2024-05-07 Bolivar News
2024-05-06
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Based on the provided data and the request, I'm unable to provide a comprehensive analysis since all the values in the 'vef' column of the dataset are 0. The trend, seasonality, or noticeable outlier in the exchange rates cannot be identified from all zero values. There seems to be an issue with the dataset. However, here are the steps I would typically follow if the data points were not all 0:1. Understanding the Overall Trend:
I would calculate the daily, weekly, and monthly averages of the exchange rates and plot them against time. This would provide a clear indication of the overall trend, showing whether the rates generally increase, decrease, or remain stable over the given time period.
2. Identifying Seasonality:
For identifying any seasonality or recurring patterns, I would decompose the time series into 'trend', 'seasonal', and 'residual' components. Any regular pattern observed in the 'seasonal' component would indicate a recurring phenomenon in the exchange rates.
3. Noting Any Outliers:
I would plot boxplots for daily, weekly, and monthly exchange rates to indicate any outliers. These outliers would show instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality.
In this case, however, these analyses cannot be performed since all the values in the 'vef' column are 0. I would recommend to check the data extraction process and ensure that the 'vef' values were correctly retrieved and stored for proper analysis.