# KernelTags.csv: shape ≈ (907650, 3)
# ModelVariations.csv: shape ≈ (22781, 8)
# KernelVersionCompetitionSources.csv: shape ≈ (4771868, 3)
# Datasets.csv: shape ≈ (492423, 16)
# KernelVersionKernelSources.csv: shape ≈ (1093072, 3)
# KernelVotes.csv: shape ≈ (5778886, 4)
# Submissions.csv: shape ≈ (15990849, 12)
# KernelLanguages.csv: shape ≈ (10, 4)
# Users.csv: shape ≈ (24569381, 7)
# ForumMessageVotes.csv: shape ≈ (3718352, 5)
# Competitions.csv: shape ≈ (858998, 48)
# DatasetTaskSubmissions.csv: shape ≈ (10245, 7)
# UserAchievements.csv: shape ≈ (98277320, 11)
# UserOrganizations.csv: shape ≈ (3822, 4)
# Teams.csv: shape ≈ (8147268, 14)
# UserFollowers.csv: shape ≈ (1701027, 4)
# CompetitionTags.csv: shape ≈ (1118, 3)
# Kernels.csv: shape ≈ (1491776, 16)
# Organizations.csv: shape ≈ (2328, 5)
# Datasources.csv: shape ≈ (515192, 5)
# ModelVersions.csv: shape ≈ (132947, 9)
# ForumTopics.csv: shape ≈ (457546, 13)
# DatasetVersions.csv: shape ≈ (11276099, 14)
# ModelVotes.csv: shape ≈ (38321, 4)
# DatasetVotes.csv: shape ≈ (2218707, 4)
# TeamMemberships.csv: shape ≈ (8331122, 4)
# Forums.csv: shape ≈ (548637, 3)
# KernelVersions.csv: shape ≈ (14938135, 23)
# ModelVariationVersions.csv: shape ≈ (289133, 10)
# ForumMessages.csv: shape ≈ (13448131, 9)
# KernelVersionDatasetSources.csv: shape ≈ (10033867, 3)
# Episodes.csv: shape ≈ (71251157, 5)
# EpisodeAgents.csv: shape ≈ (158297376, 10)
# KernelAcceleratorTypes.csv: shape ≈ (10, 2)
# KernelVersionModelSources.csv: shape ≈ (318429, 4)
# ForumMessageReactions.csv: shape ≈ (131777, 5)
# Tags.csv: shape ≈ (824, 9)
# DatasetTasks.csv: shape ≈ (39854, 10)
# Models.csv: shape ≈ (20736, 11)
# DatasetTags.csv: shape ≈ (426023, 3)
# ModelTags.csv: shape ≈ (7510, 3)

well these are teh dataset availabeklk for a competitons. https://www.kaggle.com/competitions/meta-kaggle-hackathon

i have made a a,ediation analysis oif the compettitioos dataset to see wehat factros m,akes certain copetitons mopre lucrative an dbetter. 

i wnat you to find pr grpup thE datasets together that can be be explored for the purpose of findoing the pattern of kaggle


here i am going top excplore the dataset section with the folwoing datasets # KernelTags.csv: shape ≈ (907650, 3)
# ModelVariations.csv: shape ≈ (22781, 8)
# KernelVersionCompetitionSources.csv: shape ≈ (4771868, 3)
# Datasets.csv: shape ≈ (492423, 16)
# KernelVersionKernelSources.csv: shape ≈ (1093072, 3)
# KernelVotes.csv: shape ≈ (5778886, 4)
# Submissions.csv: shape ≈ (15990849, 12)
# KernelLanguages.csv: shape ≈ (10, 4)
# Users.csv: shape ≈ (24569381, 7)
# ForumMessageVotes.csv: shape ≈ (3718352, 5)
# Competitions.csv: shape ≈ (858998, 48)
# DatasetTaskSubmissions.csv: shape ≈ (10245, 7)
# UserAchievements.csv: shape ≈ (98277320, 11)
# UserOrganizations.csv: shape ≈ (3822, 4)
# Teams.csv: shape ≈ (8147268, 14)
# UserFollowers.csv: shape ≈ (1701027, 4)
# CompetitionTags.csv: shape ≈ (1118, 3)
# Kernels.csv: shape ≈ (1491776, 16)
# Organizations.csv: shape ≈ (2328, 5)
# Datasources.csv: shape ≈ (515192, 5)
# ModelVersions.csv: shape ≈ (132947, 9)
# ForumTopics.csv: shape ≈ (457546, 13)
# DatasetVersions.csv: shape ≈ (11276099, 14)
# ModelVotes.csv: shape ≈ (38321, 4)
# DatasetVotes.csv: shape ≈ (2218707, 4)
# TeamMemberships.csv: shape ≈ (8331122, 4)
# Forums.csv: shape ≈ (548637, 3)
# KernelVersions.csv: shape ≈ (14938135, 23)
# ModelVariationVersions.csv: shape ≈ (289133, 10)
# ForumMessages.csv: shape ≈ (13448131, 9)
# KernelVersionDatasetSources.csv: shape ≈ (10033867, 3)
# Episodes.csv: shape ≈ (71251157, 5)
# EpisodeAgents.csv: shape ≈ (158297376, 10)
# KernelAcceleratorTypes.csv: shape ≈ (10, 2)
# KernelVersionModelSources.csv: shape ≈ (318429, 4)
# ForumMessageReactions.csv: shape ≈ (131777, 5)
# Tags.csv: shape ≈ (824, 9)
# DatasetTasks.csv: shape ≈ (39854, 10)
# Models.csv: shape ≈ (20736, 11)
# DatasetTags.csv: shape ≈ (426023, 3)
# ModelTags.csv: shape ≈ (7510, 3)

well these are teh dataset availabeklk for a competitons. https://www.kaggle.com/competitions/meta-kaggle-hackathon

i have made a mediation analysis oif the compettitioos dataset to see wehat factros m,akes certain copetitons mopre lucrative an dbetter. 

datasetTags_df = load_data("DatasetTags.csv")
datasetTaskSubmissions_df = load_data("DatasetTaskSubmissions.csv")
datasetTasks_df = load_data("DatasetTasks.csv")
datasetVersions_df = load_data("DatasetVersions.csv")
datasetVotes_df = load_data("DatasetVotes.csv")
datasets_df = load_data("Datasets.csv")
datasourrces_df = load_data("Datasources.csv").


these colusmnn infromartion. 
--------------------------------------------------
DataFrame: DatasetTags
Shape: (427567, 3)
Columns:
  - Id
  - DatasetId
  - TagId

--------------------------------------------------
DataFrame: DatasetTaskSubmissions
Shape: (10245, 7)
Columns:
  - Id
  - DatasetTaskId
  - SubmittedUserId
  - CreationDate
  - KernelId
  - DatasetId
  - AcceptedDate

--------------------------------------------------
DataFrame: DatasetTasks
Shape: (5199, 10)
Columns:
  - Id
  - DatasetId
  - OwnerUserId
  - CreationDate
  - Description
  - ForumId
  - Title
  - Subtitle
  - Deadline
  - TotalVotes

--------------------------------------------------
DataFrame: DatasetVersions
Shape: (1269959, 14)
Columns:
  - Id
  - DatasetId
  - DatasourceVersionId
  - CreatorUserId
  - LicenseName
  - CreationDate
  - VersionNumber
  - Title
  - Slug
  - Subtitle
  - Description
  - VersionNotes
  - TotalCompressedBytes
  - TotalUncompressedBytes

--------------------------------------------------
DataFrame: DatasetVotes
Shape: (2228514, 4)
Columns:
  - Id
  - UserId
  - DatasetVersionId
  - VoteDate

--------------------------------------------------
DataFrame: Datasets
Shape: (495234, 16)
Columns:
  - Id
  - CreatorUserId
  - OwnerUserId
  - OwnerOrganizationId
  - CurrentDatasetVersionId
  - CurrentDatasourceVersionId
  - ForumId
  - Type
  - CreationDate
  - LastActivityDate
  - TotalViews
  - TotalDownloads
  - TotalVotes
  - TotalKernels
  - Medal
  - MedalAwardDate

--------------------------------------------------
DataFrame: Datasources
Shape: (518286, 5)
Columns:
  - Id
  - CreatorUserId
  - CreationDate
  - Type
  - CurrentDatasourceVersionId



what kibnd oif relations do you suggest and exploratory analysis shodul be done