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Update funding campaign demo.ipynb
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changed numbers and updated metrics with feedback from berndt. meant to support decisions on numbers
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Zargham committed Jul 26, 2019
1 parent 1014ebc commit 6da7870
Showing 1 changed file with 148 additions and 31 deletions.
179 changes: 148 additions & 31 deletions funding campaign demo.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -13,7 +13,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -23,37 +23,37 @@
"campaigns = {1:{'name': 'ABC field test',\n",
" 'multiplier': 2.5,\n",
" 'min_raise': 984.0, \n",
" 'max_raise': 1500.0, \n",
" 'max_raise': 1260.0, \n",
" 'cutoff_date': init_date+timedelta(days=365*2/12.0),\n",
" 'expected_time': timedelta(days=365*8/12.0)},\n",
" 2:{'name': 'Giveth field test',\n",
" 'multiplier': 2.0,\n",
" 'min_raise': 726.0, \n",
" 'max_raise': 1500.0, \n",
" 'max_raise': 940.0, \n",
" 'cutoff_date': init_date+timedelta(days=365*4/12),\n",
" 'expected_time': timedelta(days=365*6/12.0)},\n",
" 3:{'name': 'CV field test',\n",
" 'multiplier': 1.5,\n",
" 'min_raise': 1140.0, \n",
" 'max_raise': 2000.0, \n",
" 'max_raise': 1460.0, \n",
" 'cutoff_date': init_date+timedelta(days=365*6/12),\n",
" 'expected_time': timedelta(days=365*12/12)},\n",
" 4:{'name': 'Analytics',\n",
" 'multiplier': 1.25,\n",
" 'min_raise': 780.0, \n",
" 'max_raise': 1500.0, \n",
" 'max_raise': 975.0, \n",
" 'cutoff_date': init_date+timedelta(days=365*4/12.0),\n",
" 'expected_time': timedelta(days=365*16/12.0)},\n",
" 5:{'name': 'Mobile first',\n",
" 'multiplier': 1.125,\n",
" 'min_raise': 1610.0, \n",
" 'max_raise': 2500.0, \n",
" 'max_raise': 2010.0, \n",
" 'cutoff_date': init_date+timedelta(days=365*8/12.0),\n",
" 'expected_time': timedelta(days=365*24/12.0)},\n",
" 6:{'name': 'Easy Deploy',\n",
" 'multiplier': 1.0,\n",
" 'min_raise': 1500.0, \n",
" 'max_raise': 3000.0, \n",
" 'max_raise': 1875.0, \n",
" 'cutoff_date': init_date+timedelta(days=365*6/12.0),\n",
" 'expected_time': timedelta(days=365*30/12.0)},\n",
" \n",
Expand All @@ -62,19 +62,41 @@
},
{
"cell_type": "code",
"execution_count": 23,
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1875.0"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"1500*1.25"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"total_min = sum([campaigns[i]['min_raise'] for i in campaigns.keys()])\n",
"total_max = sum([campaigns[i]['max_raise'] for i in campaigns.keys()])\n",
"\n",
"total_first3_at_max = sum([campaigns[i]['max_raise'] for i in campaigns.keys()if i<4] )"
"total_first3_at_max = sum([campaigns[i]['max_raise'] for i in campaigns.keys()if i<4] )\n",
"total_first3_at_min = sum([campaigns[i]['min_raise'] for i in campaigns.keys()if i<4] )\n",
"total_first4_at_min = sum([campaigns[i]['min_raise'] for i in campaigns.keys()if i<5] )"
]
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": 22,
"metadata": {},
"outputs": [
{
Expand All @@ -91,14 +113,14 @@
},
{
"cell_type": "code",
"execution_count": 20,
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"largest outcome: 12000.0\n"
"largest outcome: 8520.0\n"
]
}
],
Expand All @@ -115,14 +137,31 @@
"name": "stdout",
"output_type": "stream",
"text": [
"outcome at first 3 full amount: 5000.0\n"
"outcome at first 3 full amount: 3660.0\n"
]
}
],
"source": [
"print(\"outcome at first 3 full amount: \"+str(total_first3_at_max))"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"buffer for first 3 given first 3 full amount: 1.2842105263157895\n"
]
}
],
"source": [
"print(\"buffer for first 3 given first 3 full amount: \"+str(total_first3_at_max/total_first3_at_min))"
]
},
{
"cell_type": "code",
"execution_count": 25,
Expand All @@ -132,7 +171,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"share of total budget covered by capping first 3: 0.7418397626112759\n"
"share of total budget covered by capping first 3: 0.543026706231454\n"
]
}
],
Expand All @@ -142,51 +181,128 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"share of 4 iteration budget covered by capping first 3: 1.0082644628099173\n"
]
}
],
"source": [
"print(\"share of 4 iteration budget covered by capping first 3: \"+str(total_first3_at_max/total_first4_at_min))"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"multi_mins = [campaigns[i]['multiplier']*campaigns[i]['min_raise'] for i in campaigns.keys()]\n",
"multi_maxs = [campaigns[i]['multiplier']*campaigns[i]['max_raise'] for i in campaigns.keys()]"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{1: {'cutoff_date': datetime.datetime(2019, 9, 24, 7, 14, 2, 789927),\n",
"[2460.0, 1452.0, 1710.0, 975.0, 1811.25, 1500.0]"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"multi_mins"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"hatch allocations after first 3 at min:4286.25\n",
"hatch allocations after first 6 at min:9908.25\n",
"hatch allocations after first 3 at max:5355.0\n",
"hatch allocations after first 6 at max:12575.0\n"
]
}
],
"source": [
"#hatch allocations after first 3 at min\n",
"print(\"hatch allocations after first 3 at min:\"+str(sum(multi_mins[3:])) )\n",
"\n",
"#hatch allocations after all 6 at min\n",
"print(\"hatch allocations after first 6 at min:\"+str(sum(multi_mins)) )\n",
"\n",
"#hatch allocations after first 3 at max\n",
"print(\"hatch allocations after first 3 at max:\"+str(sum(multi_maxs[3:])) )\n",
"\n",
"#hatch allocations after all 6 at max\n",
"print(\"hatch allocations after first 6 at max:\"+str(sum(multi_maxs)) )"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{1: {'cutoff_date': datetime.datetime(2019, 9, 24, 7, 21, 10, 221483),\n",
" 'expected_time': datetime.timedelta(243, 28800),\n",
" 'max_raise': 1500.0,\n",
" 'min_raise': 984.0,\n",
" 'multiplier': 2.5,\n",
" 'name': 'ABC field test'},\n",
" 2: {'cutoff_date': datetime.datetime(2019, 11, 24, 3, 14, 2, 789927),\n",
" 2: {'cutoff_date': datetime.datetime(2019, 11, 24, 3, 21, 10, 221483),\n",
" 'expected_time': datetime.timedelta(182, 43200),\n",
" 'max_raise': 1500.0,\n",
" 'min_raise': 726.0,\n",
" 'multiplier': 2.0,\n",
" 'name': 'Giveth field test'},\n",
" 3: {'cutoff_date': datetime.datetime(2020, 1, 23, 23, 14, 2, 789927),\n",
" 3: {'cutoff_date': datetime.datetime(2020, 1, 23, 23, 21, 10, 221483),\n",
" 'expected_time': datetime.timedelta(365),\n",
" 'max_raise': 2000.0,\n",
" 'min_raise': 1140.0,\n",
" 'multiplier': 1.5,\n",
" 'name': 'CV field test'},\n",
" 4: {'cutoff_date': datetime.datetime(2019, 11, 24, 3, 14, 2, 789927),\n",
" 4: {'cutoff_date': datetime.datetime(2019, 11, 24, 3, 21, 10, 221483),\n",
" 'expected_time': datetime.timedelta(486, 57600),\n",
" 'max_raise': 1500.0,\n",
" 'min_raise': 780.0,\n",
" 'multiplier': 1.25,\n",
" 'name': 'Analytics'},\n",
" 5: {'cutoff_date': datetime.datetime(2020, 3, 24, 19, 14, 2, 789927),\n",
" 5: {'cutoff_date': datetime.datetime(2020, 3, 24, 19, 21, 10, 221483),\n",
" 'expected_time': datetime.timedelta(730),\n",
" 'max_raise': 2500.0,\n",
" 'min_raise': 1610.0,\n",
" 'multiplier': 1.125,\n",
" 'name': 'Mobile first'},\n",
" 6: {'cutoff_date': datetime.datetime(2020, 1, 23, 23, 14, 2, 789927),\n",
" 6: {'cutoff_date': datetime.datetime(2020, 1, 23, 23, 21, 10, 221483),\n",
" 'expected_time': datetime.timedelta(912, 43200),\n",
" 'max_raise': 3000.0,\n",
" 'min_raise': 1500.0,\n",
" 'multiplier': 1.0,\n",
" 'name': 'Easy Deploy'}}"
]
},
"execution_count": 10,
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -197,7 +313,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -208,7 +324,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 10,
"metadata": {},
"outputs": [
{
Expand All @@ -225,7 +341,7 @@
" 6: {'raised': 0, 'status': 'not_started'}}}"
]
},
"execution_count": 5,
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -236,7 +352,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -260,20 +376,20 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 12,
"metadata": {},
"outputs": [
{
"ename": "IndentationError",
"evalue": "expected an indented block (<ipython-input-7-391e9e4fe3a3>, line 12)",
"evalue": "expected an indented block (<ipython-input-12-88028d8e562f>, line 12)",
"output_type": "error",
"traceback": [
"\u001b[0;36m File \u001b[0;32m\"<ipython-input-7-391e9e4fe3a3>\"\u001b[0;36m, line \u001b[0;32m12\u001b[0m\n\u001b[0;31m elif week > campaigns[ct]['cutoff_date']:\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mIndentationError\u001b[0m\u001b[0;31m:\u001b[0m expected an indented block\n"
"\u001b[0;36m File \u001b[0;32m\"<ipython-input-12-88028d8e562f>\"\u001b[0;36m, line \u001b[0;32m12\u001b[0m\n\u001b[0;31m elif week > campaigns[ct]['cutoff_date']:\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mIndentationError\u001b[0m\u001b[0;31m:\u001b[0m expected an indented block\n"
]
}
],
"source": [
" \n",
"#to be written to match the logic in the image above \n",
"def tranche_iter_logic(week, state):\n",
" \n",
" ct = state['active_tranche']\n",
Expand Down Expand Up @@ -309,6 +425,7 @@
"metadata": {},
"outputs": [],
"source": [
"# generate a simulation so what happens!\n",
"states = [state]\n",
"for t in range(T):\n",
" new_raise = gen_raise()\n",
Expand Down

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