Regarding Question #229782005-11-30 09:18:01Hi,
thanks for the tip.
I tried using the normalized table and got some error
on it.
The error concerns the fact that the rowspan was
defined, but in the normalized table it appeared in
each row from the point it was defined, and removing
the suffix tds data
the source XML File is
<table>
<tbody>
<tr>
<td colspan="3">Metric</td>
<td colspan="13">Number All</td>
<td colspan="13">Number Is FCR time</td>
</tr>
<tr>
<td colspan="3">Quarter</td>
<td colspan="4">Q4 2002</td>
<td colspan="4">Q3 2002</td>
<td colspan="4">Q2 2002</td>
<td rowspan="2">Total</td>
<td colspan="4">Q4 2002</td>
<td colspan="4">Q3 2002</td>
<td colspan="4">Q2 2002</td>
<td rowspan="2">Total</td>
</tr>
<tr>
<td>Resource</td>
<td>Call Type</td>
<td>Forecasting Type</td>
<td>Dec</td>
<td>Nov</td>
<td>Oct</td>
<td>Total</td>
<td>Sep</td>
<td>Aug</td>
<td>Jul</td>
<td>Total</td>
<td>Jun</td>
<td>May</td>
<td>Apr</td>
<td>Total</td>
<td>Dec</td>
<td>Nov</td>
<td>Oct</td>
<td>Total</td>
<td>Sep</td>
<td>Aug</td>
<td>Jul</td>
<td>Total</td>
<td>Jun</td>
<td>May</td>
<td>Apr</td>
<td>Total</td>
</tr>
<tr>
<td rowspan="4">U.S. North</td>
<td rowspan="3">SCO</td>
<td>Linear Regression</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td/>
<td/>
<td/>
<td/>
<td>10.0</td>
<td>74.77</td>
<td>62.62</td>
<td>50.17</td>
<td>62.33</td>
<td>38.00</td>
<td>26.00</td>
<td>13.82</td>
<td>25.75</td>
<td/>
<td/>
<td/>
<td/>
<td>44.18</td>
</tr>
<tr>
<td>Moving Average</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td/>
<td/>
<td/>
<td/>
<td>10.0</td>
<td>9.00</td>
<td>9.00</td>
<td>9.00</td>
<td>9.00</td>
<td>9.00</td>
<td>9.00</td>
<td>9.00</td>
<td>9.00</td>
<td/>
<td/>
<td/>
<td/>
<td>9.00</td>
</tr>
<tr>
<td>No Forecasting</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td>10.0</td>
<td>10.0</td>
<td/>
<td/>
<td/>
<td/>
<td>10.0</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td>9.00</td>
<td>9.00</td>
<td/>
<td/>
<td/>
<td/>
<td>9.00</td>
</tr>
<tr>
<td colspan="2">Total:U.S. North</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td>10.0</td>
<td/>
<td/>
<td/>
<td/>
<td>10.0</td>
<td>41.89</td>
<td>35.81</td>
<td>29.59</td>
<td>35.67</td>
<td>23.50</td>
<td>17.50</td>
<td>11.21</td>
<td>17.13</td>
<td/>
<td/>
<td/>
<td/>
<td>26.33</td>
</tr>
<tr>
<td rowspan="4">U.S. South</td>
<td rowspan="3">SCO</td>
<td>Linear Regression</td>
<td>20.0</td>
<td>16.5</td>
<td>13.1</td>
<td>16.5</td>
<td>9.6</td>
<td>6.2</td>
<td>2.9</td>
<td>6.3</td>
<td>1.0</td>
<td/>
<td/>
<td>1.0</td>
<td>11.4</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td/>
<td/>
<td>0.00</td>
<td>0.00</td>
</tr>
<tr>
<td>Moving Average</td>
<td>1.0</td>
<td>1.0</td>
<td>1.0</td>
<td>1.0</td>
<td>1.0</td>
<td>1.0</td>
<td>1.0</td>
<td>1.0</td>
<td>1.0</td>
<td/>
<td/>
<td>1.0</td>
<td>1.0</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td/>
<td/>
<td>0.00</td>
<td>0.00</td>
</tr>
<tr>
<td>No Forecasting</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td>1.5</td>
<td>1.5</td>
<td>1.0</td>
<td/>
<td/>
<td>1.0</td>
<td>1.3</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td/>
<td/>
<td>0.00</td>
<td>0.00</td>
</tr>
<tr>
<td colspan="2">Total:U.S. South</td>
<td>10.5</td>
<td>8.8</td>
<td>7.0</td>
<td>8.7</td>
<td>5.3</td>
<td>3.6</td>
<td>2.0</td>
<td>3.6</td>
<td>1.0</td>
<td/>
<td/>
<td>1.0</td>
<td>6.2</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td>0.00</td>
<td/>
<td/>
<td>0.00</td>
<td>0.00</td>
</tr>
<tr>
<td colspan="3">Total</td>
<td>10.2</td>
<td>9.4</td>
<td>8.5</td>
<td>9.4</td>
<td>7.6</td>
<td>6.8</td>
<td>6.2</td>
<td>6.9</td>
<td>1.0</td>
<td/>
<td/>
<td>1.0</td>
<td>8.1</td>
<td>20.94</td>
<td>17.90</td>
<td>14.79</td>
<td>17.83</td>
<td>11.75</td>
<td>8.75</td>
<td>5.98</td>
<td>8.76</td>
<td>0.00</td>
<td/>
<td/>
<td>0.00</td>
<td>13.24</td>
</tr>
</tbody>
</table>
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