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import variables from '@styles/common/variables.module.scss'; | ||
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const colors = { | ||
primary: { | ||
100: variables.primary100, | ||
75: variables.primary75, | ||
50: variables.primary50, | ||
25: variables.primary25, | ||
10: variables.primary10, | ||
5: variables.primary05, | ||
}, | ||
black: { | ||
100: variables.black100, | ||
75: variables.black75, | ||
50: variables.black50, | ||
25: variables.black25, | ||
10: variables.black10, | ||
5: variables.black05, | ||
}, | ||
white: { | ||
100: variables.white100, | ||
75: variables.white75, | ||
50: variables.white50, | ||
25: variables.white25, | ||
10: variables.white10, | ||
5: variables.white05, | ||
}, | ||
success: { | ||
100: variables.success100, | ||
75: variables.success75, | ||
50: variables.success50, | ||
25: variables.success25, | ||
10: variables.success10, | ||
5: variables.success05, | ||
}, | ||
error: { | ||
100: variables.error100, | ||
75: variables.error75, | ||
50: variables.error50, | ||
25: variables.error25, | ||
10: variables.error10, | ||
5: variables.error05, | ||
}, | ||
info: { | ||
100: variables.info100, | ||
75: variables.info75, | ||
50: variables.info50, | ||
25: variables.info25, | ||
10: variables.info10, | ||
5: variables.info05, | ||
}, | ||
} as const; | ||
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export default colors; |
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import { FC } from 'react'; | ||
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const DescriptionAC: FC = () => { | ||
return ( | ||
<> | ||
Simply put, algebraic constraint is a relation between two columns, such | ||
that some binary operation b = {'{ +, -, /, * }'} (applied to each row) | ||
has most of its results within several ranges. For example, an algebraic | ||
constraint for a table containing ShipDate and DeliveryDate columns with b | ||
= {'{ - }'} will result in three clusters defined by a shipping method. In | ||
this scenario outliers will be rows with rare events such as dockers | ||
strike, typo in address, etc. This task discovers all algebraic | ||
constraints for a specified operation and a provided table. Also, it | ||
detects and visualizes outlier rows. For more information check{' '} | ||
<a href="https://vldb.org/conf/2003/papers/S20P03.pdf"> | ||
“BHUNT: Automatic Discovery of Fuzzy Algebraic Constraints in Relational | ||
Data” | ||
</a>{' '} | ||
by P.G. Brown and P.J. Haas. | ||
</> | ||
); | ||
}; | ||
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export default DescriptionAC; |
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@@ -75,7 +75,6 @@ | |
color: $primary-0; | ||
text-decoration: underline; | ||
} | ||
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} | ||
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// Small devices | ||
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@import "variables.module"; | ||
@import "mixins"; | ||
@import "mixins"; |
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