Summary of Last Month
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
The dataset provided does not have any values in the HRK column; all entries in that column are 0. Therefore, it's impossible to conduct a comprehensive financial analysis or identify trends, seasonality, or outliers in the exchange rate. A proper dataset, with variable entries in the HRK exchange rate column, would be needed to conduct a valid financial time-series analysis.
Understanding the Overall Trend of the Exchange Rates
As noted above, all entries in the exchange rate column are equal to 0. On the face of it, this would suggest that the exchange rate remains stable throughout the recorded period. However, this is likely a sign that the dataset is incomplete or improperly recorded, as exchange rates generally fluctuate over time due to a range of economic factors.
Identifying Seasonality or Recurring Patterns
The absence of variation in the HRK exchange rate column also means that no seasonality or recurring patterns can be identified from this dataset. Analyzing seasonality typically involves identifying consistent peaks and troughs over a regular period, such as daily or monthly. Without any changes in exchange rates, it's not possible to identify any such patterns.
Noting any Outliers
Similarly, all entries being 0 means there are no identifiable outliers in this dataset. An outlier in a dataset is a data point that significantly differs from the others. With no variation among the data points in the HRK exchange rate column, no outliers can be noted.
To conduct a valid and useful financial analysis, we would at least need a dataset with a range of different values for the exchange rates. This would allow us to identify trends, patterns, and outliers that could help predict future changes in the rates. Given that the current dataset does not provide this, it would be advisable to check the data gathering process to ensure it is working as expected, and to collect a new, complete dataset if necessary.