ce5be346b1007300558b378332c289a1a20e7d4de6ff18a5"},
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{file = "soupsieve-2.3.2.tar.gz", hash = "sha256:0bcc6d7432153063e3df09c3ac9442af3eba488715bfcad6a4c38ccb2a523124"},
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{file = "soupsieve-2.3.2.post1-py3-none-any.whl", hash = "sha256:3b2503d3c7084a42b1ebd08116e5f81aadfaea95863628c80a3b774a11b7c759"},
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{file = "soupsieve-2.3.2.post1.tar.gz", hash = "sha256:fc53893b3da2c33de295667a0e19f078c14bf86544af307354de5fcf12a3f30d"},
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]
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stack-data = [
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{file = "stack_data-0.2.0-py3-none-any.whl", hash = "sha256:999762f9c3132308789affa03e9271bbbe947bf78311851f4d485d8402ed858e"},
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