DATA SCIEN 2020
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SANDYA VB-Business Report TSF project latest 2023
- Other • 24 pages • 2023
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1. Read the data as an appropriate Time Series data and plot the data.
The two datasets: Rose and Sparkling are imported using the read command. And convert to time series
data using
date_range function:
date = _range(start='01/01/1980', end='08/01/1995', freq='M')date
df['Time_Stamp'] = pd.DataFrame(date,columns=['Month'])
()
o/p:
ROSE WINE YEAR WISE SALES
• From the above plot we observe that there is a
decreasing trend in the initial years and stabilizes
over the years...
Other
SANDYA VB-Business Report TSF project latest 2023
Last document update:
ago
1. Read the data as an appropriate Time Series data and plot the data. The two datasets: Rose and Sparkling are imported using the read command. And convert to time series data using date_range function: date = _range(start='01/01/1980', end='08/01/1995', freq='M')date df['Time_Stamp'] = pd.DataFrame(date,columns=['Month']) () o/p: ROSE WINE YEAR WISE SALES • From the above plot we observe that there is a decreasing trend in the initial years and stabilizes over the years...
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