Waiting

Waiting or The Waiting may refer to:

Occupation

Music

Albums

Songs

Waiting (Thursday album)

Waiting is the debut album by the emo quintet Thursday. The album was produced by Sal Villanueva and released on Eyeball Records in 1999. The photography throughout the album's artwork, with the exception of live shots, was done by Tom Keeley's uncle, Dennis Keeley.

Songs

The song "Porcelain" is a tribute and call to action regarding suicide. Kevin, best friend to Geoff Rickly, had committed suicide soon after moving to San Francisco while suffering from Schizophrenia. At the time of his suicide, there wasn't a toll-free suicide hotline available in San Francisco that Kevin was aware of and he was unable to seek counseling at the time of his death. The song "Ian Curtis" was named after late lead singer of the UK group Joy Division. Another victim of suicide, Curtis hanged himself in his Macclesfield home in 1980. The song contains many Joy Division song references, most notably "Love Will Tear Us Apart".

The song "Dying in New Brunswick" was written by Geoff Rickly about his girlfriend who moved to New Brunswick and was raped while she was there. The lyrics are about how he hated the city for what happened and how he felt like he was dying whenever he was there.

Waiting (Fun Boy Three album)

Waiting is the second and final studio album by the Fun Boy Three. It was released in 1983 and featured the hit single "Our Lips Are Sealed," co-written by Terry Hall and previously performed by The Go-Go's.

Writer Robert Palmer called it one of the "summer's worthier record releases...that shouldn't be overlooked":

According to music critic Robert Christgau, "David Byrne's production suits songwriting that has advanced beyond the undernourishment of their breakaway debut."

Track listing

All songs written by Fun Boy Three unless noted.

The version available from many download services, including iTunes, substitutes the 2:52 single mix of "Our Lips Are Sealed".

Dimension (data warehouse)

A dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. Commonly used dimensions are people, products, place and time.

In a data warehouse, dimensions provide structured labeling information to otherwise unordered numeric measures. The dimension is a data set composed of individual, non-overlapping data elements. The primary functions of dimensions are threefold: to provide filtering, grouping and labelling.

These functions are often described as "slice and dice". Slicing refers to filtering data. Dicing refers to grouping data. A common data warehouse example involves sales as the measure, with customer and product as dimensions. In each sale a customer buys a product. The data can be sliced by removing all customers except for a group under study, and then diced by grouping by product.

A dimensional data element is similar to a categorical variable in statistics.

Typically dimensions in a data warehouse are organized internally into one or more hierarchies. "Date" is a common dimension, with several possible hierarchies:

Dimension (vector space)

In mathematics, the dimension of a vector space V is the cardinality (i.e. the number of vectors) of a basis of V over its base field.

For every vector space there exists a basis, and all bases of a vector space have equal cardinality; as a result, the dimension of a vector space is uniquely defined. We say V is finite-dimensional if the dimension of V is finite, and infinite-dimensional if its dimension is infinite.

The dimension of the vector space V over the field F can be written as dim_F(V) or as [V : F], read "dimension of V over F". When F can be inferred from context, dim(V) is typically written.

Examples

The vector space R³ has

as a basis, and therefore we have dim_R(R³) = 3. More generally, dim_R(Rⁿ) = n, and even more generally, dim_F(Fⁿ) = n for any field F.

The complex numbers C are both a real and complex vector space; we have dim_R(C) = 2 and dim_C(C) = 1. So the dimension depends on the base field.

The only vector space with dimension 0 is {0}, the vector space consisting only of its zero element.

Dimension (shampoo)

Dimension Shampoo was a heavily perfumed shampoo product, which was produced in the early 1980s. This was by the personal products division of Lever Brothers, and marketed by Ogilvy. The shampoo came in a distinctive dark yellow bottle, and left a strong muskone and civetone aroma on the hair. There was also a companion conditioner marketed with this product. It has been stated by many previous users of dimension shampoo that it caused their hair to fall out, due to the extreme astringency of the product.

On April 18, 1985, Lever Brothers reorganized their marketing structure and moved their personal products division business to J. Walter Thompson.

At the time, Dimension was a highly popular brand. (Lever spent an estimated $12.5M in advertising the brand in 1984.) However, shortly after Lever's marketing reorganization, Dimension ran-out on store shelves, and never returned. Lever Brothers never made any public explanation for the disappearance of the product; although they referred to the marketing reorganization as a consolidation of the personal products brands, and stated that the decision in-part had to do with its plans for international marketing.