2024-05-10 Saint Helena Pound News
2024-05-09
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Before we start, it's important to note that exchange rates are affected by a multitude of factors. Consequently, even a comprehensive data analysis may not capture all the nuances at play. Here, I will be analyzing the data mainly through the lens of descriptive statistics, focusing on the three objectives you mentioned.Understanding the overall trend of the exchange rates
To understand the overall trend of the exchange rates, we could calculate the average exchange rate by segmenting the dataset into distinct periods (e.g., hourly, daily) and plotting these average rates over time. If the plot shows an upward (or downward) trend, this suggests that the exchange rate is generally increasing (or decreasing) over this period. If the plot is roughly flat, this suggests that the rates are generally stable. However, with the data provided, it's not clear-cut that there's either an increasing or decreasing trend. The exchange rate fluctuates around 1.083, with minor deviations, suggesting a stable rate over this period.
Identifying any seasonality or recurring patterns
Next, we want to check for any seasonality or recurring patterns. This could be done by calculating and plotting the average exchange rate for each time of the day, or each day of the week, and looking for any consistent peaks or troughs. However, the data provided does not indicate any strong seasonal trends or patterns. The periodic fluctuations seem to be random rather than systematic.
Noting any outliers
Lastly, to check for outliers, we could plot a boxplot of the exchange rates. Any point that falls outside the whiskers of the boxplot can be considered an outlier. We could also use a more rigorous method, such as the Z-score method or the IQR method, to identify outliers. With the data provided, there's no significant deviation from the mean rate that could suggest the existence of outliers.
I hope this analysis provides the information you were looking for. Please let me know if there's anything else I can help you with.