Scatter charts with dates

I am trying to create a scatter chart which has date on the X-axis and meter reading on the Y-axis. The date/time intervals are not regular so I can't use a line or bar chart, but I can't seem to get the scatter chart option to accept the series for the X-axis with the dates in it. Is what I am doing possible in Numbers or will I have to revert to Excel
Many thanks for any help,
John Perry.

The Scatter chart requires sets of numerical values.
Date_time aren't numerical values so as you see, we can't chart them.
But it's easy to build a workaround.
Here column B contains dates.
In column C, I uses:
=B-DATE(2008,1,1)
which returns numerical values
So, I was able to chart C2 … D11
To refine the result, disable the display of labels on X axis and build a text block with the dates as I did for Graphique 2-1
Yvan KOENIG (from FRANCE jeudi 18 décembre 2008 20:48:14)

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hi
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</mx:request>
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files.me.com/jujudavies/wgugl1.numbers.zip
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<?xml version = "1.0" encoding="utf-8" standalone = "yes"?>
<anychart>
<settings>
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 <label>
 <text></text>
 
 </label>
 </no_data>
</settings>
<margin left="0" top="" right="0" bottom="0" />
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 <chart plot_type="CategorizedVertical" name="chart_1614502819445708">
 <chart_settings>
 <title enabled="False" />
 <chart_background>
 <fill type="Solid" color="0xffffff" opacity="0" />
 <border enabled="false"/>
 <corners type="Square"/>
 </chart_background>
 <data_plot_background>
 </data_plot_background>
 <axes>
 <y_axis >
 <scale mode="Normal" />
 <title enabled="false" />
 <labels enabled="true" position="Outside">
 
 <format><![CDATA[{%Value}{numDecimals:0,decimalSeparator:.,thousandsSeparator:\,}]]></format>
 </labels>
 <major_grid enabled="False"/>
<minor_grid enabled="False"/>
 </y_axis>
 <x_axis>
 <scale mode="Normal" />
 <title enabled="false"/>
 <labels enabled="true" position="Outside">
 
 <format><![CDATA[{%Value}{numDecimals:0,decimalSeparator:.,thousandsSeparator:\,}]]></format>
 </labels>
 <major_grid enabled="True" interlaced="false">
 <line color="Black" />
 </major_grid>
<minor_grid enabled="True">
 </minor_grid>
 </x_axis>
 </axes>
 </chart_settings>
 <data_plot_settings enable_3d_mode="false" >
 <line_series>
 <tooltip_settings enabled="true">
 <format><![CDATA[{%Name}{enabled:False} - {%Value}{numDecimals:0,decimalSeparator:.,thousandsSeparator:\,}]]></format>
 
 <position anchor="Float" valign="Top" padding="10" />
 </tooltip_settings>
 <label_settings enabled="true" mode="Outside" multi_line_align="Center">
 <format><![CDATA[{%Value}{numDecimals:0,decimalSeparator:.,thousandsSeparator:\,}]]></format>
 <background enabled="false"/>
 
 </label_settings>
 <line_style>
 <line enabled="true" thickness="1" opacity="1" />
 </line_style>
 <marker_settings enabled="True" >
 <marker type="Circle" />
 </marker_settings>
 </line_series>
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#DATA#
 </chart>
</charts>
</anychart>to
<?xml version = "1.0" encoding="utf-8" standalone = "yes"?>
<anychart>
<settings>
 <animation enabled="false"/>
 <no_data show_waiting_animation="False">
 <label>
 <text></text>
 
 </label>
 </no_data>
 <locale>
 <date_time_format>
 <format>%HH:%mm:%ss %dd/%MM/%yyyy</format>
 </date_time_format>
 </locale>
</settings>
<margin left="0" top="" right="0" bottom="0" />
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 <chart_settings>
 <title enabled="False" />
 <chart_background>
 <fill type="Solid" color="0xffffff" opacity="0" />
 <border enabled="false"/>
 <corners type="Square"/>
 </chart_background>
 <data_plot_background>
 </data_plot_background>
 <axes>
 <y_axis >
 <scale mode="Normal" />
 <title enabled="false" />
 <labels enabled="true" position="Outside">
 
 <format><![CDATA[{%Value}{numDecimals:0,decimalSeparator:.,thousandsSeparator:\,}]]></format>
 </labels>
 <major_grid enabled="False"/>
<minor_grid enabled="False"/>
 </y_axis>
 <x_axis>
 <scale mode="Normal" type="DateTime" />
 <title enabled="false"/>
 <labels enabled="true" position="Outside">
 
 <format><![CDATA[{%Value}]]></format>
 </labels>
 <major_grid enabled="True" interlaced="false">
 <line color="Black" />
 </major_grid>
<minor_grid enabled="True">
 </minor_grid>
 </x_axis>
 </axes>
 </chart_settings>
 <data_plot_settings enable_3d_mode="false" >
 <line_series>
 <tooltip_settings enabled="true">
 <format><![CDATA[{%Name}{enabled:False} - {%Value}{numDecimals:0,decimalSeparator:.,thousandsSeparator:\,}]]></format>
 
 <position anchor="Float" valign="Top" padding="10" />
 </tooltip_settings>
 <label_settings enabled="true" mode="Outside" multi_line_align="Center">
 <format><![CDATA[{%Value}{numDecimals:0,decimalSeparator:.,thousandsSeparator:\,}]]></format>
 <background enabled="false"/>
 
 </label_settings>
 <line_style>
 <line enabled="true" thickness="1" opacity="1" />
 </line_style>
 <marker_settings enabled="True" >
 <marker type="Circle" />
 </marker_settings>
 </line_series>
 </data_plot_settings>
#DATA#
 </chart>
</charts>
</anychart>and change the SQL series to:
select link, to_char(value, 'HH24:MI:SS DD/MM/YYYY') as value, label from
select null as link, sysdate -2 as value, 0 as label from dual
union
select null , sysdate -2+1/24 , 1 from dual
union
select null , sysdate -2+2/24 , 2 from dual
union
select null , sysdate -2+5/48, 1 from dual
union
select null , sysdate -2+3/24, 0 from dual)But the chart changes from a line chart to a bar chart with each value being equally spaced.
Can anyone see what I am doing wrong or point me in the right direction? Thanks in advance.

This will be a little bit lengthy answer, but I guess it will be easier to understand what I meant to say.
I created a table that contains values you used as a data source (just to make my life easier):
SQL> alter session set nls_date_format = 'dd.mm.yyyy hh24:mi:ss';
Session altered.
SQL> select * from test;
VALUE LABEL
12.10.2010 09:03:45 0
12.10.2010 10:03:45 1
12.10.2010 11:03:45 2
12.10.2010 11:33:45 1
12.10.2010 12:03:45 0
SQL> alter session set nls_date_format = 'hh24:mi';
Session altered.From now on, we'll see only hours and minutes.
Step 1: current and previous values - difference in number of MINUTES
SQL> select t.value,
2 lag(t.value) over (order by t.value) previous_value,
3 (t.value - lag(t.value) over (order by t.value)) * 24 * 60 minutes_diff
4 from test t;
VALUE PREVI MINUTES_DIFF
09:03
10:03 09:03 60
11:03 10:03 60
11:33 11:03 30
12:03 11:33 30Step 2: a little bit of calculation:
- TIME_SPAN: how many minutes are there between MIN and MAX date?
- MIN_DIFF: what is the minimum time difference (minutes)?
- SLICES: how many time slices do we want on the x-axis?
SQL> select
2 min(x.value) min_val,
3 max(x.value) max_val,
4 min(x.minutes_diff) min_diff,
5 (max(x.value) - min(x.value)) * 24 * 60 time_span,
6 (max(x.value) - min(x.value)) * 24 * 60 / min(x.minutes_diff) slices
7 from (select t.value,
8 lag(t.value) over (order by t.value) previous_value,
9 (t.value - lag(t.value) over (order by t.value)) * 24 * 60 minutes_diff
10 from test t
11 ) x;
MIN_V MAX_V MIN_DIFF TIME_SPAN SLICES
09:03 12:03 30 180 6There's 180 minutes between 09:03 and 12:03; minimum time difference in our TEST table is 30 minutes, so - we want to have 6 time slices on the x-axis (180 / 30).
Step 3: row generator technique: let's create time values that are missing:
SQL> select y.min_val + (level - 1) * y.min_diff / (24 * 60) val
2 from (select
3 min(x.value) min_val,
4 max(x.value) max_val,
5 min(x.minutes_diff) min_diff,
6 (max(x.value) - min(x.value)) * 24 * 60 time_span,
7 (max(x.value) - min(x.value)) * 24 * 60 / min(x.minutes_diff) slices
8 from (select t.value,
9 lag(t.value) over (order by t.value) previous_value,
10 (t.value - lag(t.value) over (order by t.value)) * 24 * 60 minutes_diff
11 from test t
12 ) x
13 ) y
14 connect by level <= y.slices + 1;
VAL
09:03
09:33
10:03
10:33
11:03
11:33
12:03
7 rows selected.OK, now we have 30 minutes between every time value.
Step 4: join newly generated time values with the original table. Use OUTER JOIN; missing labels will be 0 (zero):
SQL> select
2 null link,
3 to_char(z.val, 'hh24:mi') new_value,
4 nvl(t1.label, 0) new_label
5 from (select y.min_val + (level - 1) * y.min_diff / (24 * 60) val
6 from (select
7 min(x.value) min_val,
8 max(x.value) max_val,
9 min(x.minutes_diff) min_diff,
10 (max(x.value) - min(x.value)) * 24 * 60 time_span,
11 (max(x.value) - min(x.value)) * 24 * 60 / min(x.minutes_diff) slices
12 from (select t.value,
13 lag(t.value) over (order by t.value) previous_value,
14 (t.value - lag(t.value) over (order by t.value)) * 24 * 60 minutes_diff
15 from test t
16 ) x
17 ) y
18 connect by level <= y.slices + 1
19 ) z,
20 test t1
21 where t1.value (+) = z.val
22 order by z.val;
L NEW_V NEW_LABEL
09:03 0
09:33 0
10:03 1
10:33 0
11:03 2
11:33 1
12:03 0
7 rows selected.Cool, so we have them all. Now, go to Apex and create a chart using a query from step #4.
I tested it - it displays something which means that it should work for you too (unfortunately, this forum doesn't accept attachments so that you could see it). Now, I can't tell whether that's what you need or not, but - if the idea itself is OK, it can be adjusted (I hope so).

Scatter charts with dates

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