Insert missing values in categorized styleCategorized Style : showing all possible values, not just the ones...
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Insert missing values in categorized style
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In QGIS Bonn, when styling my layer to use the categorize option, I want to have all values within a range, for instance, 0 to 50000.
I am using the data from a CSV that has information about population density and I am using a grayscale to categorize it.
But the values are so different that 0 is white, 2000 is medium gray and 50000 is black.
This does not reflect the true differences between population per area and I do not want to add the missing integer values by hand, how do I do it?
qgis qgis-3 style
edited 1 hour ago
underdark♦
68.3k13177342
asked Jul 18 '18 at 11:21
gdf31gdf31
61
add a comment |
In QGIS Bonn, when styling my layer to use the categorize option, I want to have all values within a range, for instance, 0 to 50000.
I am using the data from a CSV that has information about population density and I am using a grayscale to categorize it.
But the values are so different that 0 is white, 2000 is medium gray and 50000 is black.
This does not reflect the true differences between population per area and I do not want to add the missing integer values by hand, how do I do it?
qgis qgis-3 style
edited 1 hour ago
underdark♦
68.3k13177342
asked Jul 18 '18 at 11:21
gdf31gdf31
61
1
A screenshot could be helpful. Also, you can change breaks as this example i.stack.imgur.com/dcS1k.jpg
– aldo_tapia
Jul 18 '18 at 12:12
add a comment |
In QGIS Bonn, when styling my layer to use the categorize option, I want to have all values within a range, for instance, 0 to 50000.
I am using the data from a CSV that has information about population density and I am using a grayscale to categorize it.
But the values are so different that 0 is white, 2000 is medium gray and 50000 is black.
This does not reflect the true differences between population per area and I do not want to add the missing integer values by hand, how do I do it?
qgis qgis-3 style
edited 1 hour ago
underdark♦
68.3k13177342
asked Jul 18 '18 at 11:21
gdf31gdf31
61
In QGIS Bonn, when styling my layer to use the categorize option, I want to have all values within a range, for instance, 0 to 50000.
I am using the data from a CSV that has information about population density and I am using a grayscale to categorize it.
But the values are so different that 0 is white, 2000 is medium gray and 50000 is black.
This does not reflect the true differences between population per area and I do not want to add the missing integer values by hand, how do I do it?
qgis qgis-3 style
qgis qgis-3 style
edited 1 hour ago
underdark♦
68.3k13177342
asked Jul 18 '18 at 11:21
gdf31gdf31
61
edited 1 hour ago
underdark♦
68.3k13177342
asked Jul 18 '18 at 11:21
gdf31gdf31
61
edited 1 hour ago
underdark♦
68.3k13177342
edited 1 hour ago
underdark♦
68.3k13177342
edited 1 hour ago
underdark♦
68.3k13177342
68.3k13177342
asked Jul 18 '18 at 11:21
gdf31gdf31
61
asked Jul 18 '18 at 11:21
gdf31gdf31
61
asked Jul 18 '18 at 11:21
gdf31gdf31
61
61
1
A screenshot could be helpful. Also, you can change breaks as this example i.stack.imgur.com/dcS1k.jpg
– aldo_tapia
Jul 18 '18 at 12:12
add a comment |
1
A screenshot could be helpful. Also, you can change breaks as this example i.stack.imgur.com/dcS1k.jpg
– aldo_tapia
Jul 18 '18 at 12:12
1
1
A screenshot could be helpful. Also, you can change breaks as this example i.stack.imgur.com/dcS1k.jpg
– aldo_tapia
Jul 18 '18 at 12:12
A screenshot could be helpful. Also, you can change breaks as this example i.stack.imgur.com/dcS1k.jpg
– aldo_tapia
Jul 18 '18 at 12:12
add a comment |
2 Answers
2
active
oldest
votes
If you take 'graduated' instead of 'categorized', you can choose the number of classes. Eg 5 classes gives you
0-10000
10000-20000
20000-30000
etc.
answered Jul 18 '18 at 11:32
PieterBPieterB
2,4811026
add a comment |
A way to overcome this kind of problem is to use a non-linear reclassification of the data (for exemple using the square root of the value for representation, or log or exp or... depending of the actual distribution of the data).
By reclassifying you could differentiate more at one end of the scale (for exemple square root will let you discriminate between low value by lowering more the high value than the low one)
answered Jul 18 '18 at 11:55
J.RJ.R
3,302222
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
If you take 'graduated' instead of 'categorized', you can choose the number of classes. Eg 5 classes gives you
0-10000
10000-20000
20000-30000
etc.
answered Jul 18 '18 at 11:32
PieterBPieterB
2,4811026
add a comment |
If you take 'graduated' instead of 'categorized', you can choose the number of classes. Eg 5 classes gives you
0-10000
10000-20000
20000-30000
etc.
answered Jul 18 '18 at 11:32
PieterBPieterB
2,4811026
add a comment |
If you take 'graduated' instead of 'categorized', you can choose the number of classes. Eg 5 classes gives you
0-10000
10000-20000
20000-30000
etc.
answered Jul 18 '18 at 11:32
PieterBPieterB
2,4811026
If you take 'graduated' instead of 'categorized', you can choose the number of classes. Eg 5 classes gives you
0-10000
10000-20000
20000-30000
etc.
answered Jul 18 '18 at 11:32
PieterBPieterB
2,4811026
answered Jul 18 '18 at 11:32
PieterBPieterB
2,4811026
answered Jul 18 '18 at 11:32
PieterBPieterB
2,4811026
answered Jul 18 '18 at 11:32
PieterBPieterB
2,4811026
2,4811026
add a comment |
add a comment |
A way to overcome this kind of problem is to use a non-linear reclassification of the data (for exemple using the square root of the value for representation, or log or exp or... depending of the actual distribution of the data).
By reclassifying you could differentiate more at one end of the scale (for exemple square root will let you discriminate between low value by lowering more the high value than the low one)
answered Jul 18 '18 at 11:55
J.RJ.R
3,302222
add a comment |
A way to overcome this kind of problem is to use a non-linear reclassification of the data (for exemple using the square root of the value for representation, or log or exp or... depending of the actual distribution of the data).
By reclassifying you could differentiate more at one end of the scale (for exemple square root will let you discriminate between low value by lowering more the high value than the low one)
answered Jul 18 '18 at 11:55
J.RJ.R
3,302222
add a comment |
A way to overcome this kind of problem is to use a non-linear reclassification of the data (for exemple using the square root of the value for representation, or log or exp or... depending of the actual distribution of the data).
By reclassifying you could differentiate more at one end of the scale (for exemple square root will let you discriminate between low value by lowering more the high value than the low one)
answered Jul 18 '18 at 11:55
J.RJ.R
3,302222
A way to overcome this kind of problem is to use a non-linear reclassification of the data (for exemple using the square root of the value for representation, or log or exp or... depending of the actual distribution of the data).
By reclassifying you could differentiate more at one end of the scale (for exemple square root will let you discriminate between low value by lowering more the high value than the low one)
answered Jul 18 '18 at 11:55
J.RJ.R
3,302222
answered Jul 18 '18 at 11:55
J.RJ.R
3,302222
answered Jul 18 '18 at 11:55
J.RJ.R
3,302222
answered Jul 18 '18 at 11:55
J.RJ.R
3,302222
3,302222
add a comment |
add a comment |
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A screenshot could be helpful. Also, you can change breaks as this example i.stack.imgur.com/dcS1k.jpg
– aldo_tapia
Jul 18 '18 at 12:12