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: Abfrage1
|     id | title                                 | overview                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |   popularity |   revenue | posterPath                       | releaseDate   |   voteAvg |   voteCount |   runtime | tagline                   |
|-------:|:--------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------:|----------:|:---------------------------------|:--------------|----------:|------------:|----------:|:--------------------------|
|  20982 | Naruto Shippuden the Movie            | Demons that once almost destroyed the world, are revived by someone. To prevent the world from being destroyed, the demon has to be sealed and the only one who can do it is the shrine maiden Shion from the country of demons, who has two powers; one is sealing demons and the other is predicting the deaths of humans. This time Naruto's mission is to guard Shion, but she predicts Naruto's death. The only way to escape it, is to get away from Shion, which would leave her unguarded, then the demon, whose only goal is to kill Shion will do so, thus meaning the end of the world. Naruto decides to challenge this "prediction of death." |      273.154 |         0 | /vDkct38sSFSWJIATlfJw0l3QOIR.jpg | 2007-08-04    |       7.1 |         328 |        94 |                           |
|  40170 | Mortal Kombat: Rebirth                | MORTAL KOMBAT: REBIRTH is a short film released by Kevin Tancharoen (Director) in 2010. It was originally made as a proof of concept for Tancharoen's pitch to Warner Brothers for a reboot movie franchise. This 8-minute short features an intricate fight scene choreographed by Larnell Stovall. It also reintroduces classic Mortal Kombat characters, including: Jax (Michael Jai White), Sonya Blade (Jeri Ryan), Johnny Cage (Matt Mullins), Scorpion (Ian Anthony Dale), Baraka (Lateef Crowder) and Shang Tsung (James Lew).                                                                                                                     |      280.737 |         0 | /78JIw8JICcPKDIURCJJq2F43iIZ.jpg | 2010-06-08    |       7   |          85 |         8 |                           |
|  42246 | Tom and Jerry: The Fast and the Furry | After being evicted from their old house by Tom's owner for causing major damage, cat and mouse Tom and Jerry enter a race entitled the "Fabulous Super Race" to win a mansion.                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |      346.996 |         0 | /7PeNpz4mDyRqDxMhC0g0FCpVwPB.jpg | 2005-10-11    |       6.9 |         149 |        75 |                           |
|  62717 | Loki - Arnaldo Baptista               | Loki brings the trajectory of Arnaldo Baptista from childhood, passing through the most successful phase as leader of the Mutantes, marriage to singer Rita Lee and then separation. He also goes through the depression that devastated his life after the group ended and that led him to attempt suicide, his solo career, rapprochement with his brother and member of the Mutantes, Sérgio Dias, culminating in the band's return in 2006.                                                                                                                                                                                                            |      227.207 |         0 | /cYl39kCMjP37e39CbJqxWHvf1ez.jpg | 2008-10-17    |       6.9 |           9 |       120 |                           |
| 159211 | The Haunting of Helena                | After a divorce, Sophia moves to the south of Italy with her daughter, Helena. Their new home, an apartment within an austere building of the fascist age, is a chance for them to start a new life. But inside an old storage room hides a mysterious closet and a buried secret. After the loss of Helena’s first baby tooth, a chilling obsession begins and an apparition haunts her sleep...                                                                                                                                                                                                                                                          |      757.778 |         0 | /iB8rf8FYHGlrbmLybCo6Mpg8hNt.jpg | 2013-01-14    |       5.2 |         100 |        87 | She's coming for her.     |
| 317442 | The Last: Naruto the Movie            | Two years after the events of the Fourth Great Ninja War, the moon that Hagoromo Otsutsuki created long ago to seal away the Gedo Statue begins to descend towards the world, threatening to become a meteor that would destroy everything on impact. Amidst this crisis, a direct descendant of Kaguya Otsutsuki named Toneri Otsutsuki attempts to kidnap Hinata Hyuga but ends up abducting her younger sister Hanabi. Naruto and his allies now mount a rescue mission before finding themselves embroiled in a final battle to decide the fate of everything.                                                                                         |      250.033 |         0 | /bAQ8O5Uw6FedtlCbJTutenzPVKd.jpg | 2014-12-06    |       7.8 |         929 |       114 |                           |
| 347201 | Boruto: Naruto the Movie              | Boruto is the son of the 7th Hokage Naruto who completely rejects his father. Behind this, he has feelings of wanting to surpass Naruto, who is respected as a hero. He ends up meeting his father's friend Sasuke, and requests to become... his apprentice!? The curtain on the story of the new generation written by Masashi Kishimoto rises!                                                                                                                                                                                                                                                                                                          |      266.157 |         0 | /1k6iwC4KaPvTBt1JuaqXy3noZRY.jpg | 2015-08-07    |       7.7 |         785 |       100 | Forge your own path.      |
| 379686 | Space Jam: A New Legacy               | When LeBron and his young son Dom are trapped in a digital space by a rogue A.I., LeBron must get them home safe by leading Bugs, Lola Bunny and the whole gang of notoriously undisciplined Looney Tunes to victory over the A.I.'s digitized champions on the court. It's Tunes versus Goons in the highest-stakes challenge of his life.                                                                                                                                                                                                                                                                                                                |      415.694 |         0 | /5bFK5d3mVTAvBCXi5NPWH0tYjKl.jpg | 2021-07-08    |       0   |           0 |       115 | Welcome to the Jam!       |
| 385687 | Fast & Furious 10                     | The tenth installment in the Fast Saga.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |     1562.18  |         0 | /2DyEk84XnbJEdPlGF43crxfdtHH.jpg | 2023-02-01    |       0   |           0 |         0 |                           |
| 412656 | Chaos Walking                         | Two unlikely companions embark on a perilous adventure through the badlands of an unexplored planet as they try to escape a dangerous and disorienting reality, where all inner thoughts are seen and heard by everyone.                                                                                                                                                                                                                                                                                                                                                                                                                                   |      375.201 |         0 | /9kg73Mg8WJKlB9Y2SAJzeDKAnuB.jpg | 2021-02-24    |       7   |         888 |       109 | No one escapes the noise. |


Table: Abfrage3
|   weekNr |   cases-recovered-deaths |
|---------:|-------------------------:|
|       15 |                   298889 |
|       16 |                   313802 |
|       17 |                   312229 |
|       18 |                   282379 |
|       19 |                   229475 |
|       20 |                   173999 |
|       21 |                   118808 |
|       22 |                    70408 |
|       23 |                    57774 |
|       24 |                    39395 |


Table: AvgVoteAvgM
|   weekNr |   avgVoteAvg |
|---------:|-------------:|
|       16 |        6.74  |
|       17 |        6.758 |
|       18 |        6.654 |
|       19 |        6.747 |
|       20 |        6.734 |
|       21 |        6.862 |
|       22 |        6.861 |
|       23 |        6.851 |
|       24 |        6.777 |
|       25 |        6.916 |


Table: AvgVoteAvgS
|   weekNr |   avgVoteAvg |
|---------:|-------------:|
|       24 |        7.902 |
|       16 |        7.995 |
|       17 |        8.01  |
|       18 |        7.994 |
|       19 |        7.976 |
|       20 |        8.015 |
|       21 |        7.932 |
|       22 |        8.029 |
|       23 |        8.051 |
|       25 |        7.965 |


Table: AvgVoteCountM
|   weekNr |   avgVoteCount |
|---------:|---------------:|
|       16 |        2087.29 |
|       17 |        1969.46 |
|       18 |        1883.55 |
|       19 |        1675.37 |
|       20 |        1830.57 |
|       21 |        1796.94 |
|       22 |        1819.34 |
|       23 |        2083.67 |
|       24 |        1869.43 |
|       25 |        2199.81 |


Table: AvgVoteCountS
|   weekNr |   avgVoteCount |
|---------:|---------------:|
|       24 |        2734.23 |
|       16 |        2776.67 |
|       17 |        2807.65 |
|       18 |        2807.39 |
|       19 |        2845.8  |
|       20 |        2966.99 |
|       21 |        2941.15 |
|       22 |        2998.86 |
|       23 |        3019.7  |
|       25 |        2935.34 |


Table: Covid
| cases-LAG(cases) OVER (ORDER BY weekNr ASC)   | deaths-LAG(deaths) OVER (ORDER BY weekNr ASC)   | recovered-LAG(recovered) OVER (ORDER BY weekNr ASC)   |   weekNr | concat("KW ", weekNr)   |
|:----------------------------------------------|:------------------------------------------------|:------------------------------------------------------|---------:|:------------------------|
|                                               |                                                 |                                                       |       15 | KW 15                   |
| 122298                                        | 1038                                            | 106347                                                |       16 | KW 16                   |
| 129847                                        | 1592                                            | 129828                                                |       17 | KW 17                   |
| 106656                                        | 1555                                            | 134951                                                |       18 | KW 18                   |
| 77072                                         | 1378                                            | 128598                                                |       19 | KW 19                   |
| 57825                                         | 1283                                            | 112018                                                |       20 | KW 20                   |
| 36892                                         | 1105                                            | 90978                                                 |       21 | KW 21                   |
| 33855                                         | 530                                             | 81725                                                 |       22 | KW 22                   |
| 1440                                          | 857                                             | 13217                                                 |       23 | KW 23                   |
| 8560                                          | 156                                             | 26783                                                 |       24 | KW 24                   |


Table: CovidAsStrings
|   weekNr | cases      | deaths   | recovered   |
|---------:|:-----------|:---------|:------------|
|       15 |            |          |             |
|       16 | 122.3 Tsd. | 1038     | 106.3 Tsd.  |
|       17 | 129.8 Tsd. | 1592     | 129.8 Tsd.  |
|       18 | 106.7 Tsd. | 1555     | 135.0 Tsd.  |
|       19 | 77.1 Tsd.  | 1378     | 128.6 Tsd.  |
|       20 | 57.8 Tsd.  | 1283     | 112.0 Tsd.  |
|       21 | 36.9 Tsd.  | 1105     | 91.0 Tsd.   |
|       22 | 33.9 Tsd.  | 530      | 81.7 Tsd.   |
|       23 | 1.4 Tsd.   | 857      | 13.2 Tsd.   |
|       24 | 8.6 Tsd.   | 156      | 26.8 Tsd.   |


Table: covidTimeline
|   weekNr |       cases |   deaths |   recovered |
|---------:|------------:|---------:|------------:|
|       15 | 3.15556e+06 |    81111 | 2.77556e+06 |
|       16 | 3.27785e+06 |    82149 | 2.8819e+06  |
|       17 | 3.4077e+06  |    83741 | 3.01173e+06 |
|       18 | 3.51436e+06 |    85296 | 3.14668e+06 |
|       19 | 3.59143e+06 |    86674 | 3.27528e+06 |
|       20 | 3.64925e+06 |    87957 | 3.3873e+06  |
|       21 | 3.68614e+06 |    89062 | 3.47828e+06 |
|       22 | 3.72e+06    |    89592 | 3.56e+06    |
|       23 | 3.72144e+06 |    90449 | 3.57322e+06 |
|       24 | 3.73e+06    |    90605 | 3.6e+06     |


Table: Location
| Titel                                  | countryId   | cname                    |   weekNr |   Popularität |   movieId | AnzahlTrends   |
|:---------------------------------------|:------------|:-------------------------|---------:|--------------:|----------:|:---------------|
| The SpongeBob Movie: Sponge on the Run | US          | United States of America |       25 |       314.491 |    400160 |                |
| Spirit Untamed                         | US          | United States of America |       25 |       329.82  |    637693 |                |
| Jumanji: The Next Level                | US          | United States of America |       25 |       334.879 |    512200 |                |
| Avengers: Endgame                      | US          | United States of America |       25 |       338.204 |    299534 |                |
| Venom                                  | US          | United States of America |       25 |       341.58  |    335983 |                |
| Tom and Jerry: The Fast and the Furry  | US          | United States of America |       25 |       346.996 |     42246 |                |
| Black Widow                            | US          | United States of America |       25 |       347.793 |    497698 |                |
| Extraction                             | US          | United States of America |       25 |       350.946 |    545609 |                |
| Furious 7                              | US          | United States of America |       25 |       360.164 |    168259 |                |
| Cherry                                 | US          | United States of America |       25 |       370.872 |    544401 |                |


Table: MovieCountryTrendWeek
|   weekNr |   popularity | title                   | Land                     | ISO_ID   |
|---------:|-------------:|:------------------------|:-------------------------|:---------|
|       25 |      334.879 | Jumanji: The Next Level | United States of America | US       |
|       25 |      403.544 | Ava                     | United States of America | US       |
|       25 |     8507.03  | Luca                    | United States of America | US       |
|       25 |     6192.12  | Infinite                | United States of America | US       |
|       25 |      675.568 | Soul                    | United States of America | US       |
|       25 |      951.262 | Redemption Day          | United States of America | US       |
|       25 |     2021.16  | Army of the Dead        | United States of America | US       |
|       25 |     1691.17  | Wish Dragon             | United States of America | US       |
|       25 |      517.502 | Outside the Wire        | United States of America | US       |
|       25 |      347.793 | Black Widow             | United States of America | US       |


Table: MovieGenres_Popularity
|   weekNr |   genreId |   AnzahlTrends | Genre           |   Popularität |
|---------:|----------:|---------------:|:----------------|--------------:|
|       16 |        28 |             56 | Action          |      40674.7  |
|       16 |        53 |             34 | Thriller        |      21952.6  |
|       16 |        12 |             30 | Adventure       |      21362.6  |
|       16 |        14 |             29 | Fantasy         |      22090.4  |
|       16 |        18 |             25 | Drama           |      11865.8  |
|       16 |        35 |             24 | Comedy          |      11091.3  |
|       16 |       878 |             22 | Science Fiction |      18545.3  |
|       16 |        16 |             19 | Animation       |      10781.1  |
|       16 |        80 |             18 | Crime           |      12139.6  |
|       16 |     10751 |             14 | Family          |       6778.99 |


Table: MovieProviderWeek
|   weekNr |   count(*) |   provider | pname              |
|---------:|-----------:|-----------:|:-------------------|
|       16 |         20 |          8 | Netflix            |
|       16 |          8 |          9 | Amazon Prime Video |
|       16 |         60 |         10 | Amazon Video       |
|       16 |         11 |         29 | Sky Go             |
|       16 |         11 |         30 | Sky Ticket         |
|       16 |          2 |        175 | Netflix Kids       |
|       16 |         56 |        192 | YouTube            |
|       16 |          9 |        337 | Disney Plus        |
|       17 |         19 |          8 | Netflix            |
|       17 |          8 |          9 | Amazon Prime Video |


Table: movieratings covid
|   weekNr |       cases |   deaths |   recovered |
|---------:|------------:|---------:|------------:|
|       15 | 3.15556e+06 |    81111 | 2.77556e+06 |
|       16 | 3.27785e+06 |    82149 | 2.8819e+06  |
|       17 | 3.4077e+06  |    83741 | 3.01173e+06 |
|       18 | 3.51436e+06 |    85296 | 3.14668e+06 |
|       19 | 3.59143e+06 |    86674 | 3.27528e+06 |
|       20 | 3.64925e+06 |    87957 | 3.3873e+06  |
|       21 | 3.68614e+06 |    89062 | 3.47828e+06 |
|       22 | 3.72e+06    |    89592 | 3.56e+06    |
|       23 | 3.72144e+06 |    90449 | 3.57322e+06 |
|       24 | 3.73e+06    |    90605 | 3.6e+06     |


Table: MovieTrendAge
|   weekNr | agegroups   |   count(*) |
|---------:|:------------|-----------:|
|       16 | 0-19        |         12 |
|       16 | 20-29       |         77 |
|       16 | 30-39       |        144 |
|       16 | 40-49       |        182 |
|       16 | 50-59       |        192 |
|       16 | 60-69       |         88 |
|       16 | 70-79       |         27 |
|       16 | 80<         |         11 |
|       17 | 0-19        |          9 |
|       17 | 20-29       |         73 |


Table: MovieTrendsCountry
|   weekNr |   AnzahlTrends | Land        | ISO_ID   |
|---------:|---------------:|:------------|:---------|
|       16 |              1 | Belgium     | BE       |
|       16 |              1 | Chile       | CL       |
|       16 |              1 | Cyprus      | CY       |
|       16 |              1 | Hungary     | HU       |
|       16 |              1 | Lithuania   | LT       |
|       16 |              1 | Netherlands | NL       |
|       16 |              1 | Russia      | RU       |
|       16 |              1 | Sweden      | SE       |
|       16 |              1 | Thailand    | TH       |
|       17 |              1 | Bolivia     | BO       |


Table: MovieTrendsGender
|   weekNr |   count(*) |   gender |
|---------:|-----------:|---------:|
|       16 |        170 |        0 |
|       16 |        278 |        1 |
|       16 |        694 |        2 |
|       16 |          2 |        3 |
|       17 |        182 |        0 |
|       17 |        267 |        1 |
|       17 |        678 |        2 |
|       17 |          2 |        3 |
|       18 |        190 |        0 |
|       18 |        259 |        1 |


Table: MWP
|   weekNr |   movieId | title                                     |   voteAvg |   popularity |   voteCount |
|---------:|----------:|:------------------------------------------|----------:|-------------:|------------:|
|       16 |    399566 | Godzilla vs. Kong                         |       8.2 |      4459.3  |        4848 |
|       16 |    460465 | Mortal Kombat                             |       8.2 |      3500.81 |         741 |
|       16 |    615678 | Thunder Force                             |       5.8 |      2556.11 |         404 |
|       16 |    791373 | Zack Snyder's Justice League              |       8.5 |      2375.45 |        5096 |
|       16 |    634528 | The Marksman                              |       7.1 |      2163.72 |         149 |
|       16 |    615457 | Nobody                                    |       8.5 |      1931.29 |         689 |
|       16 |    412656 | Chaos Walking                             |       7.4 |      1656.47 |         436 |
|       16 |    632357 | The Unholy                                |       5.5 |      1619.63 |          43 |
|       16 |    527774 | Raya and the Last Dragon                  |       8.3 |      1432.34 |        2399 |
|       16 |    664767 | Mortal Kombat Legends: Scorpion's Revenge |       8.4 |      1221.54 |         863 |


Table: NetworksWeek
|   weekNr |   count(*) |   networkId | nname       |
|---------:|-----------:|------------:|:------------|
|       16 |          1 |          13 | Nickelodeon |
|       16 |          1 |         160 | TBS         |
|       16 |          1 |         183 | RCN         |
|       16 |          1 |         201 | CBC         |
|       16 |          1 |        2326 | Disney XD   |
|       16 |          1 |        2360 | History     |
|       16 |          1 |         303 | FOX         |
|       16 |          1 |         308 | ARD         |
|       16 |          1 |          33 | MTV         |
|       16 |          1 |          80 | Adult Swim  |


Table: ProviderGratis
|   weekNr |   count(*) |
|---------:|-----------:|
|       16 |         50 |
|       17 |         46 |
|       18 |         44 |
|       19 |         42 |
|       20 |         42 |
|       21 |         39 |
|       22 |         39 |
|       23 |         41 |
|       24 |         41 |
|       25 |         40 |


Table: ProviderKostenpflichtig
|   weekNr |   count(*) |
|---------:|-----------:|
|       16 |        127 |
|       17 |        116 |
|       18 |        106 |
|       19 |         96 |
|       20 |         90 |
|       21 |         97 |
|       22 |         86 |
|       23 |         89 |
|       24 |         82 |
|       25 |         94 |


Table: SeriesGenres_Popularity
|   weekNr |   genreId |   Popularität |   AnzahlTrends | Genre              |
|---------:|----------:|--------------:|---------------:|:-------------------|
|       16 |        18 |     29931.3   |             72 | Drama              |
|       16 |     10765 |     16974.1   |             35 | Sci-Fi & Fantasy   |
|       16 |     10759 |     16184     |             35 | Action & Adventure |
|       16 |        80 |      7263.41  |             24 | Crime              |
|       16 |      9648 |      6010.43  |             19 | Mystery            |
|       16 |     10768 |      5315.73  |              2 | War & Politics     |
|       16 |        16 |      4520.35  |             14 | Animation          |
|       16 |        35 |      2995.68  |             15 | Comedy             |
|       16 |     10766 |      1336.36  |              6 | Soap               |
|       16 |     10762 |       947.965 |              3 | Kids               |


Table: SeriesProviderWeek
|   weekNr |   count(*) |   provider | pname              |
|---------:|-----------:|-----------:|:-------------------|
|       16 |          1 |          8 | Netflix            |
|       16 |          3 |          9 | Amazon Prime Video |
|       16 |         14 |         10 | Amazon Video       |
|       16 |          1 |         29 | Sky Go             |
|       16 |          1 |         30 | Sky Ticket         |
|       16 |          1 |        175 | Netflix Kids       |
|       16 |          4 |        192 | YouTube            |
|       16 |          1 |        337 | Disney Plus        |
|       17 |          1 |          8 | Netflix            |
|       17 |          3 |          9 | Amazon Prime Video |


Table: SeriesTrendAge
|   weekNr |   InSeries | agegroups   |
|---------:|-----------:|:------------|
|       16 |         63 | 0-19        |
|       16 |        190 | 20-29       |
|       16 |        186 | 30-39       |
|       16 |        128 | 40-49       |
|       16 |         48 | 50-59       |
|       16 |         14 | 60-69       |
|       16 |          4 | 70-79       |
|       16 |          4 | 80<         |
|       17 |         60 | 0-19        |
|       17 |        184 | 20-29       |


Table: SeriesTrendsCountry
|   weekNr |   AnzahlTrends | Land        | ISO_ID   |
|---------:|---------------:|:------------|:---------|
|       16 |              1 | France      | FR       |
|       16 |              1 | Ireland     | IE       |
|       16 |              1 | Italy       | IT       |
|       17 |              1 | France      | FR       |
|       17 |              1 | Ireland     | IE       |
|       17 |              1 | Italy       | IT       |
|       17 |              1 | South Korea | KR       |
|       17 |              1 | Turkey      | TR       |
|       18 |              1 | Argentina   | AR       |
|       18 |              1 | France      | FR       |


Table: SeriesTrendsGender
|   weekNr |   count(*) |   gender |
|---------:|-----------:|---------:|
|       16 |        205 |        0 |
|       16 |        311 |        1 |
|       16 |        495 |        2 |
|       16 |          1 |        3 |
|       17 |        204 |        0 |
|       17 |        303 |        1 |
|       17 |        504 |        2 |
|       17 |          1 |        3 |
|       18 |        201 |        0 |
|       18 |        285 |        1 |


Table: SWP
|   weekNr |   seriesId | title                |   voteAvg |   popularity |   voteCount |
|---------:|-----------:|:---------------------|----------:|-------------:|------------:|
|       16 |       1416 | Grey's Anatomy       |       8.2 |     1016.61  |        5905 |
|       16 |      76669 | Elite                |       8.2 |      313.803 |        6304 |
|       16 |       1622 | Supernatural         |       8.2 |      272.073 |        5035 |
|       16 |       4604 | Smallville           |       8.2 |      263.146 |        2365 |
|       16 |     104877 | You Knock on My Door |       8.2 |      253.201 |         229 |
|       16 |      76773 | Station 19           |       8.2 |      223.366 |         781 |
|       16 |      60797 | Scorpion             |       8.2 |      223.169 |        2290 |
|       16 |      12971 | Dragon Ball Z        |       8.2 |      220.251 |        2232 |
|       16 |       4057 | Criminal Minds       |       8.2 |      189.969 |        2281 |
|       16 |      16286 | Yo soy Betty, la fea |       8.2 |      173.603 |        2003 |


Table: Top2MovieGenders
|   weekNr |   popularity | title             |   gender |   count(*) | geschlecht   |
|---------:|-------------:|:------------------|---------:|-----------:|:-------------|
|       16 |      3500.81 | Mortal Kombat     |        0 |          1 | unbekannt    |
|       16 |      3500.81 | Mortal Kombat     |        1 |          1 | weiblich     |
|       16 |      3500.81 | Mortal Kombat     |        2 |         10 | männlich     |
|       17 |      3086.89 | Godzilla vs. Kong |        1 |          4 | weiblich     |
|       17 |      3086.89 | Godzilla vs. Kong |        2 |          8 | männlich     |
|       18 |      2341.55 | Godzilla vs. Kong |        1 |          4 | weiblich     |
|       18 |      2341.55 | Godzilla vs. Kong |        2 |          8 | männlich     |
|       19 |      2747.43 | Mortal Kombat     |        0 |          1 | unbekannt    |
|       19 |      2747.43 | Mortal Kombat     |        1 |          1 | weiblich     |
|       19 |      2747.43 | Mortal Kombat     |        2 |         10 | männlich     |


Table: Top2SeriesGender
|   weekNr |   popularity | title                             |   gender |   count(*) | geschlecht   |
|---------:|-------------:|:----------------------------------|---------:|-----------:|:-------------|
|       16 |     1704.74  | The Good Doctor                   |        1 |          4 | weiblich     |
|       16 |     1704.74  | The Good Doctor                   |        2 |          5 | männlich     |
|       17 |     1462.94  | The Good Doctor                   |        1 |          4 | weiblich     |
|       17 |     1462.94  | The Good Doctor                   |        2 |          5 | männlich     |
|       18 |     1727.11  | The Falcon and the Winter Soldier |        0 |          3 | unbekannt    |
|       18 |     1727.11  | The Falcon and the Winter Soldier |        1 |          5 | weiblich     |
|       18 |     1727.11  | The Falcon and the Winter Soldier |        2 |          8 | männlich     |
|       19 |      879.932 | The Flash                         |        0 |          6 | unbekannt    |
|       19 |      879.932 | The Flash                         |        1 |          5 | weiblich     |
|       19 |      879.932 | The Flash                         |        2 |          5 | männlich     |


Table: Top3MovieGenders
|   weekNr |   popularity | title                                                  |   gender |   count(*) | geschlecht   |
|---------:|-------------:|:-------------------------------------------------------|---------:|-----------:|:-------------|
|       16 |      2556.11 | Thunder Force                                          |        0 |          2 | unbekannt    |
|       16 |      2556.11 | Thunder Force                                          |        1 |          6 | weiblich     |
|       16 |      2556.11 | Thunder Force                                          |        2 |          4 | männlich     |
|       17 |      2777.87 | Demon Slayer -Kimetsu no Yaiba- The Movie: Mugen Train |        1 |          2 | weiblich     |
|       17 |      2777.87 | Demon Slayer -Kimetsu no Yaiba- The Movie: Mugen Train |        2 |         10 | männlich     |
|       18 |      1971.55 | Nobody                                                 |        1 |          2 | weiblich     |
|       18 |      1971.55 | Nobody                                                 |        2 |         10 | männlich     |
|       19 |      1979.64 | Vanquish                                               |        0 |          1 | unbekannt    |
|       19 |      1979.64 | Vanquish                                               |        1 |          3 | weiblich     |
|       19 |      1979.64 | Vanquish                                               |        2 |          8 | männlich     |


Table: Top3SeriesGender
|   weekNr |   popularity | title           |   gender |   count(*) | geschlecht   |
|---------:|-------------:|:----------------|---------:|-----------:|:-------------|
|       16 |      1423.81 | The Flash       |        0 |          6 | unbekannt    |
|       16 |      1423.81 | The Flash       |        1 |          5 | weiblich     |
|       16 |      1423.81 | The Flash       |        2 |          5 | männlich     |
|       17 |      1245.7  | The Flash       |        0 |          6 | unbekannt    |
|       17 |      1245.7  | The Flash       |        1 |          5 | weiblich     |
|       17 |      1245.7  | The Flash       |        2 |          5 | männlich     |
|       18 |      1293.39 | The Flash       |        0 |          6 | unbekannt    |
|       18 |      1293.39 | The Flash       |        1 |          5 | weiblich     |
|       18 |      1293.39 | The Flash       |        2 |          5 | männlich     |
|       19 |       870.23 | The Good Doctor |        1 |          4 | weiblich     |


Table: TopMovie
|   weekNr |   movieId | title                        |     max | GROUP_CONCAT(g.genre SEPARATOR ', ')                  | concat(mwp.voteAvg, "/10")   |
|---------:|----------:|:-----------------------------|--------:|:------------------------------------------------------|:-----------------------------|
|       16 |    399566 | Godzilla vs. Kong            | 4459.3  | Science Fiction, Action                               | 8.2/10                       |
|       17 |    460465 | Mortal Kombat                | 6983.02 | Adventure, Science Fiction, Fantasy, Action, Thriller | 7.9/10                       |
|       18 |    460465 | Mortal Kombat                | 4870.2  | Adventure, Fantasy, Action, Thriller, Science Fiction | 7.8/10                       |
|       19 |    567189 | Tom Clancy's Without Remorse | 4918.31 | Action, Adventure, War, Thriller                      | 7.3/10                       |
|       20 |    460465 | Mortal Kombat                | 2112.76 | Adventure, Fantasy, Action, Thriller, Science Fiction | 7.6/10                       |
|       21 |    632357 | The Unholy                   | 5972.41 | Horror                                                | 7.2/10                       |
|       22 |    337404 | Cruella                      | 6077.17 | Comedy, Crime                                         | 8.7/10                       |
|       23 |    337404 | Cruella                      | 5055.01 | Crime, Comedy                                         | 8.7/10                       |
|       24 |    337404 | Cruella                      | 5043.81 | Comedy, Crime                                         | 8.6/10                       |
|       25 |    508943 | Luca                         | 8507.03 | Fantasy, Animation, Comedy, Family                    | 8.2/10                       |


Table: TopMovieAge0
|   weekNr |   max(mwp.popularity) | title                        | releaseDate   |
|---------:|----------------------:|:-----------------------------|:--------------|
|       16 |               4459.3  | Godzilla vs. Kong            | 2021-03-24    |
|       17 |               6983.02 | Mortal Kombat                | 2021-04-07    |
|       18 |               4870.2  | Mortal Kombat                | 2021-04-07    |
|       19 |               4918.31 | Tom Clancy's Without Remorse | 2021-04-29    |
|       20 |               2112.76 | Mortal Kombat                | 2021-04-07    |
|       21 |               5972.41 | The Unholy                   | 2021-03-31    |
|       22 |               6077.17 | Cruella                      | 2021-05-26    |
|       23 |               5055.01 | Cruella                      | 2021-05-26    |
|       24 |               5043.81 | Cruella                      | 2021-05-26    |
|       25 |               8507.03 | Luca                         | 2021-06-17    |


Table: TopMovieAge1
|   weekNr |   max(mwp.popularity) | title                                     | releaseDate   |
|---------:|----------------------:|:------------------------------------------|:--------------|
|       16 |              1221.54  | Mortal Kombat Legends: Scorpion's Revenge | 2020-04-12    |
|       17 |               810.288 | Mortal Kombat Legends: Scorpion's Revenge | 2020-04-12    |
|       18 |               655.951 | Benny Loves You                           | 2019-11-21    |
|       19 |               328.046 | Ashfall                                   | 2019-12-19    |
|       20 |               473.926 | Ashfall                                   | 2019-12-19    |
|       21 |               708.777 | Benny Loves You                           | 2019-11-21    |
|       22 |               550.644 | Ashfall                                   | 2019-12-19    |
|       23 |               538.19  | Ashfall                                   | 2019-12-19    |
|       24 |               608.592 | Ashfall                                   | 2019-12-19    |
|       25 |              1230.6   | Fast & Furious Presents: Hobbs & Shaw     | 2019-08-01    |


Table: TopMovieAge15+
|   weekNr |   max(mwp.popularity) | title         | releaseDate   |
|---------:|----------------------:|:--------------|:--------------|
|       16 |               4459.3  | Mortal Kombat | 1995-08-18    |
|       17 |               6983.02 | /             | /             |
|       18 |               4870.2  | /             | /             |
|       19 |               4918.31 | /             | /             |
|       20 |               2112.76 | /             | /             |
|       21 |               5972.41 | /             | /             |
|       22 |               6077.17 | /             | /             |
|       23 |               5055.01 | /             | /             |
|       24 |               5043.81 | /             | /             |
|       25 |               8507.03 | /             | /             |


Table: TopMovieAge15
|   weekNr |   max(mwp.popularity) | title                      | releaseDate   |
|---------:|----------------------:|:---------------------------|:--------------|
|       16 |               309.55  | Naruto Shippuden the Movie | 2007-08-04    |
|       17 |               316.234 | Naruto Shippuden the Movie | 2007-08-04    |
|       18 |               263.47  | Naruto Shippuden the Movie | 2007-08-04    |
|       19 |               137.468 | Naruto Shippuden the Movie | 2007-08-04    |
|       20 |               233.093 | Naruto Shippuden the Movie | 2007-08-04    |
|       21 |               277.513 | The Conjuring              | 2013-03-20    |
|       22 |               574.173 | The Conjuring              | 2013-03-20    |
|       23 |               469.22  | The Conjuring              | 2013-03-20    |
|       24 |               553.022 | The Conjuring              | 2013-03-20    |
|       25 |               865.463 | The Haunting of Helena     | 2013-01-14    |


Table: TopMovieAge2
|   weekNr |   max(mwp.popularity) | title                          | releaseDate   |
|---------:|----------------------:|:-------------------------------|:--------------|
|       16 |               272.135 | Godzilla: King of the Monsters | 2019-05-29    |
|       17 |               250.137 | Avengers: Endgame              | 2019-04-24    |
|       18 |               225.361 | Avengers: Endgame              | 2019-04-24    |
|       19 |               240.302 | Venom                          | 2018-09-28    |
|       20 |               271.469 | Venom                          | 2018-09-28    |
|       21 |               267.54  | Venom                          | 2018-09-28    |
|       22 |               251.013 | Venom                          | 2018-09-28    |
|       23 |               262.399 | Venom                          | 2018-09-28    |
|       24 |               270.552 | Avengers: Endgame              | 2019-04-24    |
|       25 |               341.58  | Venom                          | 2018-09-28    |


Table: TopMovieAge7
|   weekNr |   max(mwp.popularity) | title                   | releaseDate   |
|---------:|----------------------:|:------------------------|:--------------|
|       16 |               289.469 | Avengers: Infinity War  | 2018-04-25    |
|       17 |               305.202 | Avengers: Infinity War  | 2018-04-25    |
|       18 |               268.906 | Avengers: Infinity War  | 2018-04-25    |
|       19 |               163.68  | Avengers: Infinity War  | 2018-04-25    |
|       20 |               244.571 | Avengers: Infinity War  | 2018-04-25    |
|       21 |               313.352 | A Quiet Place           | 2018-04-03    |
|       22 |               721.812 | The Conjuring 2         | 2016-05-13    |
|       23 |               729.368 | A Quiet Place           | 2018-04-03    |
|       24 |               700.549 | A Quiet Place           | 2018-04-03    |
|       25 |              1022.47  | The Fate of the Furious | 2017-04-12    |


Table: TopMovieGenders
|   weekNr |   popularity | title                        |   gender |   count(*) | geschlecht   |
|---------:|-------------:|:-----------------------------|---------:|-----------:|:-------------|
|       16 |      4459.3  | Godzilla vs. Kong            |        1 |          4 | weiblich     |
|       16 |      4459.3  | Godzilla vs. Kong            |        2 |          8 | männlich     |
|       17 |      6983.02 | Mortal Kombat                |        0 |          1 | unbekannt    |
|       17 |      6983.02 | Mortal Kombat                |        1 |          1 | weiblich     |
|       17 |      6983.02 | Mortal Kombat                |        2 |         10 | männlich     |
|       18 |      4870.2  | Mortal Kombat                |        0 |          1 | unbekannt    |
|       18 |      4870.2  | Mortal Kombat                |        1 |          1 | weiblich     |
|       18 |      4870.2  | Mortal Kombat                |        2 |         10 | männlich     |
|       19 |      4918.31 | Tom Clancy's Without Remorse |        0 |          1 | unbekannt    |
|       19 |      4918.31 | Tom Clancy's Without Remorse |        1 |          4 | weiblich     |


Table: TopPersonWeekGender
|   weekNr |   gender | name                       | Job            |
|---------:|---------:|:---------------------------|:---------------|
|       16 |        2 | Jason Statham              | Schauspieler   |
|       16 |        1 | Scarlett Johansson         | Schauspielerin |
|       17 |        2 | Keanu Reeves               | Schauspieler   |
|       17 |        1 | Scarlett Johansson         | Schauspielerin |
|       18 |        2 | Jason Statham              | Schauspieler   |
|       18 |        1 | Scarlett Johansson         | Schauspielerin |
|       19 |        2 | Philippe Leroy             | Schauspieler   |
|       19 |        1 | Scarlett Johansson         | Schauspielerin |
|       20 |        2 | Ángel 'Angelito' Rodríguez | Crew           |
|       20 |        1 | Angelina Jolie             | Schauspielerin |


Table: TopSeries
|   weekNr |   seriesId | title                             |     max | GROUP_CONCAT(g.genre SEPARATOR ', ')                        | concat(swp.voteAvg,"/10")   |
|---------:|-----------:|:----------------------------------|--------:|:------------------------------------------------------------|:----------------------------|
|       16 |      88396 | The Falcon and the Winter Soldier | 5146.16 | Action & Adventure, Drama, War & Politics, Sci-Fi & Fantasy | 7.9/10                      |
|       17 |      88396 | The Falcon and the Winter Soldier | 2580.79 | Action & Adventure, Drama, War & Politics, Sci-Fi & Fantasy | 7.9/10                      |
|       18 |      95557 | Invincible                        | 1885.16 | Animation, Action & Adventure, Drama                        | 8.9/10                      |
|       19 |      88396 | The Falcon and the Winter Soldier | 1013.58 | Action & Adventure, War & Politics, Drama, Sci-Fi & Fantasy | 7.9/10                      |
|       20 |     120168 | Who Killed Sara?                  | 1527.66 | Drama, Crime, Mystery                                       | 7.8/10                      |
|       21 |      63174 | Lucifer                           | 1461.07 | Sci-Fi & Fantasy, Crime                                     | 8.5/10                      |
|       22 |      63174 | Lucifer                           | 1464.51 | Sci-Fi & Fantasy, Crime                                     | 8.5/10                      |
|       23 |      84958 | Loki                              | 1926.33 | Drama, Action & Adventure, Crime, Sci-Fi & Fantasy          | 8.2/10                      |
|       24 |      84958 | Loki                              | 6982.35 | Drama, Crime, Sci-Fi & Fantasy, Action & Adventure          | 8.1/10                      |
|       25 |      84958 | Loki                              | 5314.04 | Drama, Action & Adventure, Crime, Sci-Fi & Fantasy          | 8.1/10                      |


Table: TopSeriesGender
|   weekNr |   popularity | title                             |   gender |   count(*) | geschlecht   |
|---------:|-------------:|:----------------------------------|---------:|-----------:|:-------------|
|       16 |      5146.16 | The Falcon and the Winter Soldier |        0 |          3 | unbekannt    |
|       16 |      5146.16 | The Falcon and the Winter Soldier |        1 |          5 | weiblich     |
|       16 |      5146.16 | The Falcon and the Winter Soldier |        2 |          8 | männlich     |
|       17 |      2580.79 | The Falcon and the Winter Soldier |        0 |          3 | unbekannt    |
|       17 |      2580.79 | The Falcon and the Winter Soldier |        1 |          5 | weiblich     |
|       17 |      2580.79 | The Falcon and the Winter Soldier |        2 |          8 | männlich     |
|       18 |      1885.16 | Invincible                        |        0 |          2 | unbekannt    |
|       18 |      1885.16 | Invincible                        |        1 |          2 | weiblich     |
|       18 |      1885.16 | Invincible                        |        2 |          7 | männlich     |
|       19 |      1013.58 | The Falcon and the Winter Soldier |        0 |          3 | unbekannt    |


Table: TrendsAgeGroupsWeek
|   weekNr |   weekNr2 |   count |   InSeries | agegroups   |
|---------:|----------:|--------:|-----------:|:------------|
|       16 |        16 |      12 |         63 | 0-19        |
|       16 |        16 |      77 |        190 | 20-29       |
|       16 |        16 |     144 |        186 | 30-39       |
|       16 |        16 |     182 |        128 | 40-49       |
|       16 |        16 |     192 |         48 | 50-59       |
|       16 |        16 |      88 |         14 | 60-69       |
|       16 |        16 |      27 |          4 | 70-79       |
|       16 |        16 |      11 |          4 | 80<         |
|       17 |        17 |       9 |         60 | 0-19        |
|       17 |        17 |      73 |        184 | 20-29       |


Table: TrendsWochentag
|   weekNr |   count(*) |   wind | tag        |
|---------:|-----------:|-------:|:-----------|
|       16 |         41 |      4 | Freitag    |
|       16 |         21 |      2 | Mittwoch   |
|       16 |         21 |      3 | Donnerstag |
|       16 |          6 |      1 | Dienstag   |
|       16 |          5 |      5 | Samstag    |
|       16 |          3 |      0 | Montag     |
|       16 |          3 |      6 | Sonntag    |
|       17 |         39 |      4 | Freitag    |
|       17 |         22 |      3 | Donnerstag |
|       17 |         18 |      2 | Mittwoch   |

 


tables: name: Abfrage1
data: Abfrage1.csv
name: Abfrage3
data: Abfrage3.csv
name: AvgVoteAvgM
data: AvgVoteAvgM.csv
name: AvgVoteAvgS
data: AvgVoteAvgS.csv
name: AvgVoteCountM
data: AvgVoteCountM.csv
name: AvgVoteCountS
data: AvgVoteCountS.csv
name: Covid
data: Covid.csv
name: CovidAsStrings
data: CovidAsStrings.csv
name: covidTimeline
data: covidTimeline.csv
name: Location
data: Location.csv
name: MovieCountryTrendWeek
data: MovieCountryTrendWeek.csv
name: MovieGenres_Popularity
data: MovieGenres_Popularity.csv
name: MovieProviderWeek
data: MovieProviderWeek.csv
name: movieratings covid
data: movieratings covid.csv
name: MovieTrendAge
data: MovieTrendAge.csv
name: MovieTrendsCountry
data: MovieTrendsCountry.csv
name: MovieTrendsGender
data: MovieTrendsGender.csv
name: MWP
data: MWP.csv
name: NetworksWeek
data: NetworksWeek.csv
name: ProviderGratis
data: ProviderGratis.csv
name: ProviderKostenpflichtig
data: ProviderKostenpflichtig.csv
name: SeriesGenres_Popularity
data: SeriesGenres_Popularity.csv
name: SeriesProviderWeek
data: SeriesProviderWeek.csv
name: SeriesTrendAge
data: SeriesTrendAge.csv
name: SeriesTrendsCountry
data: SeriesTrendsCountry.csv
name: SeriesTrendsGender
data: SeriesTrendsGender.csv
name: SWP
data: SWP.csv
name: Top2MovieGenders
data: Top2MovieGenders.csv
name: Top2SeriesGender
data: Top2SeriesGender.csv
name: Top3MovieGenders
data: Top3MovieGenders.csv
name: Top3SeriesGender
data: Top3SeriesGender.csv
name: TopMovie
data: TopMovie.csv
name: TopMovieAge0
data: TopMovieAge0.csv
name: TopMovieAge1
data: TopMovieAge1.csv
name: TopMovieAge15+
data: TopMovieAge15+.csv
name: TopMovieAge15
data: TopMovieAge15.csv
name: TopMovieAge2
data: TopMovieAge2.csv
name: TopMovieAge7
data: TopMovieAge7.csv
name: TopMovieGenders
data: TopMovieGenders.csv
name: TopPersonWeekGender
data: TopPersonWeekGender.csv
name: TopSeries
data: TopSeries.csv
name: TopSeriesGender
data: TopSeriesGender.csv
name: TrendsAgeGroupsWeek
data: TrendsAgeGroupsWeek.csv
name: TrendsWochentag
data: TrendsWochentag.csv
label: Covid
weekNr
movieratings covid
weekNr
Abfrage3
weekNr
movieratings covid
weekNr
MWP
weekNr
Covid
weekNr
SWP
weekNr
Covid
weekNr
TopSeries
weekNr
Covid
weekNr
Covid
weekNr
TopMovie
weekNr
MovieGenres_Popularity
weekNr
Covid
weekNr
SeriesGenres_Popularity
weekNr
Covid
weekNr
MovieTrendsGender
weekNr
Covid
weekNr
SeriesTrendsGender
weekNr
Covid
weekNr
MovieTrendsCountry
weekNr
Covid
weekNr
SeriesTrendsCountry
weekNr
Covid
weekNr
Covid
weekNr
CovidAsStrings
weekNr
MovieCountryTrendWeek
weekNr
Covid
weekNr
Location
weekNr
Covid
weekNr
MovieTrendAge
weekNr
Covid
weekNr
TopPersonWeekGender
weekNr
Covid
weekNr
SeriesTrendAge
weekNr
Covid
weekNr
TrendsAgeGroupsWeek
weekNr
Covid
weekNr
TopMovieGenders
weekNr
Covid
weekNr
TopSeriesGender
weekNr
Covid
weekNr
Top2MovieGenders
weekNr
Covid
weekNr
Top3MovieGenders
weekNr
Covid
weekNr
Top2SeriesGender
weekNr
Covid
weekNr
Top3SeriesGender
weekNr
Covid
weekNr
TrendsWochentag
weekNr
Covid
weekNr
TopMovieAge0
weekNr
Covid
weekNr
Covid
weekNr
TopMovieAge1
weekNr
TopMovieAge2
weekNr
Covid
weekNr
TopMovieAge7
weekNr
Covid
weekNr
TopMovieAge15
weekNr
Covid
weekNr
TopMovieAge15+
weekNr
Covid
weekNr
MovieProviderWeek
weekNr
Covid
weekNr
AvgVoteCountM
weekNr
AvgVoteCountS
weekNr
AvgVoteAvgM
weekNr
AvgVoteAvgS
weekNr
SeriesProviderWeek
weekNr
Covid
weekNr
NetworksWeek
weekNr
Covid
weekNr
ProviderGratis
weekNr
Covid
weekNr
ProviderKostenpflichtig
weekNr
Covid
weekNr
output: {
    "joins": [
        {
            "from_table": "Covid",
            "from_column": "weekNr",
            "to_table": "movieratings covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "Abfrage3",
            "from_column": "weekNr",
            "to_table": "movieratings covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "MWP",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "SWP",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "TopSeries",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "Covid",
            "from_column": "weekNr",
            "to_table": "TopMovie",
            "to_column": "weekNr"
        },
        {
            "from_table": "MovieGenres_Popularity",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "SeriesGenres_Popularity",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "MovieTrendsGender",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "SeriesTrendsGender",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "MovieTrendsCountry",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "SeriesTrendsCountry",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "Covid",
            "from_column": "weekNr",
            "to_table": "CovidAsStrings",
            "to_column": "weekNr"
        },
        {
            "from_table": "MovieCountryTrendWeek",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "Location",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "MovieTrendAge",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "TopPersonWeekGender",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "SeriesTrendAge",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "TrendsAgeGroupsWeek",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "TopMovieGenders",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "TopSeriesGender",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "Top2MovieGenders",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "Top3MovieGenders",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "Top2SeriesGender",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "Top3SeriesGender",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "TrendsWochentag",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "TopMovieAge0",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "Covid",
            "from_column": "weekNr",
            "to_table": "TopMovieAge1",
            "to_column": "weekNr"
        },
        {
            "from_table": "TopMovieAge2",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "TopMovieAge7",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "TopMovieAge15",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "TopMovieAge15+",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "MovieProviderWeek",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "AvgVoteCountM",
            "from_column": "weekNr",
            "to_table": "AvgVoteCountS",
            "to_column": "weekNr"
        },
        {
            "from_table": "AvgVoteAvgM",
            "from_column": "weekNr",
            "to_table": "AvgVoteAvgS",
            "to_column": "weekNr"
        },
        {
            "from_table": "SeriesProviderWeek",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "NetworksWeek",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "ProviderGratis",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        },
        {
            "from_table": "ProviderKostenpflichtig",
            "from_column": "weekNr",
            "to_table": "Covid",
            "to_column": "weekNr"
        }
    ]
}