Data description
• Data quality check has been performed in each dataset used to assess if there’s any missing values. Well done !
Suggestion:
• Perhaps displaying the data dictionary in a table format would be easier for the user to understand the dataset.
Research Question 1:
• Good job on the line plot! It’s very clear that there’s an increasing trend in both seafood consumption and seafood production overtime.
• The scatterplot matrix plot is very interesting too ! Correlation between variables are clearly illustrated.
Suggestion:
• Perhaps consider plotting both the seafood production and consumption in the same plot for better illustrations of a positive relationship between seafood consumption and production. During the period from 1989 to 1992, there appears to be a drop in seafood consumption but it seems like the decreasing effect on seafood production is very minimal, plotting them together would show these clearer.
Research Question 2:
• Data modelling into 4 decades show how the fish type production changed across the decades. I like the colours chosen on the plot too ! Good job !
Suggestion:
• Perhaps its worth mentioning that Freshwater fish has increased over the years and is becoming the second largest fish production after Pelagic Fish. This corresponds to Graph 5i(captured vs aquavulture) where the aquaculture has surpassed captured for some countries.
Research Question 3:
• Nice choice of graphs! And ordering the values from largest to smallest clearly illustrate who are the largest producers.
• The colours chosen on graph5h and the way it was presented was very illustrative too ! Good job!
Suggestion:
• Perhaps consider including the text label on the geom_col to show the differences in production especially for the lower 4 countries (eg: Norway, Bangladesh, Phillipines and Japan) in Graph 5a – as perhaps China production is the largest, it seems to take information away from the other lower producers when we compare the bar graphs.
• A minor spelling mistake on graph5d and graph5a (tope 10 producers)
Research Question 4:
• Nice choice of plotting the 8 vertical lines to illustrate changes in different periods.
References:
References is very tidy too ! Another suggestion Is to include session_info().
Data description • Data quality check has been performed in each dataset used to assess if there’s any missing values. Well done ! Suggestion: • Perhaps displaying the data dictionary in a table format would be easier for the user to understand the dataset.
Research Question 1: • Good job on the line plot! It’s very clear that there’s an increasing trend in both seafood consumption and seafood production overtime. • The scatterplot matrix plot is very interesting too ! Correlation between variables are clearly illustrated. Suggestion: • Perhaps consider plotting both the seafood production and consumption in the same plot for better illustrations of a positive relationship between seafood consumption and production. During the period from 1989 to 1992, there appears to be a drop in seafood consumption but it seems like the decreasing effect on seafood production is very minimal, plotting them together would show these clearer.
Research Question 2: • Data modelling into 4 decades show how the fish type production changed across the decades. I like the colours chosen on the plot too ! Good job ! Suggestion: • Perhaps its worth mentioning that Freshwater fish has increased over the years and is becoming the second largest fish production after Pelagic Fish. This corresponds to Graph 5i(captured vs aquavulture) where the aquaculture has surpassed captured for some countries.
Research Question 3: • Nice choice of graphs! And ordering the values from largest to smallest clearly illustrate who are the largest producers. • The colours chosen on graph5h and the way it was presented was very illustrative too ! Good job! Suggestion: • Perhaps consider including the text label on the geom_col to show the differences in production especially for the lower 4 countries (eg: Norway, Bangladesh, Phillipines and Japan) in Graph 5a – as perhaps China production is the largest, it seems to take information away from the other lower producers when we compare the bar graphs. • A minor spelling mistake on graph5d and graph5a (tope 10 producers)
Research Question 4: • Nice choice of plotting the 8 vertical lines to illustrate changes in different periods.
References: References is very tidy too ! Another suggestion Is to include session_info().