1460707955-122d7386-d462-4d60-9f93-9e13158ccdf5

1. A compound of the formula
in which
R is deuterium, halogen, or hydrogen;
R1 is aryl-C0-C4-alkyl or heterocyclyl-C0-C4-alkyl, which radicals are unsubstituted or substituted by 1-4 C1-C8 alkoxy, C1-C8 alkoxycarbonyl, C1-C8 alkyl, C0-C8 alkylcarbonyl, C1-C8 alkylsulphonyl, unsubstituted or substituted aryl, aryl-C0-C4 alkoxycarbonyl, cyano, halogen, unsubstituted or substituted heterocyclyl, hydroxy, nitro, oxide, oxo, tri-C1-C4 alkylsilyl, trifluoromethoxy or trifluoromethyl, wherein the heterocyclyl of the heterocyclyl-C0-C4-alkyl stands for a saturated, partially saturated or unsaturated, 4-8-membered monocyclic ring system, or a saturated, partially saturated or unsaturated, 7-12-membered bicyclic ring system, or a partially saturated or unsaturated, 9-12-membered tricyclic ring system which comprises an N, O or S atom in at least one of the rings, it being possible for an additional N, O or S atom to be present in one ring;
R2 is
a) deuterium, halogen, hydroxy, cyano or hydrogen; or
b) C2-C8 alkenyl, C2-C8 alkynyl, C1-C8 alkoxy, C1-C4 alkoxycarbonyl-C1-C4 alkyl, C1-C8 alkyl, C0-C4 alkylcarbonyl, aryl-C0-C4 alkyl, carboxy-C1-C4 alkyl, C3-C8 cycloalkyl or heterocyclyl-C0-C4 alkyl, which radicals are unsubstituted or substituted by 1-4 C1-C8 alkoxy, C1-C8 alkoxycarbonyl, C1-C8 alkyl, C0-C8 alkylcarbonyl, C1-C8 alkylsulphonyl, unsubstituted or substituted aryl, aryl-C0-C4 alkoxycarbonyl, cyano, halogen, unsubstituted or substituted heterocyclyl, hydroxy, nitro, oxide, oxo, tri-C1-C4 alkylsilyl, trifluoromethoxy or trifluoromethyl;

R3 is C1-C8 alkyl;
Q is oxygen;
m is a number 0, 1 or 2;
n is 1;
or a pharmaceutically acceptable salt thereof,
where
R1 is not C1-C8 alkyl-substituted aryl if R2 is hydrogen, and which compound shows an aromatase inhibitory activity at least 10 times higher, than the compound of the formula (I) with the opposite configuration around the asymmetric carbon atom labelled \u201c*\u201d.
2. A compound according to claim 1, where R is deuterium or hydrogen.
3. A compound according to claim 1, where R1 is optionally substituted phenyl, optionally substituted naphthyl, benzofuranyl, benzobthiophenyl, benzoimidazolyl, benzodisothiazolyl, benzodisoxazolyl, benzobthiophenyl, imidazolyl, indazolyl, oxazolyl, pyridyl, pyrrolyl, thiazolyl or thiophenyl.
4. A compound according to claim 1, where R2 is C1-C8 alkoxy, hydroxy, C1-C8 alkyl, optionally substituted aryl-C0-C4 alkyl, deuterium, halogen, cyano or hydrogen.
5. A method for the treatment of estrogen-dependent breast cancer, which comprises administering to a subject having the disease a therapeutically effective amount of a compound of the formula (I) or a pharmaceutically acceptable salt thereof according to claim 1.
6. A method for the treatment of gynaecomastia, which comprises administering to a subject having gynaecomastia a therapeutically effective amount of a compound of the formula (I) or a pharmaceutically acceptable salt thereof according to claim 1.
7. A pharmaceutical composition comprising a compound of formula (I) or a pharmaceutically acceptable salt thereof according to claim 1, and a pharmaceutically acceptable excipient.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1. A digital imaging device for capturing an image and generating a color signal from the image for application to an output device having specific color sensitivities, said imaging device further being one of many devices of the same type useful with the output device, said digital imaging device comprising:
a color sensor for capturing the image and generating the color signal from the captured image, said color sensor having predetermined spectral sensitivities;
an optical section having predetermined spectral characteristics, said optical section interposed in image light from the image directed to the color sensor thereby imparting the predetermined spectral characteristics to the image light, the combination of the spectral sensitivities of the color sensor and the spectral characteristics of the optical section uniquely distinguishing the imaging device from other imaging devices of the same type; and
a set of matrix coefficients uniquely determined for the imaging device in order to generate an optimized color signal, wherein said matrix coefficients are (a) automatically calculated by a matrix coefficient calculation from image data obtained by the color sensor from a color chart and (b) used for correcting the spectral sensitivities of the color sensor and the spectral characteristics of the optical section for the color sensitivities of the output device.
2. An imaging device as claimed in claim 1 in which the optical section includes a lens for directing the image light from the image upon the color sensor, said lens having a predetermined lens spectral characteristic, and wherein the matrix coefficients correct the lens spectral characteristic for the color sensitivities of the output device.
3. An imaging device as claimed in claim 1 in which the optical section includes a blurry filter for spatially low pass filtering the image light directed upon the color sensor, said blur filter having a predetermined spectral characteristic, and wherein the matrix coefficients correct the spectral characteristic for the color sensitivities of the output device.
4. An imaging device as claimed in claim 1 in which the optical section includes an infrared cutoff filter for filtering the image light directed upon the color sensor, said infrared cutoff filter having a predetermined infrared spectral characteristic, and wherein the matrix coefficients correct the infrared spectral characteristic for the color sensitivities of the output device.
5. An imaging device as claimed in claim 1 wherein the color sensor includes a color filter array for color filtering the image light directed upon the color sensor, said color filter array having a predetermined color filter spectral characteristic, and wherein the matrix coefficients correct the color filter spectral characteristic for the color sensitivities of the display device.
6. An imaging device as claimed in claim 1 wherein the imaging device comprises a digital camera.
7. An imaging device as claimed in claim 1 wherein the imaging device comprises a digital scanner.
8. An imaging device as claimed in claim 1 wherein the output device comprises a display device.
9. An imaging device as claimed in claim 1 wherein the output device comprises a printing device.
10. An imaging device as claimed in claim 1 further comprising a color processing section for implementing a matrix coefficient on the color signal in order to generate the optimized color signal, said color processing section using the set of matrix coefficients that are uniquely determined for the imaging device in order to generate the optimized color signal.
11. An imaging device as claimed in claim 1 in which the optical section and the set of matrix, coefficients are included on a sub-assembly that is removable from the digital imaging device for purpose of servicing and repair of the imaging device.
12. An imaging device as claimed in claim 1 in which the output device is a reference device, and said matrix coefficients correct the spectral sensitivities of the color sensor and the spectral characteristics of the optical section for the reference color sensitivities of the output device.
13. An electronic imaging system including a component useful with an imaging device as claimed in claim 1, wherein the computer comprises a color processing section for implementing a matrix connection on thee color signal using the set of matrix coefficients in order to generate the optimized color signal, and the imaging device provides the color signal together with the matrix coefficients to the computer.
14. An imaging device as claimed in claim 1 in which the optical section includes a lens for directing the image light from the image upon the color sensor, said lens being removable from the imaging device and having a predetermined reference lens spectral characteristic, and wherein the matrix coefficients correct the reference lens spectral characteristic for the color sensitivities of the output device.
15. An imaging device as claimed in claim 1 in which the output device is represented by a connection space, and said matrix coefficients are part of a device profile for connecting the spectral sensitivities of the color sensor and the spectral characteristics of the optical section for the color sensitivities of the connection space.
16. A digital camera for capturing an image and generating a color signal from the image for input to an intended display device having specific color sensitivities, said camera further being one of many cameras of the same type useful with the display device, said camera comprising:
a color sensor for capturing the image and generating the color signal from the captured image, said color sensor having predetermined spectral sensitivities defining the color response of the color sensor;
a lens for directing image light from the image upon the color sensor, said lens having a predetermined lens spectral characteristic;
an infrared cutoff filter having a predetermined infrared spectral characteristic for filtering the image light directed upon the color sensor;
the combination of said spectral sensitivities of the color sensor and the spectral characteristics of the lens and the infrared cutoff filter uniquely distinguishing the digital camera from other digital cameras of the same type; and
a matrix storage containing a set of matrix coefficients uniquely determined for the camera in order to generate an optimized color signal, wherein said matrix coefficients are (a) automatically calculated by a matrix coefficient calculation from image data obtained by the color sensor from a color chart and (b) used for correcting the spectral sensitivities of the color sensor and the spectral characteristics of the lens and the infrared cutoff filter for the color sensitivities of the intended display device.
17. A digital camera as claimed in claim 16 further comprising a blur filter having a predetermined low pass spatial characteristic for low pass filtering the image light directed upon the color sensor, and wherein the matrix coefficients further correct the spectral characteristic of the blur filter for the color sensitivities of the intended display device.
18. A digital camera as claimed in claim 16 wherein the color sensor includes a color filter array for color filtering the image light directed upon the color sensor, said color filter array having a predetermined color filter spectral characteristics, and wherein the matrix coefficients correct the spectral characteristic of the color filter array for the color sensitivities of the intended display device.
19. A digital camera as claimed in claim 16 further comprising a color processing section for implementing a matrix correction of the color signal in order to generate the optimized color signal, said color processing section using the set of matrix coefficients in the matrix storage that are uniquely determined for this digital camera in order to generate the optimized color signal.
20. An electronic imaging system including a computer useful with a digital camera as claimed in claim 16, wherein the computer comprises a color processing section for implementing a matrix correction on the color signal using the set of matrix coefficients in the matrix storage in order to generate the optimized color signal, and the digital camera provides the color signal together with the matrix coefficients to the computer.
21. A digital camera for capturing an image and generating an optimized color signal from the image for input to an intended display device having specific color sensitivities, said camera further being one of many cameras of the same type useful with the display device, said camera comprising:
a color sensor comprising a color filter array and a photosensor for capturing the image and generating a color signal from the captured image, said color sensor having predetermined spectral sensitivities defining the color response of a specific color sensor employed in the digital camera;
an optical section including at least a lens for directing image light from the image upon the color sensor and an infrared cutoff filter for filtering the image light directed upon the color sensor, said optical section having optical spectral characteristics comprised of a specific lens spectral characteristic which together define the optical response of a specific optical section employed in the digital camera;
the combination of said spectral sensitivities of the color sensor and the spectral characteristics of the optical section uniquely distinguishing the digital camera from other digital cameras of the same type;
a memory containing matrix coefficients uniquely determined by a matrix coefficient calculation for use by the camera in order to generate the optimized color signal, wherein said matrix coefficients are (a) automatically computed from image data obtained by the color sensor from a color chart and (b) used for correcting the spectral sensitivities of the color sensor and the spectral characteristics of the optical section for the color sensitivities of the intended display device; and
a color processing section for implementing a matrix correction on the color signal using the matrix coefficients in the memory in order to generate the optimized color signal.
22. A digital camera as claimed in claim 21 wherein said optical section further includes a blur filter for spatially low pass filtering the image light directed upon the color sensor, said blur filter having a predetermined spectral characteristic, and wherein the matrix coefficients further correct the spectral characteristic of the blur filter for the color sensitivities of the intended display device.
23. A digital camera for capturing an image and generating a color signal from the image for input through an external processor to an intended display device having specific color sensitivities, said external processor including a color processing section for implementing a matrix correction on the color signal in order to generate an optimized color signal, said camera further being one of many cameras of the same type useful with the display device, said camera comprising:
a color sensor comprising a color filter array and a photosensor for capturing the image and generating the color signal from the captured image, said color sensor having predetermined spectral sensitivities defining the color response of the sensor;
an optical section including at least a lens for directing image light from the image upon the color sensor and an infrared cutoff filter for filtering the image light directed upon the color sensor, said optical section having optical spectral characteristics comprised of a specific lens spectral characteristic which together define the optical response of a specific optical section employed in the digital camera;
the combination of said spectral sensitivities of the color sensor and the spectral characteristics of the optical section uniquely distinguishing the digital camera from other digital cameras of the same type;
a memory containing matrix coefficients uniquely determined for the camera in order to generate the optimized color signal, wherein said matrix coefficients are (a) automatically calculated by a matrix coefficient calculation from image data obtained by the color sensor from a color chart and (b) used for correcting the spectral sensitivities of the color sensor and the spectral characteristics of the optical section for the color sensitivities of the intended display device; and
means for providing the color signal and the matrix coefficients to the external processor.
24. A digital camera as claimed in claim 23 wherein said optical section further includes a blur filter for spatially low pass filtering the image light directed upon the color sensor, said blur filter having a predetermined spectral characteristic controlling the response of the optical section, and wherein the matrix coefficients further correct the spectral characteristics of the filter for the color sensitivities of the intended display device.
25. A digital camera for capturing an image and generating a color signal from the captured image, said camera comprising:
a main assembly for housing the camera; and
a removable subassembly including a color sensor having specific color sensitivities for capturing the image and generating the color signal, an optical section including at least a lens and an infrared filter having respective lens and cutoff spectral characteristics, and a memory device containing matrix coefficients for color correcting the spectral sensitivities of the color sensor and the spectral characteristics of the optical section for the color sensitivities of the display device;
a signal processing section for processing the color signal generated by the color sensor;
electrical connecting means for replaceably interconnecting the signal processing section and the subassembly; and
a color processing section for implementing a matrix correction on the color signal using the matrix coefficients in the memory device in order to generate an optimized color signal.
26. A digital camera for capturing an image and outputting a color image signal to an external processor, said external processor including a color processing section for implementing a matrix correction on the color image signal in order to generate an optimized color signal from the captured image, said camera comprising:
a main assembly for housing the camera;
a removable subassembly including a color sensor having specific color sensitivities for capturing the image and generating a color signal, an optical section including at least a lens and an infrared filter having respective lens and cutoff spectral characteristics, and a memory device containing matrix coefficients for color correcting the spectral sensitivities of the color sensor and the spectral characteristics of the optical section for the color sensitivities of the display device;
a signal processing section for processing the color signal generated by the color sensor;
electrical connecting means for replaceably interconnecting the signal processing section and the subassembly; and
means for providing the color image signal and the matrix coefficients to the external processor.
27. A digital camera for capturing an image and generating a color signal from the image for input through an external processor operative in a connection space having specific color sensitivities defined by a set of color matching functions, said external processor including a color processing section for implementing a matrix correction on the color signal in order to generate an optimized color signal, said camera further being one of many cameras of the same type, said camera comprising:
a color sensor comprising a color filter array and a photosensor for capturing the image and generating the color signal from the captured image, said color sensor having predetermined spectral sensitivities defining the color response of the sensor;
an optical section including at least a lens for directing image light from the image upon the color sensor and an infrared cutoff filter for filtering the image light directed upon the color sensor, aid optical section having optical spectral characteristics comprised of a specific lens spectral characteristics which together define the optical response of a specific optical section employed in the digital camera;
the combination of said spectral sensitivities of the color sensor and the spectral characteristics of the optical section uniquely distinguishing the digital camera from other digital cameras of the same type;
a memory containing matrix coefficients uniquely determined for the camera in order to generate the optimized color signal, wherein said matrix coefficients being are (a) automatically calculated by a matrix coefficient calculation from image data obtained by the color sensor from a color chart and (b) used as part of a device profile for correcting the spectral sensitivities of the color sensor and the spectral characteristics of the optical section for the color sensitivities of the connection space; and
means for providing the color signal and the matrix coefficients to the external processor.
28. A digital camera as claimed in claim 27 wherein said optical section further includes a blur filter for spatially low pass filtering the image light directed upon the color sensor, said blur filter having a predetermined spectral characteristic controlling the response of the optical section, and wherein the matrix coefficients further correct the spectral characteristic of the blur filter for the color sensitivities of the connection space.
29. An imaging device as claimed in claim 1 wherein the matrix coefficient calculation comprises processing blocks for (a) measuring spectral characteristics of colors of the color chart as illuminated by an illuminant and computing colorimetric values for each colorilluminant combination from the measured spectral characteristics, thereby obtaining a set of colorimetric aims for the imaging device, (b) capturing an image of the color chart by using the color sensor, thereby obtaining color image data representative of the image of the color chart, (c) processing the color image data in a color-correction matrix comprising a set of adjustable, color-correction coefficients and generating reproduction signals for the colors of the color chart, and (d) iteratively adjusting the adjustable, color-correction coefficients until the error between the reproduction signals and the colorimetric aims is reduced to a predetermined level.
30. A digital camera as claimed in claim 16 wherein the matrix coefficient calculation comprises processing blocks for (a) measuring spectral characteristics of colors of the color chart as illuminated by an illuminant and computing colorimetric values for each colorilluminant combination from the measured spectral characteristics, thereby obtaining a set of colorimetric aims for the imaging device, (b) capturing an image of the color chart by using the color sensor, thereby obtaining color image data representative of the image of the color chart, (c) processing the color image data in a color-correction matrix comprising a set of adjustable, color-correction coefficients and generating reproduction signals for the colors of the color chart, and (d) iteratively adjusting the adjustable, color-correction coefficients until the error between the reproduction signals and the colorimetric aims is reduced to a predetermined level.
31. A digital camera as claimed in claim 21 wherein the matrix coefficient calculation comprises processing blocks for (a) measuring spectral characteristics of colors of the color chart as illuminated by an illuminant and computing colorimetric values for each colorilluminant combination from the measured spectral characteristics, thereby obtaining a set of colorimetric aims for the imaging device, (b) capturing an image of the color chart by using the color sensor, thereby obtaining color image data representative of the image of the color chart, (c) processing the color image data in a color-correction matrix comprising a set of adjustable, color-correction coefficients and generating reproduction signals for the colors of the color chart, and (d) iteratively adjusting the adjustable, color-correction coefficients until the error between the reproduction signals and the colorimetric aims is reduced to a predetermined level.
32. A digital camera as claimed in claim 23 wherein the matrix coefficient calculation comprises processing blocks for (a) measuring spectral characteristics of colors of the color chart as illuminated by an illuminant and computing colorimetric values for each colorilluminant combination from the measured spectral characteristics, thereby obtaining a set of colorimetric aims for the imaging device, (b) capturing an image of the color chart by using the color sensor, thereby obtaining color image data representative of the image of the color chart, (c) processing the color image data in a color-correction matrix comprising a set of adjustable, color-correction coefficients and generating reproduction signals for the colors of the color chart, and (d) iteratively adjusting the adjustable, color-correction coefficients until the error between the reproduction signals and the colorimetric aims is reduced to a predetermined level.
33. A digital camera as claimed in claim 27 wherein the matrix coefficient calculation comprises processing blocks for (a) measuring spectral characteristics of colors of the color chart as illuminated by an illuminant and computing colorimetric values for each color-illuminant combination from the measured spectral characteristics, thereby obtaining a set of colorimetric aims for the imaging device, (b) capturing an image of the color chart by using the color sensor, thereby obtaining color image data representative of the image of the color chart, (c) processing the color image data in a color-correction matrix comprising a set of adjustable, color-correction coefficients and generating reproduction signals for the colors of the color chart, and (d) iteratively adjusting the adjustable, color-correction coefficients until the error between the reproduction signals and the colorimetric aims is reduced to a predetermined level.

1460707947-d42687ee-80a8-48e2-8635-d2d66052b73e

1. A computer-readable hardware storage medium storing instructions, that when executed by a processor, cause the processor to:
receive input comprising a column definition of a particular column of a first table, wherein the input includes a data analysis expression based on at least one column of the first table other than the particular column and based on at least one column of a second table;
determine a relationship between the first table and the second table based on the data analysis expression; and
populate the particular column by executing the data analysis expression, wherein executing the data analysis expression for a particular row of the first table comprises:
receiving a query associated with a user input;
generating a command to calculate a value of the data analysis expression based on the query;
calculating the value of the data analysis expression based on first data in the particular row of the first table and second data retrieved from the second table based on a filter context associated with the particular row; and
outputting the calculated value at a cell, wherein the cell is a member of the particular column and the particular row.
2. The computer-readable hardware storage medium of claim 1, further storing instructions, that when executed by the processor, cause the processor to:
receive a selection of a subset of rows of the first table; and
automatically re-execute the data analysis expression for the selected subset of rows.
3. The computer-readable hardware storage medium of claim 1, wherein the data analysis expression includes a user-defined formula.
4. The computer-readable hardware storage medium of claim 1, wherein the data analysis expression includes a formula to be aggregated over rows of at least one data table.
5. The computer-readable hardware storage medium of claim 4, wherein the data analysis expression includes at least one aggregation selected from the group consisting of: a sum pivot table aggregation, an average pivot table aggregation, a minimum pivot table aggregation, a maximum pivot table aggregation, and a count pivot table aggregation, wherein the at least one aggregation may be performed for a plurality of expressions other than the data analysis expression.
6. The computer-readable hardware storage medium of claim 1, wherein the relationship includes a related column that is an index column of the first table, an index column of the second table, or any combination thereof.
7. A computer system comprising:
one or more computing devices;
memory storing one or more components, the one or more components comprising;
a data interface component configured to receive data and to store the received data at a data table in a multi-dimensional cube data structure at the memory;
a pivot table component configured to generate a pivot table based on the data table;
an analysis component configured to:
receive a data analysis expression;
receive a query associated with the multi-dimensional cube data structure; and
execute the data analysis expression based on receiving the query for a first cell and a second cell of the pivot table, wherein a first row context is associated with the first cell and a second row context is associated with the second cell, and wherein executing the data analysis expression for the first cell of the pivot table comprises:
determining a first row context associated with the first cell;
retrieving data associated with one or more rows of the pivot table corresponding to the first row context from the multi-dimensional cube data structure;
calculating a value of the data analysis expression based on the retrieved data; and
outputting the calculated value at the first cell.
8. The computer system of claim 7, wherein the memory is a random access memory (RAM).
9. The computer system of claim 7, wherein the multi-dimensional cube data structure is an online analytical processing (\u201cOLAP\u201d) cube data structure.
10. The computer system of claim 7, wherein the data analysis expression includes a user-defined formula.
11. The computer system of claim 7, further comprising automatically re-executing the data analysis expression in response to a pivot operation of the pivot table.
12. The computer system of claim 7, wherein the data analysis expression includes a reference to a column of at least one data table, wherein the reference to the column resolves to the column when the reference is used in a column calculation, and wherein the reference to the column resolves to a value stored at a particular row of the column when the reference is used in a scalar calculation.
13. The computer system of claim 7, wherein determining the context associated with the first cell includes filtering based on the first cell.
14. A method executing on one or more processors, the method causing the one or more processors to:
receive an input comprising a column definition of a particular column of a first table, wherein the input includes a data analysis expression based on at least one column of a second table from a first data structure and based on at least one column of a third table from a second data structure;
determine a relationship between the second table and the third table; and
populate the particular column of the first table by executing the data analysis expression, wherein executing the data analysis expression for a particular row of the first table comprises:
receiving a query associated with a user input;
calculating a value of the data analysis expression based on the query, wherein calculating the value based on the query is based on first data retrieved from the second table and second data retrieved from the third table based on a filter context associated with the particular row; and
outputting the calculated value at a cell, wherein the cell is a member of the particular column and the particular row of the first table.
15. The method of claim 14 wherein the first data structure is an online analytical processing (\u201cOLAP\u201d) cube.
16. The method of claim 14, wherein the method further causes the one or more processors to:
receive a selection of a subset of the particular row of the first table; and
automatically re-execute the data analysis expression for the subset of the particular row of the first table.
17. The method of claim 14, wherein the data analysis expression includes a formula.
18. The method of claim 17, wherein the data analysis expression includes a formula associated with at least one aggregation, wherein the at least one aggregation is selected from the group consisting of: a sum pivot table aggregation, an average pivot table aggregation, a minimum pivot table aggregation, a maximum pivot table aggregation, and a count pivot table aggregation.
19. The method of claim 14, wherein the data analysis expression includes at least one time-based function.
20. The method of claim 14, wherein the data analysis expression includes a related table function, a relatedtable table function, a filter table function, a distinct table function, a values table function, an all table function, an allexcept table function, an allnoblankrow table function, or any combination thereof.
21. A system comprising:
one or more processors;
one or more memory components storing computer-executable instructions embodied thereon that, when executed by one or more processors, enable:
receiving a first input comprising a column definition of a particular column of a first table, wherein the first input includes a data analysis expression based on at least one column of a second table from a first data structure and based on at least one column of a third table from a second data structure;
identifying a relationship between the second table and the third table; and
populating the particular column of the first table by executing the data analysis expression, wherein executing the data analysis expression for a particular row of the first table comprises:
receiving a query associated with a second input, wherein the second input is a user input;
calculating a value of the data analysis expression based on first data retrieved from the second table and second data retrieved from the third table based on a filter context associated with the particular row, in response to the query; and
outputting the calculated value at a cell, wherein the cell is a member of the particular column and the particular row of the first table.
22. The system of claim 21 wherein the first data structure is an online analytical processing (\u201cOLAP\u201d) cube.
23. The system of claim 21, wherein the system further comprises one or more memory components storing computer-executable instructions embodied thereon that, when executed by one or more processors, enable:
receiving a selection of a subset of the particular row of the first table; and
automatically re-executing the data analysis expression for the subset of the particular row of the first table.
24. The system of claim 21, wherein the data analysis expression includes a formula.
25. The system of claim 21, wherein the data analysis expression includes a formula associated with at least one aggregation, wherein the at least one aggregation is selected from the group consisting of: a sum pivot table aggregation, an average pivot table aggregation, a minimum pivot table aggregation, a maximum pivot table aggregation, and a count pivot table aggregation.
26. The system of claim 21, wherein the data analysis expression includes at least one time-based function.
27. The system of claim 21, wherein the data analysis expression includes a related table function, a relatedtable table function, a filter table function, a distinct table function, a values table function, an all table function, an allexcept table function, an allnoblankrow table function, or any combination thereof.
28. A computer-readable hardware storage medium comprising instructions that, when executed by one or more processors, cause the one or more processors to:
receive a first input comprising a column definition of a particular column of a first table, wherein the first input includes a data analysis expression based on at least one column of a second table from a first data structure and based on at least one column of a third table from a second data structure;
determine a relationship between the second table and the third table; and
populate the particular column of the first table by executing the data analysis expression, wherein executing the data analysis expression for a particular row of the first table comprises:
receiving a query associated with a second input, wherein the second input is a user input;
based on the query, calculating a value of the data analysis expression that is based on first data retrieved from the second table and second data retrieved from the third table, based on a filter context associated with the particular row; and
outputting the calculated value at a cell, wherein the cell is a member of the particular column and the particular row of the first table.
29. The computer-readable hardware storage medium of claim 28 wherein the first data structure is an online analytical processing (\u201cOLAP\u201d) cube.
30. The computer-readable hardware storage medium of claim 28, further comprising instructions, that when executed by one or more processors, cause the one or more processors to:
receive a selection of a subset of the particular row of the first table; and
automatically re-execute the data analysis expression for the subset of the particular row of the first table.
31. The computer-readable hardware storage medium of claim 28, wherein the data analysis expression includes a formula.
32. The computer-readable hardware storage medium of claim 28, wherein the data analysis expression includes a formula associated with at least one aggregation, wherein the at least one aggregation is selected from the group consisting of: a sum pivot table aggregation, an average pivot table aggregation, a minimum pivot table aggregation, a maximum pivot table aggregation, and a count pivot table aggregation.
33. The computer-readable hardware storage medium of claim 28, wherein the data analysis expression includes at least one time-based function.
34. The computer-readable hardware storage medium of claim 28, wherein the data analysis expression includes a related table function, a relatedtable table function, a filter table function, a distinct table function, a values table function, an all table function, an allexcept table function, an allnoblankrow table function, or any combination thereof.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1. A multi-plate extrusion die for producing a multi-component extrusion having an upstream and a downstream direction, comprising:
a primary aperture extending in the downstream direction for a primary extrudate fed from a primary extruder, the primary extrudate being formed by the primary aperture into substantially a final shape of the multi-component extrusion, the primary extrudate having a prong mounting face and having a non-prong surface,
a base capstocking conduit for a capstocking extrudate
fed from a capstocking extruder where the base capstocking conduit joins with the primary aperture and applies a base capstocking layer on the prong mounting face of the primary extrudate,
a prong capstocking conduit for the capstocking extrudate fed from the capstocking extruder, where the prong capstocking conduit forms a prong and where the prong capstocking conduit joins with the primary aperture downstream of the base capstocking conduit and attaches a base end of the prong to the base capstocking layer on the prong mounting face of the primary extrudate.
2. The multi-plate extrusion die of claim 1, wherein
the base capstocking conduit joins with the primary aperture and applies the capstocking layer on the non-prong portion of the primary extrudate.
3. The multi-plate extrusion die of claim 1, further comprising,
a surface capstocking conduit joins with the primary aperture and applies the capstocking extrudate to the non-prong surface of the primary extrudate.
4. The multi-plate extrusion die of claim 1, wherein the primary extrudate is a thermoplastic resin formed into a hollow, thin walled extrusion.
5. The multi-plate extrusion die of claim 4, wherein the thermoplastic resin is PVC resin.
6. The multi-plate extrusion die of claim 1, wherein the primary extrudate is a foamed thermoplastic resin.
7. The multi-plate extrusion die of claim 6, wherein the thermoplastic resin is a foamed PVC resin.
8. The multi-plate extrusion die of claim 6, wherein the thermoplastic resin is a foamed SAN resin.
9. The multi-plate extrusion die of claim 1, wherein the capstocking extrudate is a PVC resin.
10. A method for producing a multi-component extrusion, comprising:
forming a primary extrudate within a multi-plate extrusion die fed from a primary extruder into a substantially final shape of the multi-component extrusion, such primary extrudate having a prong mounting face and having a non-prong surface,
applying a base capstocking layer of a capstocking extrudate on the prong mounting face of the primary extrudate within the multi-plate extrusion die with a capstocking extruder,
forming a prong within the multi-plate extrusion die of capstocking extrudate from a capstocking extruder,
attaching the prong to the base capstocking layer within the multi-plate extrusion die.
11. The method of claim 10, wherein the primary extrudate is a thermoplastic resin and is formed into a hollow, thin walled extrusion.
12. The method of claim 10, wherein the thermoplastic resin is a PVC resin.
13. The method of claim 10, wherein the primary extrudate is a foamed thermoplastic resin and is formed into a solid extrusion.
14. The method of claim 13, wherein the foamed thermoplastic resin is foamed SAN resin.
15. The method of claim 14, wherein the foamed thermoplastic resin is foamed PVC resin.
16. The method of claim 10, wherein the capstocking extrudate is a PVC resin.
17. The method of claim 10, further comprising applying a capstocking layer of the capstocking extrudate to the non-prong surface of the primary extrudate within the multi-plate extrusion die with the capstocking extruder.
18. A multi-component extrusion having a snap-in connector prong, comprising:
a primary extrudate of a predetermined shape having a prong mounting face and a non-prong surface,
a base capstocking layer formed of a capstocking extrudate on the prong mounting face of the primary extrudate,
a prong for use as a snap-in connector where the prong is formed of the capstocking extrudate and is attached to the base capstocking layer.
19. The multi-component extrusion of claim 18, wherein the primary extrudate is a hollow, thin walled extrusion formed of thermoplastic resin.
20. The multi-component extrusion of claim 19, wherein the thermoplastic resin is a PVC resin.
21. The multi-component extrusion of claim 18, wherein the primary extrudate is a solid foamed extrusion formed from a foamed thermoplastic resin.
22. The multi-component extrusion of claim 21, wherein the foamed thermoplastic resin is foamed SAN resin.
23. The multi-component extrusion of claim 22, wherein the foamed thermoplastic resin is foamed PVC resin.
24. The multi-component extrusion of claim 18, wherein the capstocking extrudate is a PVC resin.
25. The multi-component extrusion of claim 18, further comprising a second prong for use as the snap-in connector where the second prong is formed of the capstocking extrudate and is attached to the base capstocking layer.