joined = conn.sql(" select distinct v.country, CAST(a.value AS FLOAT) as value, g.value as gender, q.value as question, r.value as demo \ from women_wellness.violence v \ left join women_wellness.violence__value a on (a._dlt_parent_id = v._dlt_id) \ left join women_wellness.violence__gender g on (g._dlt_parent_id = v._dlt_id and g._dlt_list_idx = a._dlt_list_idx) \ left join women_wellness.violence__question q on (q._dlt_parent_id = v._dlt_id and q._dlt_list_idx = g._dlt_list_idx) \ left join women_wellness.violence__demographics_response r on (r._dlt_parent_id = v._dlt_id and r._dlt_list_idx = q._dlt_list_idx) \ ").df() joined
countryobject
Afghanistan1.4%
Albania1.4%
68 others97.1%
valuefloat32
0.0 - 86.9000015258789
08.69000053405761717.38000106811523426.0699996948242234.7600021362304743.4500007629394552.1399993896484460.8300018310546969.5200042724609478.20999908447266Missing

0

Afghanistan

10.10000038

1

Afghanistan

13.80000019

2

Afghanistan

13.80000019

3

Afghanistan

17.29999924

4

Afghanistan

18

5

Afghanistan

18.10000038

6

Afghanistan

18.20000076

7

Afghanistan

18.29999924

8

Afghanistan

18.29999924

9

Afghanistan

19.10000038

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