The bar chart above shows the top 10 selling products in the Superstore dataset. From the chart, we can see that the top selling product is PHONES with total sales of over $1,750,000.The second and third top selling products are COPIERS and CHAIRS, with total sales of over $1,509,436 and $1,501,681, respectively.

To analyze the trend of sales over time, we can create a time series plot of the monthly sales data. From the plot, we can observe any patterns, seasonality, or trends in the data. From the time series plot, we can observe that the sales are generally increasing over time, with some seasonal fluctuations. There is a noticeable spike in sales towards the end of each year, which may be due to holiday shopping. There is also a slight dip in sales during the mid-year period. This information can be useful for forecasting future sales and identifying potential areas for improvement in the business.

Based on the analysis, it is evident that the COVID-19 pandemic has been spreading rapidly worldwide. The total number of cases has been increasing steadily since the outbreak in late 2019. However, it is important to note that the data provided by WHO may not be complete or accurate due to various factors such as differences in reporting methods and limited testing capacities in some countries. Hence, the analysis may be subject to potential biases and limitations. Future work could include conducting more detailed analysis on regional and national levels, exploring the relationship between COVID-19 cases and various demographic and environmental factors, and evaluating the effectiveness of different interventions and policies in controlling the spread of the virus