clarified situation in title; removed tag; removed thanks; light editing

edited Jan 15, 2019 at 21:00

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Scaling data that are on different scalesorders of magnitude for a graphplotting

Looking at the following dataset:

 Date Visits Carts carts Orders Created converted Created 2011-11-11 12277 161 9 36 2011-11-12 11871 93 5 19 2011-11-13 13072 107 8 8 2011-11-14 13594 112 4 34 2011-11-15 12741 129 8 43 2011-11-16 15491 261 16 57 2011-11-17 13418 186 17 42

I've been asked to plot this on a graph, using the Date has the X-Axis and the rest of the data on the Y-Axis.

The problem is that the scale of the data is dramatically different. where Visits are in the thousands and Orders Created are in the low tens, the data doesn't plot well on a graph.

I was wondering what a statistician would do in this scenario, I could divide the the Visits by a 1000 and then put in the description (Visits (K)), but then I start to have the same problem with Carts Created, as they are in the hundreds and everything else is in the low tens.

What is the "done"kind of thing is done in this scenario?

Kind regards,

Mike

Scaling data that are on different scales for a graph

Looking at the following dataset:

 Date Visits Carts carts Orders Created converted Created 2011-11-11 12277 161 9 36 2011-11-12 11871 93 5 19 2011-11-13 13072 107 8 8 2011-11-14 13594 112 4 34 2011-11-15 12741 129 8 43 2011-11-16 15491 261 16 57 2011-11-17 13418 186 17 42

I've been asked to plot this on a graph, using the Date has the X-Axis and the rest of the data on the Y-Axis.

The problem is that the scale of the data is dramatically different. where Visits are in the thousands and Orders Created are in the low tens, the data doesn't plot well on a graph.

I was wondering what a statistician would do in this scenario, I could divide the the Visits by a 1000 and then put in the description (Visits (K)), but then I start to have the same problem with Carts Created, as they are in the hundreds and everything else is in the low tens.

What is the "done" thing in this scenario?

Kind regards,

Mike

Scaling data that are on different orders of magnitude for plotting

Looking at the following dataset:

 Date Visits Carts carts Orders Created converted Created 2011-11-11 12277 161 9 36 2011-11-12 11871 93 5 19 2011-11-13 13072 107 8 8 2011-11-14 13594 112 4 34 2011-11-15 12741 129 8 43 2011-11-16 15491 261 16 57 2011-11-17 13418 186 17 42

I've been asked to plot this on a graph, using the Date has the X-Axis and the rest of the data on the Y-Axis. The problem is that the scale of the data is dramatically different. where Visits are in the thousands and Orders Created are in the low tens, the data doesn't plot well on a graph.

I was wondering what a statistician would do in this scenario, I could divide the the Visits by a 1000 and then put in the description (Visits (K)), but then I start to have the same problem with Carts Created, as they are in the hundreds and everything else is in the low tens.

What kind of thing is done in this scenario?

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occurred Dec 7, 2011 at 5:22

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edited Dec 6, 2011 at 15:13

Mike

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Looking at the following dataset:

 Date Visits Carts carts Orders Created converted Created 2011-11-11 12277 161 9 36 2011-11-12 11871 93 5 19 2011-11-13 13072 107 8 8 2011-11-14 13594 112 4 34 2011-11-15 12741 129 8 43 2011-11-16 15491 261 16 57 2011-11-17 13418 186 17 42

I've been asked to plot this on a graph, using the Date has the X-Axis and the rest of the data on the Y-Axis.

The problem is that the scale of the data areis dramatically different. where Visits are in the thousands and Orders Created are in the low tens, the data doesn't plot well on a graph.

I was wondering what a statistician would do in this scenario, I could divide the the Visits by a 1000 and then put in the description (Visits (K)), but then I start to have the same problem with Carts Created, as they are in the hundreds and everything else is in the low tens.

What is the "done" thing in this scenario?

Kind regards,

Mike

Looking at the following dataset:

 Date Visits Carts carts Orders Created converted Created 2011-11-11 12277 161 9 36 2011-11-12 11871 93 5 19 2011-11-13 13072 107 8 8 2011-11-14 13594 112 4 34 2011-11-15 12741 129 8 43 2011-11-16 15491 261 16 57 2011-11-17 13418 186 17 42

I've been asked to plot this on a graph, using the Date has the X-Axis and the rest of the data on the Y-Axis.

The problem is that the scale of the data are dramatically different. where Visits are in the thousands and Orders Created are in the low tens, the data doesn't plot well on a graph.

I was wondering what a statistician would do in this scenario, I could divide the the Visits by a 1000 and then put in the description (Visits (K)), but then I start to have the same problem with Carts Created, as they are in the hundreds and everything else is in the low tens.

What is the "done" thing in this scenario?

Kind regards,

Mike

Looking at the following dataset:

 Date Visits Carts carts Orders Created converted Created 2011-11-11 12277 161 9 36 2011-11-12 11871 93 5 19 2011-11-13 13072 107 8 8 2011-11-14 13594 112 4 34 2011-11-15 12741 129 8 43 2011-11-16 15491 261 16 57 2011-11-17 13418 186 17 42

I've been asked to plot this on a graph, using the Date has the X-Axis and the rest of the data on the Y-Axis.

The problem is that the scale of the data is dramatically different. where Visits are in the thousands and Orders Created are in the low tens, the data doesn't plot well on a graph.

I was wondering what a statistician would do in this scenario, I could divide the the Visits by a 1000 and then put in the description (Visits (K)), but then I start to have the same problem with Carts Created, as they are in the hundreds and everything else is in the low tens.

What is the "done" thing in this scenario?

Kind regards,

Mike