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The problem context involves finding the median of a specific column, 'lat_n', in a table named 'station'. The median is a measure of central tendency that separates the higher half from the lower half of a data sample. In this case, the data sample is the 'lat_n' column of the 'station' table.
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The solution approach involves using nested SQL queries. The main query selects and rounds the 'lat_n' value from the 'station' table. The WHERE clause of the main query contains two subqueries. The first subquery counts the number of 'lat_n' values that are less than the current 'lat_n' value, and the second subquery counts the number of 'lat_n' values that are greater than the current 'lat_n' value. The main query returns the 'lat_n' value for which these two counts are equal, which is the median of 'lat_n'.
SELECT Round(st.lat_n, 4)
FROM station AS st
WHERE (SELECT Count(lat_n) FROM station WHERE lat_n < st.lat_n) = (SELECT Count(lat_n) FROM station WHERE lat_n > st.lat_n);
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