plot_report.Rmd

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title: "Your Plot Meta Analysis"
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Hi! I am you dataviz bot advisor<span class=blinking-cursor>_</span>

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I have looked into your plot and evaluated it against dataviz best practices and theoretical frameworks<span class=blinking-cursor>_</span>

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your plot looks  __`r judgment`__<span class=blinking-cursor>_</span>

to be more precise your plot scored __`r round(score,2)`__


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here it is a comparison between your score and the score obtained from plots included within the score estimation database.

```{r eval=TRUE, include=TRUE,echo=FALSE, fig.height=5,fig.width=7,5}

score_plot

```

<small>you can find more info about how my scoring algorithm works on my <a hrefandreacirillo.com/viz_bot>official webpage</a></small>

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let me tell you a bit more about this<span class=blinking-cursor>_</span>

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as far as I can see the data viz area in which your plot scored worst was the __`r worst_area`__<span class=blinking-cursor>_</span>

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here it is a summary of your plot performance for each area. 

`r kable(positive_ratio_show)`

you can look into my documentation to learn which test were performed and how the scores were computed.
<small>you can also find more info about all on my <a hrefandreacirillo.com/viz_bot>official webpage</a></small>

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is now time to learn how to make your plot more effective applying dataviz principles<span class=blinking-cursor>_</span>

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I will give you an advice on how to fix your plot for each test failed<span class=blinking-cursor>_</span>
 
 
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__you should highlight trends going on__
  
it seems a strong correlation is going on between your data. Try to help the reader of your plot spotting it adding <code>geom_smooth()</code> to your plot<span class=blinking-cursor>_</span>
  
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__try to remove the grey background__
  
you are employing the default ggplot theme. while it is generally fit for its purpose you should consider removing that grey background, which lowers your data to ink ratio. Please find more info about data ink ratio on the <a href='https://infovis-wiki.net/wiki/Data-Ink_Ratio'>official info vis wiki page</a><span class=blinking-cursor>_</span>
  
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__let us understand your plot better with a subtitle__
  
 your plot is missing a subtitle. Subtitle are effective in providing additional relevant info about metrics and data showed in your plot.Try to add a plot employing labs(subtitle  = 'your subtitle')<span class=blinking-cursor>_</span>
  
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__use caption to add integrity to your plot__
  
your plot is missing a caption. While not mandatories , captions are used to provide info about sources and reference period of your plot. This is crucial to increase the level of graphical integrity of your plot<span class=blinking-cursor>_</span>
  
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__mark that outliers__
  
I have found some outliers in your data  ,and they do not seem to be explicitly labeled in your plot.To increase the level of meaningfulness you should consider labelling them<span class=blinking-cursor>_</span>
  
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Hope you will find this useful and will help you improve your plot
  
Cheers,
  
_your dataviz bot advisor_