R help - Aug 2021 - Help needed with ggplot2

Hello, on using the following code for the following data, the graph I get has
an x axis where years are mentioned as 2012.5, 2017.5 etc.?

I have the following questions -?
Q1 How can I make the years on x axis as 2011, 2012, 2013, 2014 and so on..?
Q2 Is there any way to create a small gap between the red and blue bars for
aesthetic purposes
Q3 Is there anyway to make the text on top of the bars bolder or thicker??
Thank you

code -?
ymax <- max(graph_text$percentage)ggplot(aes(x=year, y=percentage, color =
gender, fill=gender), data = graph_text)+? geom_bar(position = 'dodge',
stat='identity')+? theme_classic()+? geom_text(aes(label = percentage),
size = 4, position = position_dodge(width = 1.1), vjust=-0.2) +??
scale_y_continuous(limits=c(0, 1.4*ymax))


| 57.14 | 2020 | ?male |
| 29.76 | 2020? | female |
| 69.32 | 2019? | male |
| 28.41 | 2019 | ?female |
| 57.89 | 2018 | ?male |
| 34.21 | 2018? | female |
| 58.59 | 2017 | ?male |
| 33.33 | 2017? | female |
| 48.42 | 2016? | male |
| 42.11 | 2016 | ?female |
| 59.77 | 2015 | ?male |
| 29.89 | 2015 | ?female |
| 72.13 | 2014 | ?male |
| 18.03 | 2014 | ?female |
| 53.33 | 2013 | ?male |
| 33.33 | 2013 | ?female |
| 55.1 | 2012 | ?male |
| 40.82 | 2012? | female |
| 46.55 | 2011? | male |
| 37.93 | 2011? | female |






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On Sat, Aug 21, 2021 at 2:47 PM bharat rawlley via R-help
<r-help at r-project.org> wrote:
>
>
> Hello, on using the following code for the following data, the graph I get
has an x axis where years are mentioned as 2012.5, 2017.5 etc.
>
> I have the following questions -
> Q1 How can I make the years on x axis as 2011, 2012, 2013, 2014 and so on..
> Q2 Is there any way to create a small gap between the red and blue bars for
aesthetic purposes
> Q3 Is there anyway to make the text on top of the bars bolder or thicker?
> Thank you
>
> code -
> ymax <- max(graph_text$percentage)ggplot(aes(x=year, y=percentage, color
= gender, fill=gender), data = graph_text)+  geom_bar(position =
'dodge', stat='identity')+  theme_classic()+ 
geom_text(aes(label = percentage), size = 4, position = position_dodge(width =
1.1), vjust=-0.2) +   scale_y_continuous(limits=c(0, 1.4*ymax))
>
>
> | 57.14 | 2020 |  male |
> | 29.76 | 2020  | female |
> | 69.32 | 2019  | male |
> | 28.41 | 2019 |  female |
> | 57.89 | 2018 |  male |
> | 34.21 | 2018  | female |
> | 58.59 | 2017 |  male |
> | 33.33 | 2017  | female |
> | 48.42 | 2016  | male |
> | 42.11 | 2016 |  female |
> | 59.77 | 2015 |  male |
> | 29.89 | 2015 |  female |
> | 72.13 | 2014 |  male |
> | 18.03 | 2014 |  female |
> | 53.33 | 2013 |  male |
> | 33.33 | 2013 |  female |
> | 55.1 | 2012 |  male |
> | 40.82 | 2012  | female |
> | 46.55 | 2011  | male |
> | 37.93 | 2011  | female |
>
>
>
>
>
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