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Alexander Yuryatin authored Sep 6, 2022
1 parent b90df0d commit 10d13c2
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3 changes: 1 addition & 2 deletions salesplansuccess_illustration.ipynb
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"id": "baa8fb35",
"metadata": {},
"source": [
"### A Monte Carlo simulation for the final months of the current year 2022 (or if the dataset had ended with the month 12, then for the 12 months of the next year 2023)\n",
"#### The sample size does not affect the speed at this stage but may significantly slow plotting at the next stage"
"### A Monte Carlo simulation for the final months of the current year 2022 (or if the dataset had ended with the month 12, then it would have been for the 12 months of the next year 2023)"
]
},
{
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4 changes: 2 additions & 2 deletions setup.py
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setup(
name = 'salesplansuccess',
packages = ['salesplansuccess'],
version = '0.0.5',
version = '0.0.6',
license = 'MIT',
description = 'This package helps estimate the probability of achieving the annual sales plan for a specific product based on historical monthly sales data with the help of ARIMA modeling and Monte Carlo simulation',
url = 'https://github.com/yuryatin/salesplansuccess',
download_url = 'https://github.com/yuryatin/salesplansuccess/archive/refs/tags/v0.0.5.tar.gz',
download_url = 'https://github.com/yuryatin/salesplansuccess/archive/refs/tags/v0.0.6.tar.gz',
keywords = ['sales', 'forecast', 'arima', 'simulation', 'pharma', 'medications', 'pharmacy', 'pharmaceutical', 'ics', 'offtake'],
classifiers = [],
install_requires = ['numpy','pandas','matplotlib','statsmodels', 'scipy', 'datetime']
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