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What's the best way to plot a bar graph with large numeric difference in values?
What is the difference between affinity matrix eigenvectors and graph Laplacian eigenvectors in the context of spectral clustering?What are the best way to handle missing valuesHow to plot a 3-axis bar chart with matplotlib (and pandas + jupyter)What's the best classification model for this recommendation engine?How to best visualize data when outliers lead to lack of contrasting colors for the rest of the plot?Aggregating small values in a frequency bar plotWhat's an efficient way to plot many features for EDA in python?What is the difference between symmetric bipartite graphs and a complete bipartite graph?Is there a way to Label/Annotate My Bubble Plot (Scatter plot with a z-axis) on matplotlib?Binary Search Tree with categorical and numeric values in python
$begingroup$
I'm graphing the value of the Ruble against the US Dollar in the 1990s. There was hyper-inflation from 1992-1997 (where the "y" values expanded from 125 to 6000). On Jan 1st 1998, the government revalued the money to 5. Since then the number has trended upward but has only reached 70 or so.
This creates a problem in my bar or line graph. You can't understand the low values after the stabilization. Any suggestions to help with this discrepancy when viewing the whole dataset in one graph?
Plotting using matplotlib
python visualization graphs matplotlib
asked Apr 9 at 19:52
Peter ArsenaultPeter Arsenault
31
$endgroup$
add a comment |
$begingroup$
I'm graphing the value of the Ruble against the US Dollar in the 1990s. There was hyper-inflation from 1992-1997 (where the "y" values expanded from 125 to 6000). On Jan 1st 1998, the government revalued the money to 5. Since then the number has trended upward but has only reached 70 or so.
This creates a problem in my bar or line graph. You can't understand the low values after the stabilization. Any suggestions to help with this discrepancy when viewing the whole dataset in one graph?
Plotting using matplotlib
python visualization graphs matplotlib
asked Apr 9 at 19:52
Peter ArsenaultPeter Arsenault
31
$endgroup$
$begingroup$
Is it necessary to see the entire graph at once? Is it really meaningful to see comparisons between each side of the arbitrary revaluation? Does the data need to be directly, easily interpretable?
$endgroup$
– Upper_Case
Apr 9 at 20:12
$begingroup$
It would be nice. I've produced two individual graphs (before and after the revaluation). But if I wanted to view a graph like the image posted, could I view it in a different way, such as a Logarithmic scale? or to put an <...> in the y axis at some point to save space? Just wondering what others do in this situation.
$endgroup$
– Peter Arsenault
Apr 9 at 20:20
1
$begingroup$
I think you should use a log scale but if you are going to present this to someone, make sure you be emphatic about it!
$endgroup$
– Pedro Henrique Monforte
Apr 9 at 20:55
add a comment |
$begingroup$
I'm graphing the value of the Ruble against the US Dollar in the 1990s. There was hyper-inflation from 1992-1997 (where the "y" values expanded from 125 to 6000). On Jan 1st 1998, the government revalued the money to 5. Since then the number has trended upward but has only reached 70 or so.
This creates a problem in my bar or line graph. You can't understand the low values after the stabilization. Any suggestions to help with this discrepancy when viewing the whole dataset in one graph?
Plotting using matplotlib
python visualization graphs matplotlib
asked Apr 9 at 19:52
Peter ArsenaultPeter Arsenault
31
$endgroup$
I'm graphing the value of the Ruble against the US Dollar in the 1990s. There was hyper-inflation from 1992-1997 (where the "y" values expanded from 125 to 6000). On Jan 1st 1998, the government revalued the money to 5. Since then the number has trended upward but has only reached 70 or so.
This creates a problem in my bar or line graph. You can't understand the low values after the stabilization. Any suggestions to help with this discrepancy when viewing the whole dataset in one graph?
Plotting using matplotlib
python visualization graphs matplotlib
python visualization graphs matplotlib
asked Apr 9 at 19:52
Peter ArsenaultPeter Arsenault
31
asked Apr 9 at 19:52
Peter ArsenaultPeter Arsenault
31
asked Apr 9 at 19:52
Peter ArsenaultPeter Arsenault
31
asked Apr 9 at 19:52
Peter ArsenaultPeter Arsenault
31
asked Apr 9 at 19:52
Peter ArsenaultPeter Arsenault
31
31
$begingroup$
Is it necessary to see the entire graph at once? Is it really meaningful to see comparisons between each side of the arbitrary revaluation? Does the data need to be directly, easily interpretable?
$endgroup$
– Upper_Case
Apr 9 at 20:12
$begingroup$
It would be nice. I've produced two individual graphs (before and after the revaluation). But if I wanted to view a graph like the image posted, could I view it in a different way, such as a Logarithmic scale? or to put an <...> in the y axis at some point to save space? Just wondering what others do in this situation.
$endgroup$
– Peter Arsenault
Apr 9 at 20:20
1
$begingroup$
I think you should use a log scale but if you are going to present this to someone, make sure you be emphatic about it!
$endgroup$
– Pedro Henrique Monforte
Apr 9 at 20:55
add a comment |
$begingroup$
Is it necessary to see the entire graph at once? Is it really meaningful to see comparisons between each side of the arbitrary revaluation? Does the data need to be directly, easily interpretable?
$endgroup$
– Upper_Case
Apr 9 at 20:12
$begingroup$
It would be nice. I've produced two individual graphs (before and after the revaluation). But if I wanted to view a graph like the image posted, could I view it in a different way, such as a Logarithmic scale? or to put an <...> in the y axis at some point to save space? Just wondering what others do in this situation.
$endgroup$
– Peter Arsenault
Apr 9 at 20:20
1
$begingroup$
I think you should use a log scale but if you are going to present this to someone, make sure you be emphatic about it!
$endgroup$
– Pedro Henrique Monforte
Apr 9 at 20:55
$begingroup$
Is it necessary to see the entire graph at once? Is it really meaningful to see comparisons between each side of the arbitrary revaluation? Does the data need to be directly, easily interpretable?
$endgroup$
– Upper_Case
Apr 9 at 20:12
$begingroup$
Is it necessary to see the entire graph at once? Is it really meaningful to see comparisons between each side of the arbitrary revaluation? Does the data need to be directly, easily interpretable?
$endgroup$
– Upper_Case
Apr 9 at 20:12
$begingroup$
It would be nice. I've produced two individual graphs (before and after the revaluation). But if I wanted to view a graph like the image posted, could I view it in a different way, such as a Logarithmic scale? or to put an <...> in the y axis at some point to save space? Just wondering what others do in this situation.
$endgroup$
– Peter Arsenault
Apr 9 at 20:20
$begingroup$
It would be nice. I've produced two individual graphs (before and after the revaluation). But if I wanted to view a graph like the image posted, could I view it in a different way, such as a Logarithmic scale? or to put an <...> in the y axis at some point to save space? Just wondering what others do in this situation.
$endgroup$
– Peter Arsenault
Apr 9 at 20:20
1
1
$begingroup$
I think you should use a log scale but if you are going to present this to someone, make sure you be emphatic about it!
$endgroup$
– Pedro Henrique Monforte
Apr 9 at 20:55
$begingroup$
I think you should use a log scale but if you are going to present this to someone, make sure you be emphatic about it!
$endgroup$
– Pedro Henrique Monforte
Apr 9 at 20:55
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
A log scale will make the difference before and after revaluation look less extreme, and a log transformation is usually pretty defensible for things measured in units of currency (especially when there are no 0-value entries). Other transformations exist, but since this is mostly for aesthetics I don't think that you'd need much that a log transformation couldn't offer.
Fiddling with multiple vertical axes and continuity breaks may help, but at an almost-guaranteed cost of making the graph very difficult to view and interpret correctly. If you need to show both periods, I would probably log transform.
You will know your needs far better than I do, but I do question a little bit how valuable seeing the before and after this way is. The revaluation was an arbitrary decision introduced at an arbitrary time, and behavior of the currency before the revaluation is probably not very informative of anything that happened afterwards (and vice-versa). It's far from clear to me that there is much value in showing both at once like this, at least from my naïve look at a single graph.
The main reason I can think of to show both at once this way is to display how extreme the inflation was, in which case the scale differences would be a feature and not a bug.
answered Apr 9 at 20:38
Upper_CaseUpper_Case
1913
$endgroup$
$begingroup$
thank you for your answer and advice.
$endgroup$
– Peter Arsenault
Apr 11 at 13:52
add a comment |
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1 Answer
1
active
oldest
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1 Answer
1
active
oldest
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active
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$begingroup$
A log scale will make the difference before and after revaluation look less extreme, and a log transformation is usually pretty defensible for things measured in units of currency (especially when there are no 0-value entries). Other transformations exist, but since this is mostly for aesthetics I don't think that you'd need much that a log transformation couldn't offer.
Fiddling with multiple vertical axes and continuity breaks may help, but at an almost-guaranteed cost of making the graph very difficult to view and interpret correctly. If you need to show both periods, I would probably log transform.
You will know your needs far better than I do, but I do question a little bit how valuable seeing the before and after this way is. The revaluation was an arbitrary decision introduced at an arbitrary time, and behavior of the currency before the revaluation is probably not very informative of anything that happened afterwards (and vice-versa). It's far from clear to me that there is much value in showing both at once like this, at least from my naïve look at a single graph.
The main reason I can think of to show both at once this way is to display how extreme the inflation was, in which case the scale differences would be a feature and not a bug.
answered Apr 9 at 20:38
Upper_CaseUpper_Case
1913
$endgroup$
$begingroup$
thank you for your answer and advice.
$endgroup$
– Peter Arsenault
Apr 11 at 13:52
add a comment |
$begingroup$
A log scale will make the difference before and after revaluation look less extreme, and a log transformation is usually pretty defensible for things measured in units of currency (especially when there are no 0-value entries). Other transformations exist, but since this is mostly for aesthetics I don't think that you'd need much that a log transformation couldn't offer.
Fiddling with multiple vertical axes and continuity breaks may help, but at an almost-guaranteed cost of making the graph very difficult to view and interpret correctly. If you need to show both periods, I would probably log transform.
You will know your needs far better than I do, but I do question a little bit how valuable seeing the before and after this way is. The revaluation was an arbitrary decision introduced at an arbitrary time, and behavior of the currency before the revaluation is probably not very informative of anything that happened afterwards (and vice-versa). It's far from clear to me that there is much value in showing both at once like this, at least from my naïve look at a single graph.
The main reason I can think of to show both at once this way is to display how extreme the inflation was, in which case the scale differences would be a feature and not a bug.
answered Apr 9 at 20:38
Upper_CaseUpper_Case
1913
$endgroup$
$begingroup$
thank you for your answer and advice.
$endgroup$
– Peter Arsenault
Apr 11 at 13:52
add a comment |
$begingroup$
A log scale will make the difference before and after revaluation look less extreme, and a log transformation is usually pretty defensible for things measured in units of currency (especially when there are no 0-value entries). Other transformations exist, but since this is mostly for aesthetics I don't think that you'd need much that a log transformation couldn't offer.
Fiddling with multiple vertical axes and continuity breaks may help, but at an almost-guaranteed cost of making the graph very difficult to view and interpret correctly. If you need to show both periods, I would probably log transform.
You will know your needs far better than I do, but I do question a little bit how valuable seeing the before and after this way is. The revaluation was an arbitrary decision introduced at an arbitrary time, and behavior of the currency before the revaluation is probably not very informative of anything that happened afterwards (and vice-versa). It's far from clear to me that there is much value in showing both at once like this, at least from my naïve look at a single graph.
The main reason I can think of to show both at once this way is to display how extreme the inflation was, in which case the scale differences would be a feature and not a bug.
answered Apr 9 at 20:38
Upper_CaseUpper_Case
1913
$endgroup$
A log scale will make the difference before and after revaluation look less extreme, and a log transformation is usually pretty defensible for things measured in units of currency (especially when there are no 0-value entries). Other transformations exist, but since this is mostly for aesthetics I don't think that you'd need much that a log transformation couldn't offer.
Fiddling with multiple vertical axes and continuity breaks may help, but at an almost-guaranteed cost of making the graph very difficult to view and interpret correctly. If you need to show both periods, I would probably log transform.
You will know your needs far better than I do, but I do question a little bit how valuable seeing the before and after this way is. The revaluation was an arbitrary decision introduced at an arbitrary time, and behavior of the currency before the revaluation is probably not very informative of anything that happened afterwards (and vice-versa). It's far from clear to me that there is much value in showing both at once like this, at least from my naïve look at a single graph.
The main reason I can think of to show both at once this way is to display how extreme the inflation was, in which case the scale differences would be a feature and not a bug.
answered Apr 9 at 20:38
Upper_CaseUpper_Case
1913
answered Apr 9 at 20:38
Upper_CaseUpper_Case
1913
answered Apr 9 at 20:38
Upper_CaseUpper_Case
1913
answered Apr 9 at 20:38
Upper_CaseUpper_Case
1913
1913
$begingroup$
thank you for your answer and advice.
$endgroup$
– Peter Arsenault
Apr 11 at 13:52
add a comment |
$begingroup$
thank you for your answer and advice.
$endgroup$
– Peter Arsenault
Apr 11 at 13:52
$begingroup$
thank you for your answer and advice.
$endgroup$
– Peter Arsenault
Apr 11 at 13:52
$begingroup$
thank you for your answer and advice.
$endgroup$
– Peter Arsenault
Apr 11 at 13:52
add a comment |
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$begingroup$
Is it necessary to see the entire graph at once? Is it really meaningful to see comparisons between each side of the arbitrary revaluation? Does the data need to be directly, easily interpretable?
$endgroup$
– Upper_Case
Apr 9 at 20:12
$begingroup$
It would be nice. I've produced two individual graphs (before and after the revaluation). But if I wanted to view a graph like the image posted, could I view it in a different way, such as a Logarithmic scale? or to put an <...> in the y axis at some point to save space? Just wondering what others do in this situation.
$endgroup$
– Peter Arsenault
Apr 9 at 20:20
1
$begingroup$
I think you should use a log scale but if you are going to present this to someone, make sure you be emphatic about it!
$endgroup$
– Pedro Henrique Monforte
Apr 9 at 20:55