How to visualize (make plot) of regression output against categorical input variable?
One possible first step is to convert the data back to the original coding.
This is called in SQL unpivot, in R melt.

Here an R example

&gt; my.df &lt;- read.table(
+ text = "DistrictA     DistrictB    DistrictC    DistrictD     DistrictE     Price
+         1             0            0            0             0             10000
+         0             1            0            0             0             20000
+         0             0            1            0             0             30000
+         0             0            0            1             0             40000
+         0             0            0            0             1             50000"
+      , header = TRUE)
&gt; my.df
  DistrictA DistrictB DistrictC DistrictD DistrictE Price
1         1         0         0         0         0 10000
2         0         1         0         0         0 20000
3         0         0         1         0         0 30000
4         0         0         0         1         0 40000
5         0         0         0         0         1 50000

&gt; library(reshape)
&gt; subset(melt(my.df, id="Price", variable = "District"),value == 1)[,c(1,2)]
   Price  District
1  10000 DistrictA
7  20000 DistrictB
13 30000 DistrictC
19 40000 DistrictD
25 50000 DistrictE


After that you plot the Price dependent on a factor variable. You may additionally consider to order the factor based on the predicted price.

I provide no details, as you don't tagged your tool, but I would recommend additional to a scatter plot to consider a box plot and/or density plot - always combined with the prediction value from the model for each factor level.