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This Datasets contains: Trade Value, Country, Month and Flow (or Trade Direction).
Trade Value: Net value in $ of the monthly exchange between the two parties. Country: Country of Origin/Destination. Month: Dates from 2006 to 2024. Flow or Trade Direction: Clarifies the direction of the transaction.
Folder: Net International Trade - 28 Datasets, one for Each Country + European Community. Provided by the Secretaría de Economía - Processed Data (Folder) - Exports by Country.csv - Imports by Country.csv - Mexican Exports to Europe.csv (SUM of the 28 countries) - Mexican Imports from Europe.csv (SUM of the 28 countries) - Simple graphs made with Tableau.
Folder: Code - Net International Trade_EU Mexico.ipynb Python code I wrote to process the Datasets. It is explained step-by-step.
This is my first contribution to kaggle, so I am open to any suggestion
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TwitterScripts for analyses and plotsContent: 'admixtureplot.R' to plot admixture analyses, 'maices_estimatingpopgenstats_wrapall.R' R code for estimating He, Ho, and Fst, 'maices_PCAs_plots.html' and 'maices_PCAs_plots.Rmd' show a Rmarkdown document used to plot the PCA, NJ trees and maps. 'runadmixture.sh' code used to run admixture. These scripts need the data and metada available at the DataandMetadata.zip section of this repositorybin.zipAdmixture outputContains the log, .Q, .P and se files of the admixture analyses. For command line used and code for plotting see the Scripts section of this repo.admixture.zipData and Meta'data/SNPs' contains SNP data provided in plink and gds format along with a README of how each file was produced. 'data/spatial' contains the shapefiles used for the maps. Please uncompress each one before use. 'meta/maizteocintle_SNP50k_meta_extended.txt' is a text file containing sampling locality, lat, long, and other metadata of each of the samples. Columns correspond to the data collected as part of the Global Maize Proyect and are further detailed at http://www.biodiversidad.gob.mx/genes/pdf/proyecto/Anexo13_Base %20de%20datos/Contenido%20y%20observaciones%20de%20la%20BdeD.pdfDataandMeta.zip
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Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This Datasets contains: Trade Value, Country, Month and Flow (or Trade Direction).
Trade Value: Net value in $ of the monthly exchange between the two parties. Country: Country of Origin/Destination. Month: Dates from 2006 to 2024. Flow or Trade Direction: Clarifies the direction of the transaction.
Folder: Net International Trade - 28 Datasets, one for Each Country + European Community. Provided by the Secretaría de Economía - Processed Data (Folder) - Exports by Country.csv - Imports by Country.csv - Mexican Exports to Europe.csv (SUM of the 28 countries) - Mexican Imports from Europe.csv (SUM of the 28 countries) - Simple graphs made with Tableau.
Folder: Code - Net International Trade_EU Mexico.ipynb Python code I wrote to process the Datasets. It is explained step-by-step.
This is my first contribution to kaggle, so I am open to any suggestion