You are given the data for Uber drivers. It contains their ID$,$ starting date, end date and the yearly salary. For drivers who are no longer associated with Uber, the data has the end date. For others who are still working with Uber, the column 'end$\_$date' is empty. Identify the year$-$over$-$year fluctuations in the driver attrition rate for Uber. For each year, record the number of drivers who left the platform, as well as the number from the preceding year. Additionally, indicate whether there has been an increase, decrease, or no change in driver churn between these two consecutive years. Output Order of Columns are year, churned, churned$\_$prev, case $-$year: This column represents the year for which the churned driver data is being reported. $-$churned: This column represents the number of drivers who churned $($left the platform$)$ in the Current year. $-$churned$\_$prev: It provides the count of drivers who left Uber in the year before the current year. case: This column represents the categorization of the trend in driver churn between the current year and the previous year. It can take one of the following values: 'increase':Indicates that there was an increase in the number of drivers who churned from the previous year to the current year. 'decrease': Indicates that there was a decrease in the number of drivers who churned from the previous year to the current year. $\text{'}$no change': Indicates that the number of drivers who churned remained the same from the previous year to the current year.

Tables Schema as Below:

Uber

columnName dataType

idx INTEGER

start$\_$date DATETIME

end$\_$date DATETIME

yearly$\_$salary INTEGER

Input