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Basyrov Rustam
2024-11-22 14:25:08 +03:00
parent 4c7205f9ac
commit 8971d6a55b
1 changed files with 48 additions and 70 deletions
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Aigrind/Analisys.ipynb
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@@ -220,88 +220,28 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 19, "execution_count": 36,
"id": "a0f238ba", "id": "a0f238ba",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"data": { "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>account_id</th>\n",
" <th>created_date</th>\n",
" <th>campaign</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>3842380.0</td>\n",
" <td>2021-01-01</td>\n",
" <td>BRA_MS1_install</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>3842381.0</td>\n",
" <td>2021-01-01</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3842382.0</td>\n",
" <td>2021-01-01</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3842383.0</td>\n",
" <td>2021-01-01</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>3842384.0</td>\n",
" <td>2021-01-01</td>\n",
" <td>BRA_MS1_install</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [ "text/plain": [
" account_id created_date campaign\n", "array(['BRA_MS1_install', 'RUS_MS1_install', 'UKR_MS1_install',\n",
"0 3842380.0 2021-01-01 BRA_MS1_install\n", " 'BRA_MS1_purchase', 'RUS_MS1_purchase', 'PR_youtube_bloger',\n",
"1 3842381.0 2021-01-01 NaN\n", " 'UKR_MS1_purchase', 'ENG_MS2_install', 'BRA_MS2_install', 'our_fb'],\n",
"2 3842382.0 2021-01-01 NaN\n", " dtype=object)"
"3 3842383.0 2021-01-01 NaN\n",
"4 3842384.0 2021-01-01 BRA_MS1_install"
] ]
}, },
"execution_count": 19, "execution_count": 36,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
], ],
"source": [ "source": [
"registrations = pd.read_csv(\"data/registrations.csv\", index_col=0)\n", "registrations = pd.read_csv(\"data/registrations.csv\", index_col=0).dropna()\n",
"registrations.head()" "registrations.head()\n",
"registrations['campaign'].unique()"
] ]
}, },
{ {
@@ -495,10 +435,48 @@
"## Оптимальный срок окупаемости" "## Оптимальный срок окупаемости"
] ]
}, },
{
"cell_type": "markdown",
"id": "1701b5e5",
"metadata": {},
"source": [
"$$\\Large\n",
"T = \\frac{IC}{FV}\n",
"$$\n",
"\n",
"где:\n",
"\n",
"- $\\large T$ — срок окупаемости\n",
"- $\\large IC$ — инвестиционные расходы\n",
"- $\\large FV$ — прибыль"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "33a0a78b",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['BRA_MS1_install']"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"campaigns = list(registrations['campaign'].unique()[:1])\n",
"campaigns"
]
},
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"id": "f5e6e89a", "id": "35f2e77d",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [] "source": []