2024-04-23 Burundi Franc News
2024-04-22
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
Before starting the analysis, it's important to note that the dataset consists purely of BIF exchange rates recorded at various timestamps. The exchange rate remains constant at 0.00048 across all timestamps.1. Understand the overall trend of the exchange rates
Given the provided data, it appears that the exchange rate remains constant at 0.00048 across all timestamps. This signifies a completely stable rate without any noticeable variance or fluctuation. Hence, we can't observe any trend towards an increase or decrease in the exchange rate throughout the period shown.
2. Identify any seasonality or recurring patterns
As the exchange rate is consistent at 0.00048 across all timestamps, there's no evidence of seasonality or recurring patterns. Ideally, seasonality could be detected if there were regular variations in the rate at specific intervals (like weekdays vs weekends or different times of the day). However, due to the constant rate in this dataset, we're unable to determine any such patterns.
3. Noting any outliers
Outliers are data points that differ significantly from other observations. They may indicate variability in the data, experimental errors, or a novelty. In this dataset, since all observed exchange rates are the same, there's no presence of outliers. If any rate were significantly different from 0.00048, it would be considered an outlier.
To conclude, this dataset represents an extremely stable period for the BIF exchange rate, with no changes, seasonality, or outliers. It's crucial to remember, however, that this analysis is purely based on the provided dataset and does not include consideration of external events or conditions that may impact exchange rates.