The new time-series analytic tools included in TimescaleDB 1.2 enable users to write more efficient and readable queries for time-series analysis using SQL. These tools include `time_bucket_gapfill`, `interpolate`, and `locf` functions, which work together to create contiguous, ordered time buckets with gap filling capabilities. The `time_bucket_gapfill` function guarantees a contiguous set of time buckets by providing additional rows in place of gaps, ensuring the returned rows are in chronological order and contiguous. The `locf` function imputes missing values by assuming the previous known value, while the `interpolate` function performs linear interpolation between the previous and next known value. These techniques can be combined as needed in a single time bucketed query, and best practices for using them include choosing the right approach based on data assumptions and analytical goals. The new tools are not only more readable but also less error-prone, more flexible with regard to grouping, and faster to execute than previous methods.