Reasoning and Explanation

The BBC points out that global meat consumption has increased rapidly over the last 50 years. The article states that the more richer the country, the greater the meat consumption. If we were to identify trends and patterns in meat consumption that are associated with changes in GDP in the data (which we collect from the Wikipedia link above), then we can provide evidence to the idea that GDP growth does indeed influcence meat consumption. Meat production has a large environmental impact, which includes deforestation to build industrial meat farms, billions of tons of carbon dioxide being released into the atmosphere, feed sourcing, and manure processing, to name a few. Therefore, countries that consume the most amount of meat should do their part to reduce the environmental impact of meat consumption.

The first dataset from OECD that I have provided provides the following:

   LOCATION          INDICATOR           SUBJECT            MEASURE         
 Length:12160       Length:12160       Length:12160       Length:12160      
 Class :character   Class :character   Class :character   Class :character  
 Mode  :character   Mode  :character   Mode  :character   Mode  :character  
                                                                            
                                                                            
                                                                            
                                                                            
  FREQUENCY              TIME          Value           Flag.Codes    
 Length:12160       Min.   :1990   Min.   :     0.00   Mode:logical  
 Class :character   1st Qu.:2000   1st Qu.:     5.45   NA's:12160    
 Mode  :character   Median :2010   Median :    24.77                 
                    Mean   :2010   Mean   :  2291.58                 
                    3rd Qu.:2019   3rd Qu.:   433.10                 
                    Max.   :2029   Max.   :144874.23                 
                                                                     
 LOCATION <- as.factor(LOCATION) INDICATOR <- as.factor(INDICATOR)
 ARG    :  320                   MEATCONSUMP:12160                
 AUS    :  320                                                    
 BRA    :  320                                                    
 BRICS  :  320                                                    
 CAN    :  320                                                    
 CHE    :  320                                                    
 (Other):10240                                                    
 SUBJECT <- as.factor(SUBJECT) MEASURE <- as.factor(MEASURE)
 BEEF   :3040                  KG_CAP    :6080              
 PIG    :3040                  THND_TONNE:6080              
 POULTRY:3040                                               
 SHEEP  :3040                                               
                                                            
                                                            
                                                            
 FREQUENCY <- as.factor(FREQUENCY)
 A:12160

So depending on the animal type that is being consumed (the SUBJECT variable in the dataset above), we can determine which animals are being consumed the most in a country, and which aninals are being consumed the least per country, by year, and we can use the GDP to gauge the how the meat eating consumption changes through this variable.

I want to create a Dash app in Python using mainly pandas and Plotly (and whatever else miscellaneous packages I need for data processing) which allows you select by country, and then either select by meat type OR select all of the meat types all at once, and then plots the KG_CAP or THND_TONNE for that particular country on one layer, along with the plotting GDP per Capita by year on another layer. This is to determine if the GDP has influence on meat consumption. This is also to determine which countries have very high levels of meat consumption per capita, as we want to mitigate the environmental effects of meat consumption as mentioned earlier. It would probably be advantageous to look at the countries with the top 10 highest GDPs and the countries with the top 10 lowest GDPs as well. Maybe have the ability on the Dash app to plot two countries GDPs and their meat consumptions for comparison purposes.