This commit is contained in:
Michael Zargham 2019-01-06 00:48:22 -08:00
parent 9d02c0562c
commit 8823959552
1 changed files with 262 additions and 0 deletions

View File

@ -1146,6 +1146,268 @@
"rdf.head()"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>conversion_rate</th>\n",
" <th>cost_of_production</th>\n",
" <th>fiat_reserve</th>\n",
" <th>mech_step</th>\n",
" <th>operational_budget</th>\n",
" <th>overhead_cost</th>\n",
" <th>producer_roi_estimate</th>\n",
" <th>run</th>\n",
" <th>smooth_avg_fiat_reserve</th>\n",
" <th>smooth_avg_token_reserve</th>\n",
" <th>time_step</th>\n",
" <th>token_reserve</th>\n",
" <th>token_supply</th>\n",
" <th>tx_volume</th>\n",
" <th>volume_of_production</th>\n",
" <th>price</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>104.000000</td>\n",
" <td>104.000000</td>\n",
" <td>104.000000</td>\n",
" <td>104.0</td>\n",
" <td>104.000000</td>\n",
" <td>104.000000</td>\n",
" <td>104.000000</td>\n",
" <td>104.0</td>\n",
" <td>104.000000</td>\n",
" <td>104.000000</td>\n",
" <td>104.000000</td>\n",
" <td>104.000000</td>\n",
" <td>104.000000</td>\n",
" <td>104.000000</td>\n",
" <td>104.000000</td>\n",
" <td>104.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>18.038010</td>\n",
" <td>5.313747</td>\n",
" <td>15555.004693</td>\n",
" <td>9.0</td>\n",
" <td>50423.295535</td>\n",
" <td>514.458177</td>\n",
" <td>0.436260</td>\n",
" <td>1.0</td>\n",
" <td>15418.591151</td>\n",
" <td>209699.048715</td>\n",
" <td>52.500000</td>\n",
" <td>241087.912835</td>\n",
" <td>398212.294837</td>\n",
" <td>12100.995112</td>\n",
" <td>167.341179</td>\n",
" <td>0.145617</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>12.495887</td>\n",
" <td>1.119161</td>\n",
" <td>7784.452776</td>\n",
" <td>0.0</td>\n",
" <td>11752.391870</td>\n",
" <td>1.156366</td>\n",
" <td>0.460784</td>\n",
" <td>0.0</td>\n",
" <td>6239.000987</td>\n",
" <td>105845.124212</td>\n",
" <td>30.166206</td>\n",
" <td>105560.540253</td>\n",
" <td>180823.117735</td>\n",
" <td>10624.312917</td>\n",
" <td>59.578909</td>\n",
" <td>0.197846</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>1.034702</td>\n",
" <td>3.705782</td>\n",
" <td>6319.578813</td>\n",
" <td>9.0</td>\n",
" <td>25764.055434</td>\n",
" <td>511.703711</td>\n",
" <td>-0.016302</td>\n",
" <td>1.0</td>\n",
" <td>7266.027136</td>\n",
" <td>25836.965540</td>\n",
" <td>1.000000</td>\n",
" <td>33369.655400</td>\n",
" <td>34750.000000</td>\n",
" <td>1070.613127</td>\n",
" <td>22.250000</td>\n",
" <td>0.026173</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>6.397693</td>\n",
" <td>4.631049</td>\n",
" <td>8331.708170</td>\n",
" <td>9.0</td>\n",
" <td>42545.677105</td>\n",
" <td>513.802505</td>\n",
" <td>0.155362</td>\n",
" <td>1.0</td>\n",
" <td>9146.154990</td>\n",
" <td>128117.717089</td>\n",
" <td>26.750000</td>\n",
" <td>157628.001519</td>\n",
" <td>254838.873344</td>\n",
" <td>3278.599923</td>\n",
" <td>142.007477</td>\n",
" <td>0.033688</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>16.460403</td>\n",
" <td>5.069973</td>\n",
" <td>14648.845933</td>\n",
" <td>9.0</td>\n",
" <td>51975.359355</td>\n",
" <td>514.660656</td>\n",
" <td>0.300279</td>\n",
" <td>1.0</td>\n",
" <td>15076.737576</td>\n",
" <td>203840.294648</td>\n",
" <td>52.500000</td>\n",
" <td>237337.089296</td>\n",
" <td>424748.426185</td>\n",
" <td>9105.589498</td>\n",
" <td>161.784832</td>\n",
" <td>0.060753</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>29.685322</td>\n",
" <td>5.569544</td>\n",
" <td>21083.887648</td>\n",
" <td>9.0</td>\n",
" <td>57725.254975</td>\n",
" <td>515.239833</td>\n",
" <td>0.402245</td>\n",
" <td>1.0</td>\n",
" <td>21333.054255</td>\n",
" <td>301050.565295</td>\n",
" <td>78.250000</td>\n",
" <td>332307.585381</td>\n",
" <td>555918.482210</td>\n",
" <td>16585.062472</td>\n",
" <td>187.147862</td>\n",
" <td>0.156352</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>38.207186</td>\n",
" <td>9.606290</td>\n",
" <td>38164.575141</td>\n",
" <td>9.0</td>\n",
" <td>75032.592416</td>\n",
" <td>516.263750</td>\n",
" <td>1.778724</td>\n",
" <td>1.0</td>\n",
" <td>26576.334263</td>\n",
" <td>387715.763169</td>\n",
" <td>104.000000</td>\n",
" <td>414982.125266</td>\n",
" <td>657181.023606</td>\n",
" <td>41543.209511</td>\n",
" <td>306.200332</td>\n",
" <td>0.966462</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" conversion_rate cost_of_production fiat_reserve mech_step \\\n",
"count 104.000000 104.000000 104.000000 104.0 \n",
"mean 18.038010 5.313747 15555.004693 9.0 \n",
"std 12.495887 1.119161 7784.452776 0.0 \n",
"min 1.034702 3.705782 6319.578813 9.0 \n",
"25% 6.397693 4.631049 8331.708170 9.0 \n",
"50% 16.460403 5.069973 14648.845933 9.0 \n",
"75% 29.685322 5.569544 21083.887648 9.0 \n",
"max 38.207186 9.606290 38164.575141 9.0 \n",
"\n",
" operational_budget overhead_cost producer_roi_estimate run \\\n",
"count 104.000000 104.000000 104.000000 104.0 \n",
"mean 50423.295535 514.458177 0.436260 1.0 \n",
"std 11752.391870 1.156366 0.460784 0.0 \n",
"min 25764.055434 511.703711 -0.016302 1.0 \n",
"25% 42545.677105 513.802505 0.155362 1.0 \n",
"50% 51975.359355 514.660656 0.300279 1.0 \n",
"75% 57725.254975 515.239833 0.402245 1.0 \n",
"max 75032.592416 516.263750 1.778724 1.0 \n",
"\n",
" smooth_avg_fiat_reserve smooth_avg_token_reserve time_step \\\n",
"count 104.000000 104.000000 104.000000 \n",
"mean 15418.591151 209699.048715 52.500000 \n",
"std 6239.000987 105845.124212 30.166206 \n",
"min 7266.027136 25836.965540 1.000000 \n",
"25% 9146.154990 128117.717089 26.750000 \n",
"50% 15076.737576 203840.294648 52.500000 \n",
"75% 21333.054255 301050.565295 78.250000 \n",
"max 26576.334263 387715.763169 104.000000 \n",
"\n",
" token_reserve token_supply tx_volume volume_of_production \\\n",
"count 104.000000 104.000000 104.000000 104.000000 \n",
"mean 241087.912835 398212.294837 12100.995112 167.341179 \n",
"std 105560.540253 180823.117735 10624.312917 59.578909 \n",
"min 33369.655400 34750.000000 1070.613127 22.250000 \n",
"25% 157628.001519 254838.873344 3278.599923 142.007477 \n",
"50% 237337.089296 424748.426185 9105.589498 161.784832 \n",
"75% 332307.585381 555918.482210 16585.062472 187.147862 \n",
"max 414982.125266 657181.023606 41543.209511 306.200332 \n",
"\n",
" price \n",
"count 104.000000 \n",
"mean 0.145617 \n",
"std 0.197846 \n",
"min 0.026173 \n",
"25% 0.033688 \n",
"50% 0.060753 \n",
"75% 0.156352 \n",
"max 0.966462 "
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rdf.describe()"
]
},
{
"cell_type": "code",
"execution_count": 35,