Task: equi-join-detect (source dataset: Auto-BI)

Your are given a database with related tables used for business intelligence analysis. Your task is to identify all key/foreign-key join relationships between the tables for this database. Recall that a join is a relationship between two tables, that allows rows from one table to be combined with rows from another, based on a set of common join columns.
 
 
No explanation needed. Please return all join relationships in the following JSON format:
{
  "joins": [
    {
      "from_table": "table-1",
      "from_column": "column-1",
      "to_table": "table-2",
      "to_column": "column-3"
    }, 
	...
  ]
}

Tables:

Table: Calendario
| Date                    |
|:------------------------|
| 2019-10-01 00:00:00.000 |
| 2019-10-02 00:00:00.000 |
| 2019-10-03 00:00:00.000 |
| 2019-10-04 00:00:00.000 |
| 2019-10-05 00:00:00.000 |
| 2019-10-06 00:00:00.000 |
| 2019-10-07 00:00:00.000 |
| 2019-10-08 00:00:00.000 |
| 2019-10-09 00:00:00.000 |
| 2019-10-10 00:00:00.000 |


Table: CasosGeneroEtario
| Grupo de edad   | Sexo   | Fecha                   |   Cases | Genero   |
|:----------------|:-------|:------------------------|--------:|:---------|
| 00 - 04 años    | M      | 2020-03-25 00:00:00.000 |       4 | Hombre   |
| 00 - 04 años    | M      | 2020-03-26 00:00:00.000 |       5 | Hombre   |
| 00 - 04 años    | M      | 2020-03-27 00:00:00.000 |       5 | Hombre   |
| 00 - 04 años    | M      | 2020-03-28 00:00:00.000 |       5 | Hombre   |
| 00 - 04 años    | M      | 2020-03-29 00:00:00.000 |       5 | Hombre   |
| 00 - 04 años    | M      | 2020-03-30 00:00:00.000 |       5 | Hombre   |
| 00 - 04 años    | M      | 2020-03-31 00:00:00.000 |       6 | Hombre   |
| 00 - 04 años    | M      | 2020-04-01 00:00:00.000 |       7 | Hombre   |
| 00 - 04 años    | M      | 2020-04-02 00:00:00.000 |       7 | Hombre   |
| 00 - 04 años    | M      | 2020-04-03 00:00:00.000 |       8 | Hombre   |


Table: Comunas
| Region   | Comuna     | Fecha                   |   cases |   Poblacion |   new_cases |
|:---------|:-----------|:------------------------|--------:|------------:|------------:|
| Aysén    | Lago Verde | 2020-03-30 00:00:00.000 |       0 |         920 |           0 |
| Aysén    | Lago Verde | 2020-04-01 00:00:00.000 |       0 |         920 |           0 |
| Aysén    | Lago Verde | 2020-04-03 00:00:00.000 |       0 |         920 |           0 |
| Aysén    | Lago Verde | 2020-04-06 00:00:00.000 |       0 |         920 |           0 |
| Aysén    | Lago Verde | 2020-04-08 00:00:00.000 |       0 |         920 |           0 |
| Aysén    | Lago Verde | 2020-04-10 00:00:00.000 |       0 |         920 |           0 |
| Aysén    | Lago Verde | 2020-04-13 00:00:00.000 |       0 |         920 |           0 |
| Aysén    | Lago Verde | 2020-04-15 00:00:00.000 |       0 |         920 |           0 |
| Aysén    | Lago Verde | 2020-04-17 00:00:00.000 |       0 |         920 |           0 |
| Aysén    | Lago Verde | 2020-04-20 00:00:00.000 |       0 |         920 |           0 |


Table: covid19
| dateRep                 |   day |   month |   year |   cases |   deaths |   recovered |   cases_acc |   deaths_acc | countriesAndTerritories   | geoId   | countryterritoryCode   |   popData2018 | date                    |   dias |   casos acumulados |   tasa |   dias>100 |   infected_acc |   dias>500 |   Letalidad |   Infected |   cases movil_3d |   cases movil_5d |   tasa movil_5d |   deaths movil_5d |   recovered_acc |   tasa 7d-30d |   tasa 7d-max |   KPI actividad |   cases_7d |   poblacion |   cases pm |   death pm |   fecha_num |
|:------------------------|------:|--------:|-------:|--------:|---------:|------------:|------------:|-------------:|:--------------------------|:--------|:-----------------------|--------------:|:------------------------|-------:|-------------------:|-------:|-----------:|---------------:|-----------:|------------:|-----------:|-----------------:|-----------------:|----------------:|------------------:|----------------:|--------------:|--------------:|----------------:|-----------:|------------:|-----------:|-----------:|------------:|
| 2020-02-01 00:00:00.000 |     1 |       2 |   2020 |       0 |        0 |           0 |           0 |            0 | Afghanistan               | AF      | AFG                    |             1 | 2020-02-01 00:00:00.000 |     10 |                  0 |      0 |          0 |              0 |          0 |           0 |          0 |                0 |                0 |               0 |                 0 |               0 |             0 |             0 |               0 |          0 |    38928341 |          0 |          0 |         201 |
| 2020-02-01 00:00:00.000 |     1 |       2 |   2020 |       0 |        0 |           0 |           0 |            0 | Albania                   | AL      | ALB                    |             1 | 2020-02-01 00:00:00.000 |     10 |                  0 |      0 |          0 |              0 |          0 |           0 |          0 |                0 |                0 |               0 |                 0 |               0 |             0 |             0 |               0 |          0 |     2877800 |          0 |          0 |         201 |
| 2020-02-01 00:00:00.000 |     1 |       2 |   2020 |       0 |        0 |           0 |           0 |            0 | Algeria                   | DZ      | DZA                    |             1 | 2020-02-01 00:00:00.000 |     10 |                  0 |      0 |          0 |              0 |          0 |           0 |          0 |                0 |                0 |               0 |                 0 |               0 |             0 |             0 |               0 |          0 |    43851043 |          0 |          0 |         201 |
| 2020-02-01 00:00:00.000 |     1 |       2 |   2020 |       0 |        0 |           0 |           0 |            0 | Andorra                   | AD      | AND                    |             1 | 2020-02-01 00:00:00.000 |     10 |                  0 |      0 |          0 |              0 |          0 |           0 |          0 |                0 |                0 |               0 |                 0 |               0 |             0 |             0 |               0 |          0 |       77265 |          0 |          0 |         201 |
| 2020-02-01 00:00:00.000 |     1 |       2 |   2020 |       0 |        0 |           0 |           0 |            0 | Angola                    | AO      | AGO                    |             1 | 2020-02-01 00:00:00.000 |     10 |                  0 |      0 |          0 |              0 |          0 |           0 |          0 |                0 |                0 |               0 |                 0 |               0 |             0 |             0 |               0 |          0 |    32866268 |          0 |          0 |         201 |
| 2020-02-01 00:00:00.000 |     1 |       2 |   2020 |       0 |        0 |           0 |           0 |            0 | Antigua and Barbuda       | AG      | ATG                    |             1 | 2020-02-01 00:00:00.000 |     10 |                  0 |      0 |          0 |              0 |         11 |           0 |          0 |                0 |                0 |               0 |                 0 |               0 |             0 |             0 |               0 |          0 |       97928 |          0 |          0 |         201 |
| 2020-02-01 00:00:00.000 |     1 |       2 |   2020 |       0 |        0 |           0 |           0 |            0 | Argentina                 | AR      | ARG                    |             1 | 2020-02-01 00:00:00.000 |     10 |                  0 |      0 |          0 |              0 |          0 |           0 |          0 |                0 |                0 |               0 |                 0 |               0 |             0 |             0 |               0 |          0 |    45195777 |          0 |          0 |         201 |
| 2020-02-01 00:00:00.000 |     1 |       2 |   2020 |       0 |        0 |           0 |           0 |            0 | Armenia                   | AM      | ARM                    |             1 | 2020-02-01 00:00:00.000 |     10 |                  0 |      0 |          0 |              0 |          0 |           0 |          0 |                0 |                0 |               0 |                 0 |               0 |             0 |             0 |               0 |          0 |     2963234 |          0 |          0 |         201 |
| 2020-02-01 00:00:00.000 |     1 |       2 |   2020 |       0 |        0 |           0 |           0 |            0 | Austria                   | AT      | AUT                    |             1 | 2020-02-01 00:00:00.000 |     10 |                  0 |      0 |          0 |              0 |          0 |           0 |          0 |                0 |                0 |               0 |                 0 |               0 |             0 |             0 |               0 |          0 |     9006400 |          0 |          0 |         201 |
| 2020-02-01 00:00:00.000 |     1 |       2 |   2020 |       0 |        0 |           0 |           0 |            0 | Azerbaijan                | AZ      | AZE                    |             1 | 2020-02-01 00:00:00.000 |     10 |                  0 |      0 |          0 |              0 |          0 |           0 |          0 |                0 |                0 |               0 |                 0 |               0 |             0 |             0 |               0 |          0 |    10139175 |          0 |          0 |         201 |


Table: covid19_cl
| dateRep                 |   day |   month |   year |   cases |   deaths |   recovered |   cases_acc |   deaths_acc | Region             |   popData2018 | Ubicacion                        |   recovered_acc |   Infected |   cases movil_7d |   deaths movil_7d |   Infected_acc |   pcr |   Negativos |   tasa movil_7d |   tasa |   Est contagiados |   Contagiados_porc |   Contagiados_100k |   death_100k |   uci |   positividad |   positividad movil_7d |   cases 30d |   tasa 30d |   pocentaje cases |
|:------------------------|------:|--------:|-------:|--------:|---------:|------------:|------------:|-------------:|:-------------------|--------------:|:---------------------------------|----------------:|-----------:|-----------------:|------------------:|---------------:|------:|------------:|----------------:|-------:|------------------:|-------------------:|-------------------:|-------------:|------:|--------------:|-----------------------:|------------:|-----------:|------------------:|
| 2020-03-03 00:00:00.000 |     3 |       3 |   2020 |       0 |        0 |           0 |           0 |            0 | Arica y Parinacota |        252110 | Region Arica y Parinacota, Chile |               0 |          0 |                0 |                 0 |              0 |     0 |           0 |               0 |      0 |                 0 |                  0 |                  0 |            0 |     0 |             0 |                      0 |           0 |          0 |                 0 |
| 2020-03-04 00:00:00.000 |     4 |       3 |   2020 |       0 |        0 |           0 |           0 |            0 | Arica y Parinacota |        252110 | Region Arica y Parinacota, Chile |               0 |          0 |                0 |                 0 |              0 |     0 |           0 |               0 |      0 |                 0 |                  0 |                  0 |            0 |     0 |             0 |                      0 |           0 |          0 |                 0 |
| 2020-03-05 00:00:00.000 |     5 |       3 |   2020 |       0 |        0 |           0 |           0 |            0 | Arica y Parinacota |        252110 | Region Arica y Parinacota, Chile |               0 |          0 |                0 |                 0 |              0 |     0 |           0 |               0 |      0 |                 0 |                  0 |                  0 |            0 |     0 |             0 |                      0 |           0 |          0 |                 0 |
| 2020-03-06 00:00:00.000 |     6 |       3 |   2020 |       0 |        0 |           0 |           0 |            0 | Arica y Parinacota |        252110 | Region Arica y Parinacota, Chile |               0 |          0 |                0 |                 0 |              0 |     0 |           0 |               0 |      0 |                 0 |                  0 |                  0 |            0 |     0 |             0 |                      0 |           0 |          0 |                 0 |
| 2020-03-07 00:00:00.000 |     7 |       3 |   2020 |       0 |        0 |           0 |           0 |            0 | Arica y Parinacota |        252110 | Region Arica y Parinacota, Chile |               0 |          0 |                0 |                 0 |              0 |     0 |           0 |               0 |      0 |                 0 |                  0 |                  0 |            0 |     0 |             0 |                      0 |           0 |          0 |                 0 |
| 2020-03-08 00:00:00.000 |     8 |       3 |   2020 |       0 |        0 |           0 |           0 |            0 | Arica y Parinacota |        252110 | Region Arica y Parinacota, Chile |               0 |          0 |                0 |                 0 |              0 |     0 |           0 |               0 |      0 |                 0 |                  0 |                  0 |            0 |     0 |             0 |                      0 |           0 |          0 |                 0 |
| 2020-03-09 00:00:00.000 |     9 |       3 |   2020 |       0 |        0 |           0 |           0 |            0 | Arica y Parinacota |        252110 | Region Arica y Parinacota, Chile |               0 |          0 |                0 |                 0 |              0 |     0 |           0 |               0 |      0 |                 0 |                  0 |                  0 |            0 |     0 |             0 |                      0 |           0 |          0 |                 0 |
| 2020-03-10 00:00:00.000 |    10 |       3 |   2020 |       0 |        0 |           0 |           0 |            0 | Arica y Parinacota |        252110 | Region Arica y Parinacota, Chile |               0 |          0 |                0 |                 0 |              0 |     0 |           0 |               0 |      0 |                 0 |                  0 |                  0 |            0 |     0 |             0 |                      0 |           0 |          0 |                 0 |
| 2020-03-11 00:00:00.000 |    11 |       3 |   2020 |       0 |        0 |           0 |           0 |            0 | Arica y Parinacota |        252110 | Region Arica y Parinacota, Chile |               0 |          0 |                0 |                 0 |              0 |     0 |           0 |               0 |      0 |                 0 |                  0 |                  0 |            0 |     0 |             0 |                      0 |           0 |          0 |                 0 |
| 2020-03-12 00:00:00.000 |    12 |       3 |   2020 |       0 |        0 |           0 |           0 |            0 | Arica y Parinacota |        252110 | Region Arica y Parinacota, Chile |               0 |          0 |                0 |                 0 |              0 |     0 |           0 |               0 |      0 |                 0 |                  0 |                  0 |            0 |     0 |             0 |                      0 |           0 |          0 |                 0 |


Table: FallecidosEtario
| Fecha                   |   Fallecidos | Grupo de edad   |
|:------------------------|-------------:|:----------------|
| 2020-04-09 00:00:00.000 |            2 | <=39            |
| 2020-04-10 00:00:00.000 |            2 | <=39            |
| 2020-04-11 00:00:00.000 |            3 | <=39            |
| 2020-04-12 00:00:00.000 |            3 | <=39            |
| 2020-04-13 00:00:00.000 |            3 | <=39            |
| 2020-04-14 00:00:00.000 |            3 | <=39            |
| 2020-04-15 00:00:00.000 |            3 | <=39            |
| 2020-04-16 00:00:00.000 |            3 | <=39            |
| 2020-04-17 00:00:00.000 |            4 | <=39            |
| 2020-04-18 00:00:00.000 |            4 | <=39            |


Table: Fechas
| covid19_dateRep         |   cases |   cases_acc |   deaths |   deaths_acc |      tasa |   letalidad |
|:------------------------|--------:|------------:|---------:|-------------:|----------:|------------:|
| 2020-02-01 00:00:00.000 |    2111 |       12039 |       46 |          259 | 0.175347  |   0.0215134 |
| 2020-02-02 00:00:00.000 |    4749 |       16788 |      103 |          362 | 0.282881  |   0.021563  |
| 2020-02-03 00:00:00.000 |    3100 |       19888 |       64 |          426 | 0.155873  |   0.02142   |
| 2020-02-04 00:00:00.000 |    4011 |       23899 |       66 |          492 | 0.167831  |   0.0205866 |
| 2020-02-05 00:00:00.000 |    3745 |       27644 |       72 |          564 | 0.135472  |   0.0204023 |
| 2020-02-06 00:00:00.000 |    3160 |       30804 |       70 |          634 | 0.102584  |   0.0205817 |
| 2020-02-07 00:00:00.000 |    3593 |       34397 |       85 |          719 | 0.104457  |   0.020903  |
| 2020-02-08 00:00:00.000 |    2738 |       37135 |       87 |          806 | 0.073731  |   0.0217046 |
| 2020-02-09 00:00:00.000 |    3030 |       40165 |      100 |          906 | 0.0754388 |   0.022557  |
| 2020-02-10 00:00:00.000 |    2609 |       42774 |      107 |         1013 | 0.060995  |   0.0236826 |


Table: Fechas_cl
| covid19_cl_dateRep      |   cases |   cases_acc |   deaths |   deaths_acc |
|:------------------------|--------:|------------:|---------:|-------------:|
| 2020-03-03 00:00:00.000 |       1 |           1 |        0 |            0 |
| 2020-03-04 00:00:00.000 |       2 |           3 |        0 |            0 |
| 2020-03-05 00:00:00.000 |       1 |           4 |        0 |            0 |
| 2020-03-06 00:00:00.000 |       1 |           5 |        0 |            0 |
| 2020-03-07 00:00:00.000 |       2 |           7 |        0 |            0 |
| 2020-03-08 00:00:00.000 |       3 |          10 |        0 |            0 |
| 2020-03-09 00:00:00.000 |       5 |          15 |        0 |            0 |
| 2020-03-10 00:00:00.000 |       2 |          17 |        0 |            0 |
| 2020-03-11 00:00:00.000 |       6 |          23 |        0 |            0 |
| 2020-03-12 00:00:00.000 |      11 |          34 |        0 |            0 |


Table: HospitalizadosUCIEtario
| Fecha                   | Grupo de edad   |   UCI | Grupo de edad ord   |
|:------------------------|:----------------|------:|:--------------------|
| 2020-04-01 00:00:00.000 | <=39            |    23 | 1:<=39              |
| 2020-04-02 00:00:00.000 | <=39            |    23 | 1:<=39              |
| 2020-04-03 00:00:00.000 | <=39            |    26 | 1:<=39              |
| 2020-04-04 00:00:00.000 | <=39            |    40 | 1:<=39              |
| 2020-04-05 00:00:00.000 | <=39            |    40 | 1:<=39              |
| 2020-04-06 00:00:00.000 | <=39            |    38 | 1:<=39              |
| 2020-04-07 00:00:00.000 | <=39            |    39 | 1:<=39              |
| 2020-04-08 00:00:00.000 | <=39            |    42 | 1:<=39              |
| 2020-04-09 00:00:00.000 | <=39            |    46 | 1:<=39              |
| 2020-04-10 00:00:00.000 | <=39            |    45 | 1:<=39              |


Table: NumeroVentiladores
| Fecha                   |   total |   disponibles |   ocupados |
|:------------------------|--------:|--------------:|-----------:|
| 2020-04-14 00:00:00.000 |    1550 |           564 |        986 |
| 2020-04-15 00:00:00.000 |    1563 |           577 |        986 |
| 2020-04-16 00:00:00.000 |    1582 |           569 |       1013 |
| 2020-04-17 00:00:00.000 |    1604 |           579 |       1025 |
| 2020-04-18 00:00:00.000 |    1627 |           588 |       1039 |
| 2020-04-19 00:00:00.000 |    1627 |           570 |       1057 |
| 2020-04-20 00:00:00.000 |    1621 |           538 |       1083 |
| 2020-04-21 00:00:00.000 |    1614 |           521 |       1093 |
| 2020-04-22 00:00:00.000 |    1619 |           545 |       1074 |
| 2020-04-23 00:00:00.000 |    1622 |           536 |       1086 |


Table: Poblacion mundial
|   UID | iso2   | iso3   |   code3 | Country_Region      |     Lat |    Long_ | Combined_Key        |   Population |
|------:|:-------|:-------|--------:|:--------------------|--------:|---------:|:--------------------|-------------:|
|     4 | AF     | AFG    |       4 | Afghanistan         | 3393911 | 67709953 | Afghanistan         |     38928341 |
|     8 | AL     | ALB    |       8 | Albania             |  411533 |   201683 | Albania             |      2877800 |
|    12 | DZ     | DZA    |      12 | Algeria             |  280339 |    16596 | Algeria             |     43851043 |
|    20 | AD     | AND    |      20 | Andorra             |  425063 |    15218 | Andorra             |        77265 |
|    24 | AO     | AGO    |      24 | Angola              | -112027 |   178739 | Angola              |     32866268 |
|    28 | AG     | ATG    |      28 | Antigua and Barbuda |  170608 |  -617964 | Antigua and Barbuda |        97928 |
|    32 | AR     | ARG    |      32 | Argentina           | -384161 |  -636167 | Argentina           |     45195777 |
|    51 | AM     | ARM    |      51 | Armenia             |  400691 |   450382 | Armenia             |      2963234 |
|    40 | AT     | AUT    |      40 | Austria             |  475162 |   145501 | Austria             |      9006400 |
|    31 | AZ     | AZE    |      31 | Azerbaijan          |  401431 |   475769 | Azerbaijan          |     10139175 |


Table: Poblacion_regional
| Region             |   Poblacion |   Codigo region |
|:-------------------|------------:|----------------:|
| Arica y Parinacota |      252110 |              15 |
| Tarapaca           |      382773 |               1 |
| Antofagasta        |      691854 |               2 |
| Atacama            |      314709 |               3 |
| Coquimbo           |      836096 |               4 |
| Valparaiso         |     1960170 |               5 |
| Metropolitana      |     8125072 |              13 |
| O'Higgins          |      991063 |               6 |
| Maule              |     1131939 |               7 |
| Ñuble              |      511551 |              16 |


Table: RaceCovid19
| dateRep                 |   cases |   deaths |   cases_acc |   deaths_acc | countriesAndTerritories   | countryterritoryCode   |   cases_7d |   week |   dias |   poblacion |   cases pm |   deadth pm |   race_pos |   inv racepos |
|:------------------------|--------:|---------:|------------:|-------------:|:--------------------------|:-----------------------|-----------:|-------:|-------:|------------:|-----------:|------------:|-----------:|--------------:|
| 2020-01-22 00:00:00.000 |       0 |        0 |           0 |            0 | Samoa                     | WSM                    |          0 |      0 |      0 |      196130 |          0 |           0 |          2 |      0.757858 |
| 2020-01-23 00:00:00.000 |       0 |        0 |           0 |            0 | Samoa                     | WSM                    |          0 |      0 |      1 |      196130 |          0 |           0 |          2 |      0.757858 |
| 2020-01-24 00:00:00.000 |       0 |        0 |           0 |            0 | Samoa                     | WSM                    |          0 |      0 |      2 |      196130 |          0 |           0 |          2 |      0.757858 |
| 2020-01-25 00:00:00.000 |       0 |        0 |           0 |            0 | Samoa                     | WSM                    |          0 |      0 |      3 |      196130 |          0 |           0 |          2 |      0.757858 |
| 2020-01-26 00:00:00.000 |       0 |        0 |           0 |            0 | Samoa                     | WSM                    |          0 |      1 |      4 |      196130 |          0 |           0 |          2 |      0.757858 |
| 2020-01-27 00:00:00.000 |       0 |        0 |           0 |            0 | Samoa                     | WSM                    |          0 |      1 |      5 |      196130 |          0 |           0 |          2 |      0.757858 |
| 2020-01-28 00:00:00.000 |       0 |        0 |           0 |            0 | Samoa                     | WSM                    |          0 |      1 |      6 |      196130 |          0 |           0 |          2 |      0.757858 |
| 2020-01-29 00:00:00.000 |       0 |        0 |           0 |            0 | Samoa                     | WSM                    |          0 |      1 |      7 |      196130 |          0 |           0 |          2 |      0.757858 |
| 2020-01-30 00:00:00.000 |       0 |        0 |           0 |            0 | Samoa                     | WSM                    |          0 |      1 |      8 |      196130 |          0 |           0 |          2 |      0.757858 |
| 2020-01-31 00:00:00.000 |       0 |        0 |           0 |            0 | Samoa                     | WSM                    |          0 |      1 |      9 |      196130 |          0 |           0 |          2 |      0.757858 |


Table: Totales
| covid19_countryterritoryCode   |   Total cases |   Total deaths |   Total recovered |   Total infected |   Rank |
|:-------------------------------|--------------:|---------------:|------------------:|-----------------:|-------:|
| AFG                            |         54278 |           2354 |             46759 |             5165 |     68 |
| ALB                            |         69238 |           1291 |             41969 |            25978 |     84 |
| DZA                            |        104606 |           2849 |             71127 |            30630 |     61 |
| AND                            |          9308 |             92 |              8399 |              817 |    139 |
| AGO                            |         19093 |            444 |             16921 |             1728 |    103 |
| ATG                            |           190 |              6 |               157 |               27 |    171 |
| ARG                            |       1831681 |          46216 |           1613773 |           171692 |     13 |
| ARM                            |        165221 |           3016 |            153857 |             8348 |     57 |
| AUT                            |        398096 |           7237 |            374824 |            16035 |     39 |
| AZE                            |        228028 |           3044 |            217617 |             7367 |     56 |


Table: ViajesComunas_std
| Fecha                   | Origen    | Destino   |   Viajes |
|:------------------------|:----------|:----------|---------:|
| 2020-03-01 00:00:00.000 | Cerrillos | Nunoa     |      455 |
| 2020-03-02 00:00:00.000 | Cerrillos | Nunoa     |     1883 |
| 2020-03-04 00:00:00.000 | Cerrillos | Nunoa     |     1995 |
| 2020-03-05 00:00:00.000 | Cerrillos | Nunoa     |     2132 |
| 2020-03-06 00:00:00.000 | Cerrillos | Nunoa     |     2062 |
| 2020-03-07 00:00:00.000 | Cerrillos | Nunoa     |      932 |
| 2020-03-08 00:00:00.000 | Cerrillos | Nunoa     |      528 |
| 2020-03-09 00:00:00.000 | Cerrillos | Nunoa     |     1977 |
| 2020-03-10 00:00:00.000 | Cerrillos | Nunoa     |     2132 |
| 2020-03-11 00:00:00.000 | Cerrillos | Nunoa     |     2204 |

 


tables: name: Calendario
data: Calendario.csv
name: CasosGeneroEtario
data: CasosGeneroEtario.csv
name: Comunas
data: Comunas.csv
name: covid19
data: covid19.csv
name: covid19_cl
data: covid19_cl.csv
name: FallecidosEtario
data: FallecidosEtario.csv
name: Fechas
data: Fechas.csv
name: Fechas_cl
data: Fechas_cl.csv
name: HospitalizadosUCIEtario
data: HospitalizadosUCIEtario.csv
name: NumeroVentiladores
data: NumeroVentiladores.csv
name: Poblacion mundial
data: Poblacion mundial.csv
name: Poblacion_regional
data: Poblacion_regional.csv
name: RaceCovid19
data: RaceCovid19.csv
name: Totales
data: Totales.csv
name: ViajesComunas_std
data: ViajesComunas_std.csv
label: covid19_cl
Region
Poblacion_regional
Region
Comunas
Region
Poblacion_regional
Region
output: {
    "joins": [
        {
            "from_table": "covid19_cl",
            "from_column": "Region",
            "to_table": "Poblacion_regional",
            "to_column": "Region"
        },
        {
            "from_table": "Comunas",
            "from_column": "Region",
            "to_table": "Poblacion_regional",
            "to_column": "Region"
        }
    ]
}