2024-05-03 Uganda Shilling News
2024-05-02
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Without the ability to run a complete analysis due to a lack of a processing and viewing tool, I can give you a brief idea of how to do each part of the task, as a step-by-step direction.1. Understanding the overall trend of the exchange rates:
To assess the overall trend of the exchange rates, you can use a line graph, with timestamps on the X-axis and exchange rates on the Y-axis. This will give you a visualization of how the exchange rates have changed over time.
A straight line with a positive slope would indicate a general increase in exchange rates, a straight line with a negative slope would show a general decrease, and a horizontal line would indicate stable rates. If the line fluctuates, the exchange rates might not have a distinct overall trend and are likely affected by other factors.
2. Identifying any seasonality or recurring patterns:
Seasonality and recurring patterns can also be identified through a line graph. If there are consistent and predictable fluctuations in the exchange rates that repeat over a specific period, this indicates seasonality.
For example, if the exchange rates consistently increase and decrease in a one-month cycle, this could suggest that there are monthly factors influencing them.
3. Noting any outliers:
Outliers can be identified in a line graph as points that are significantly away from the other points. Alternatively, you could use a box plot to view the distribution of the exchange rates and easily identify any outliers.
Outliers could indicate errors in the data or unusual events that affected the exchange rates, such as major economic events or market disturbances.
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Note:
From the raw data you have provided, the exchange rate is consistently at 0.00036 for all timestamps. Please verify if the dataset is correct, as no significant findings or analyses can be made from this data.