2024-04-22 Pula News
2024-04-21
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Data analysis for BWP Exchange Rates
The given dataset is a time-series bearing the values of the BWP exchange rate at different timestamps. The following analysis presents a step-by-step delineation of patterns, trends, and outlier in the data set.
Overall Trend Analysis
The BWP exchange rate in our dataset is seen to oscillate between 0.09821 and 0.10088. However, making a definitive general statement about the overall trend would require more specific statistical analysis such as calculating averages, looking at standard deviations, or implementing more complex trend detection during different periods. Nonetheless, a visual inspection could be reasonably revealing for the general trend.
Seasonality and Recurring Patterns
Seasonality refers to a recurring pattern within a fixed period. In the case of exchange rates, this could be influenced by various factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. However, given the limited span of the data and the request to ignore specific events influencing dominantly on trading days/times or holidays, it is challenging to spot seasonality in such a dataset without proper data visualization tools.
Identification of Outliers
An outlier can be described as an observation that lies an abnormal distance from other values in a random sample from a population. An examination of the dataset does not immediately reveal any obvious outliers. However, the presence of outliers should be confirmed through more thorough statistical analysis like the calculation of z-scores, etc.
In conclusion, although a rudimentary analysis fails to show the presence of an increasing or decreasing trend, more thorough statistical/quantitative analysis methods would definitely provide deeper insights into this dataset.