Wait, the example in the JSON has periods as ["2020", "2021", "2022", "2023", "2024","2025","2026","2027","2028","2029","2030","2031","2032","2033"], which is 14 years. The user's Study Period is 2021-2033 (13 years). But the example includes 2020 as the first period. Maybe the user expects the chart to start from 2021. However, the example given by the user includes 2020-2024. To be safe, follow the example's structure but adjust the periods to fit the Study Period. Wait, the user's Study Period is 2021-2033. The example includes periods up to 2033. So I'll include all the years from 2021 to 2033. But the example has 14 periods (2020-2033), but the Study Period is 2021-2033. There might be a discrepancy here. However, the user's example includes 2020 as part of the data, so perhaps the historical data starts before 2021. Let me proceed with the example's structure, using the periods as ["2021", "2022", "2023", "2024", "2025", "2026", "2027", "2028", "2029", "2030", "2031", "2032", "2033"], but the example had 14 periods. Wait, the example shows up to 2024. Maybe the user intended the chart to have periods from 2020 to 2024. I need to check the example's JSON structure. The example's periods are ["2020", "2021", "2022", "2023", "2024","2025","2026","2027","2028","2029","2030","2031","2032","2033"], which is 14 years. But the Study Period is 2021-2033. Hmm. Maybe the user wants the chart to include the full range from 2020 to 2033. So I'll proceed with that, even if the Study Period starts in 2021. The data before 2021 could be historical for context.
