Name: The Rambutan Oracle Dataset
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

The Rambutan Oracle Dataset

Rambutan Production in South Sulawesi Province by Regency/City (Quintal), 2019-2020. (Last updated data: 28 December 2021).

Pest Management Data
Identify common pests and diseases affecting rambutan, such as fruit borers or mealy bugs.

Agricultural Insights
Incorporate tips on optimizing yields and conserving resources.

Multilingual Content
Translate the collected data into Bahasa Makassar, Bahasa Indonesia, and English to ensure inclusivity.

Data I used for 5-Day Gen AI Intensive, capstone project.

Tables

Cleaned Produksi Rambutan Prov Sul Sel 2019–2020 En

@kaggle.andibimamahesaoddang_produksi_rambutan_sul_sel_2019_2020.cleaned_produksi_rambutan_prov_sul_sel_2019_2020_en

3.69 kB
25 rows
3 columns

CREATE TABLE cleaned_produksi_rambutan_prov_sul_sel_2019_2020_en (
  "regency_city" VARCHAR,
  "production_2019" DOUBLE,
  "production_2020" DOUBLE
);

Cleaned Produksi Rambutan Prov Sul Sel 2019–2020 Id

@kaggle.andibimamahesaoddang_produksi_rambutan_sul_sel_2019_2020.cleaned_produksi_rambutan_prov_sul_sel_2019_2020_id

3.67 kB
25 rows
3 columns

CREATE TABLE cleaned_produksi_rambutan_prov_sul_sel_2019_2020_id (
  "kabupaten_kota" VARCHAR,
  "produksi_2019" DOUBLE,
  "produksi_2020" DOUBLE
);

Cleaned Produksi Rambutan Prov Sul Sel 2019–2020 Mak

@kaggle.andibimamahesaoddang_produksi_rambutan_sul_sel_2019_2020.cleaned_produksi_rambutan_prov_sul_sel_2019_2020_mak

3.67 kB
25 rows
3 columns

CREATE TABLE cleaned_produksi_rambutan_prov_sul_sel_2019_2020_mak (
  "kabupaten_kota" VARCHAR,
  "produksi_2019" DOUBLE,
  "produksi_2020" DOUBLE
);

Cleaned Rambutan Problems Symptoms Solution En

@kaggle.andibimamahesaoddang_produksi_rambutan_sul_sel_2019_2020.cleaned_rambutan_problems_symptoms_solution_en

13.55 kB
30 rows
6 columns

CREATE TABLE cleaned_rambutan_problems_symptoms_solution_en (
  "problem_name" VARCHAR,
  "category" VARCHAR,
  "cause" VARCHAR,
  "symptoms" VARCHAR,
  "impact" VARCHAR,
  "solution" VARCHAR
);

Cleaned Rambutan Problems Symptoms Solution Id

@kaggle.andibimamahesaoddang_produksi_rambutan_sul_sel_2019_2020.cleaned_rambutan_problems_symptoms_solution_id

13.38 kB
30 rows
6 columns

CREATE TABLE cleaned_rambutan_problems_symptoms_solution_id (
  "problem_name" VARCHAR,
  "category" VARCHAR,
  "cause" VARCHAR,
  "symptoms" VARCHAR,
  "impact" VARCHAR,
  "solution" VARCHAR
);

Cleaned Rambutan Problems Symptoms Solution Mak

@kaggle.andibimamahesaoddang_produksi_rambutan_sul_sel_2019_2020.cleaned_rambutan_problems_symptoms_solution_mak

13.38 kB
30 rows
6 columns

CREATE TABLE cleaned_rambutan_problems_symptoms_solution_mak (
  "problem_name" VARCHAR,
  "category" VARCHAR,
  "cause" VARCHAR,
  "symptoms" VARCHAR,
  "impact" VARCHAR,
  "solution" VARCHAR
);

Produksi Rambutan Provinsi Sulawesi Selatan Menurut Ka 73a4a7b5

@kaggle.andibimamahesaoddang_produksi_rambutan_sul_sel_2019_2020.produksi_rambutan_provinsi_sulawesi_selatan_menurut_ka_73a4a7b5

3.78 kB
27 rows
3 columns

CREATE TABLE produksi_rambutan_provinsi_sulawesi_selatan_menurut_ka_73a4a7b5 (
  "kabupaten_kota" VARCHAR,
  "unnamed_1" VARCHAR  -- Unnamed: 1,
  "unnamed_2" VARCHAR  -- Unnamed: 2
);

Rata Rata Konsumsi Perkapita Seminggu Menurut Kelompok F8482093

@kaggle.andibimamahesaoddang_produksi_rambutan_sul_sel_2019_2020.rata_rata_konsumsi_perkapita_seminggu_menurut_kelompok_f8482093

31.82 kB
517 rows
17 columns

CREATE TABLE rata_rata_konsumsi_perkapita_seminggu_menurut_kelompok_f8482093 (
  "kabupaten_kota" VARCHAR,
  "unnamed_1" VARCHAR  -- Unnamed: 1,
  "unnamed_2" VARCHAR  -- Unnamed: 2,
  "unnamed_3" VARCHAR  -- Unnamed: 3,
  "unnamed_4" VARCHAR  -- Unnamed: 4,
  "unnamed_5" VARCHAR  -- Unnamed: 5,
  "unnamed_6" VARCHAR  -- Unnamed: 6,
  "unnamed_7" VARCHAR  -- Unnamed: 7,
  "unnamed_8" VARCHAR  -- Unnamed: 8,
  "unnamed_9" VARCHAR  -- Unnamed: 9,
  "unnamed_10" VARCHAR  -- Unnamed: 10,
  "unnamed_11" VARCHAR  -- Unnamed: 11,
  "unnamed_12" VARCHAR  -- Unnamed: 12,
  "unnamed_13" VARCHAR  -- Unnamed: 13,
  "unnamed_14" VARCHAR  -- Unnamed: 14,
  "unnamed_15" VARCHAR  -- Unnamed: 15,
  "unnamed_16" VARCHAR  -- Unnamed: 16
);