Graph format

[Muhammad Islam]

Hi,

I recently noticed that in my every graph the alignment of x and y-axis values are not align properly and even if i change the font size it doesn't reflect the changes (see attached for reference).

would be really appreciate for your support.

here is the simple Stata code i used to generate this plot:

graph bar (sum) g if iso3=="KEN", over(hazardtype) over(year, label(labsize(medium))) asyvars stack ///
ytitle("Total Number of Disaster Internal Displacements") ylabel(, labsize(medium)) title("Kenya", size(large)) ///
subtitle("Number of Disaster Internal Displacements") legend(position(11) ring(0))



Thanks,
Muhammad

[Nick Cox]

You may need the extra option nofill.

[Muhammad Islam]

Hi Nick,

Thanks for your response. I tried with nofill but the same issue. it look like some some setting has been altered by default since even for a simple stack bar chart with the following code the plot is completely out of alignment.

graph bar (sum) g if iso3=="KEN", nofill over(hazardtype) over(year, label(labsize(medium))) asyvars stack


is there is any option in Stata where i can set it as default.

Thanks,
Muhammad

[Nick Cox]

I think we need a data example so that your code gives a reproducible example. Please copy and paste the results of

dataex  g hazardtype year if iso3=="KEN"

https://www.statalist.org/forums/help#stata gives more explanation.

[Muhammad Islam]

Hi Nick,

Here is the output of the code you have given:

----------------------- copy starting from the next line -----------------------

* Example generated by -dataex-. For more info, type help dataex
clear
input long g str19 hazardtype int year
  3000 "Flood"         2018
   100 "Flood"         2008
 10000 "Flood"         2008
 33686 "Flood"         2009
 58000 "Flood"         2009
  9516 "Flood"         2010
 44270 "Flood"         2010
  4000 "Flood"         2011
 15045 "Flood"         2011
   912 "Flood"         2012
 96714 "Flood"         2012
  4590 "Flood"         2013
  6000 "Flood"         2013
169692 "Flood"         2013
   300 "Mass Movement" 2014
  1068 "Flood"         2014
   390 "Flood"         2015
  1170 "Flood"         2015
103524 "Flood"         2015
 49452 "Flood"         2016
     8 "Flood"         2017
 10000 "Flood"         2017
   312 "Flood"         2017
     8 "Flood"         2017
 24803 "Flood"         2017
   293 "Flood"         2017
   700 "Flood"         2018
  1950 "Storm"         2018
   378 "Flood"         2018
  1950 "Flood"         2018
326612 "Flood"         2018
   200 "Flood"         2018
   780 "Flood"         2018
     8 "Flood"         2018
   390 "Flood"         2018
   300 "Flood"         2018
     8 "Flood"         2019
   780 "Wildfire"      2019
   437 "Storm"         2019
   156 "Storm"         2019
  1000 "Flood"         2019
   390 "Flood"         2019
   117 "Flood"         2019
   150 "Flood"         2019
 70725 "Flood"         2019
   780 "Mass Movement" 2020
    20 "Mass Movement" 2020
  1170 "Flood"         2020
   702 "Flood"         2020
  1560 "Storm"         2020
253974 "Flood"         2020
     8 "Flood"         2020
  7800 "Flood"         2020
    18 "Mass Movement" 2020
 30000 "Flood"         2020
   195 "Flood"         2020
 38789 "Flood"         2020
   200 "Flood"         2021
     2 "Drought"       2021
    98 "Storm"         2022
   728 "Flood"         2022
 92352 "Drought"       2022
183216 "Drought"       2022
   474 "Flood"         2022
 10488 "Drought"       2022
 30150 "Drought"       2022
   255 "Flood"         2023
   364 "Flood"         2023
  2956 "Flood"         2023
    24 "Flood"         2023
   371 "Flood"         2023
   180 "Flood"         2023
 30150 "Flood"         2023
  2000 "Storm"         2023
   312 "Flood"         2023
   600 "Flood"         2023
   600 "Flood"         2023
  3254 "Flood"         2023
 36240 "Flood"         2021
600000 "Flood"         2023
end

------------------ copy up to and including the previous line ------------------

Listed 80 out of 338 observations

[Nick Cox]

Thanks for the data example. I did this:

* Example generated by -dataex-. For more info, type help dataex
clear
input long g str19 hazardtype int year
  3000 "Flood"         2018
   100 "Flood"         2008
 10000 "Flood"         2008
 33686 "Flood"         2009
 58000 "Flood"         2009
  9516 "Flood"         2010
 44270 "Flood"         2010
  4000 "Flood"         2011
 15045 "Flood"         2011
   912 "Flood"         2012
 96714 "Flood"         2012
  4590 "Flood"         2013
  6000 "Flood"         2013
169692 "Flood"         2013
   300 "Mass Movement" 2014
  1068 "Flood"         2014
   390 "Flood"         2015
  1170 "Flood"         2015
103524 "Flood"         2015
 49452 "Flood"         2016
     8 "Flood"         2017
 10000 "Flood"         2017
   312 "Flood"         2017
     8 "Flood"         2017
 24803 "Flood"         2017
   293 "Flood"         2017
   700 "Flood"         2018
  1950 "Storm"         2018
   378 "Flood"         2018
  1950 "Flood"         2018
326612 "Flood"         2018
   200 "Flood"         2018
   780 "Flood"         2018
     8 "Flood"         2018
   390 "Flood"         2018
   300 "Flood"         2018
     8 "Flood"         2019
   780 "Wildfire"      2019
   437 "Storm"         2019
   156 "Storm"         2019
  1000 "Flood"         2019
   390 "Flood"         2019
   117 "Flood"         2019
   150 "Flood"         2019
 70725 "Flood"         2019
   780 "Mass Movement" 2020
    20 "Mass Movement" 2020
  1170 "Flood"         2020
   702 "Flood"         2020
  1560 "Storm"         2020
253974 "Flood"         2020
     8 "Flood"         2020
  7800 "Flood"         2020
    18 "Mass Movement" 2020
 30000 "Flood"         2020
   195 "Flood"         2020
 38789 "Flood"         2020
   200 "Flood"         2021
     2 "Drought"       2021
    98 "Storm"         2022
   728 "Flood"         2022
 92352 "Drought"       2022
183216 "Drought"       2022
   474 "Flood"         2022
 10488 "Drought"       2022
 30150 "Drought"       2022
   255 "Flood"         2023
   364 "Flood"         2023
  2956 "Flood"         2023
    24 "Flood"         2023
   371 "Flood"         2023
   180 "Flood"         2023
 30150 "Flood"         2023
  2000 "Storm"         2023
   312 "Flood"         2023
   600 "Flood"         2023
   600 "Flood"         2023
  3254 "Flood"         2023
 36240 "Flood"         2021
600000 "Flood"         2023
end

set scheme stcolor 

graph bar (sum) g, over(hazardtype) over(year, label(labsize(medsm))) asyvars stack ///
ytitle("Total Number of Disaster Internal Displacements") ylabel(, labsize(medium)) title("Kenya", size(large)) ///
subtitle("Number of Disaster Internal Displacements") legend(position(11) ring(0))

So, the only change is the size of the year labels. Otherwise I can't reproduce your problem. What graph scheme are you using?

The graph is puzzling for other reasons. In essence flood dominates all years except 2022, which drought dominates. You are getting stacking of bars
for the other hazards, but the numbers are so small that the bar segments don't show well. See 2014 for example.

[Justin Niakamal]

I've had this issue when trying to use a font that's not supported.

graph set window fontface "Bad Name"

sysuse auto, clear 

lowess price mpg, title(Some title here)

To see the list of supported fonts, you should right click on the graph and select "Preferences". There will be a font drop-down box in the dialog that will list all the supported fonts.

[Muhammad Islam]

Hi Nick,

Thank you so much for your help. I believe there might be an issue with the data reporting for 2022, as the pattern seems different compared to other years. I followed your instructions and ran the exact code you provided, and while the plot should have been generated correctly, I'm still encountering the same issue. It seems to me that I might need to re-install Stata, as some of the graphics settings may have been disrupted.

Thanks again for your support.

Best regards,
Muhammad

[Muhammad Islam]

Thank you so much Justin,

It worked and really surprising i never chose the font just used the default one so don't know how it happened.

Thanks,
Muhammad

[Nick Cox]

You might need a different approach to show all hazards clearly. Here myaxis is from

. search myaxis, sj

Search of official help files, FAQs, Examples, and Stata Journals

SJ-21-3 st0654  . . Speaking Stata: Ordering or ranking groups of observations
        (help myaxis if installed)  . . . . . . . . . . . . . . . .  N. J. Cox
        Q3/21   SJ 21(3):818--837
        discusses procedures for datasets based on aggregate
        frequencies and for datasets based on individuals and
        introduce a new convenience command, myaxis, that handles
        many cases directly

* Example generated by -dataex-. For more info, type help dataex
clear
input long g str19 hazardtype int year
  3000 "Flood"         2018
   100 "Flood"         2008
 10000 "Flood"         2008
 33686 "Flood"         2009
 58000 "Flood"         2009
  9516 "Flood"         2010
 44270 "Flood"         2010
  4000 "Flood"         2011
 15045 "Flood"         2011
   912 "Flood"         2012
 96714 "Flood"         2012
  4590 "Flood"         2013
  6000 "Flood"         2013
169692 "Flood"         2013
   300 "Mass Movement" 2014
  1068 "Flood"         2014
   390 "Flood"         2015
  1170 "Flood"         2015
103524 "Flood"         2015
 49452 "Flood"         2016
     8 "Flood"         2017
 10000 "Flood"         2017
   312 "Flood"         2017
     8 "Flood"         2017
 24803 "Flood"         2017
   293 "Flood"         2017
   700 "Flood"         2018
  1950 "Storm"         2018
   378 "Flood"         2018
  1950 "Flood"         2018
326612 "Flood"         2018
   200 "Flood"         2018
   780 "Flood"         2018
     8 "Flood"         2018
   390 "Flood"         2018
   300 "Flood"         2018
     8 "Flood"         2019
   780 "Wildfire"      2019
   437 "Storm"         2019
   156 "Storm"         2019
  1000 "Flood"         2019
   390 "Flood"         2019
   117 "Flood"         2019
   150 "Flood"         2019
 70725 "Flood"         2019
   780 "Mass Movement" 2020
    20 "Mass Movement" 2020
  1170 "Flood"         2020
   702 "Flood"         2020
  1560 "Storm"         2020
253974 "Flood"         2020
     8 "Flood"         2020
  7800 "Flood"         2020
    18 "Mass Movement" 2020
 30000 "Flood"         2020
   195 "Flood"         2020
 38789 "Flood"         2020
   200 "Flood"         2021
     2 "Drought"       2021
    98 "Storm"         2022
   728 "Flood"         2022
 92352 "Drought"       2022
183216 "Drought"       2022
   474 "Flood"         2022
 10488 "Drought"       2022
 30150 "Drought"       2022
   255 "Flood"         2023
   364 "Flood"         2023
  2956 "Flood"         2023
    24 "Flood"         2023
   371 "Flood"         2023
   180 "Flood"         2023
 30150 "Flood"         2023
  2000 "Storm"         2023
   312 "Flood"         2023
   600 "Flood"         2023
   600 "Flood"         2023
  3254 "Flood"         2023
 36240 "Flood"         2021
600000 "Flood"         2023
end

preserve 

collapse (sum) g, by(hazardtype year)

fillin hazardtype year

replace g = 0 if _fillin 

myaxis type=hazardtype, sort(mean g) descending 

twoway connected g year, xla(2008(5)2023) ///
by(type, l1title("Number of Disaster Internal Displacements") yrescale note("")) sort 

restore