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In analogy with relational databases, a column family is as a "table", each key-value pair being a "row". Each column is a tuple consisting of a column name, a value, and a timestamp. In a relational database table, this data would be grouped together within a table with other non-related data. Two types of column families exist:
A pivot table is a table of values which are aggregations of groups of individual values from a more extensive table (such as from a database, spreadsheet, or business intelligence program) within one or more discrete categories. The aggregations or summaries of the groups of the individual terms might include sums, averages, counts, or other ...
An array data structure can be mathematically modeled as an abstract data structure (an abstract array) with two operations get(A, I): the data stored in the element of the array A whose indices are the integer tuple I. set(A, I, V): the array that results by setting the value of that element to V. These operations are required to satisfy the ...
The same technique can be used to map two-letter country codes like "us" or "za" to country names (26 2 = 676 table entries), 5-digit ZIP codes like 13083 to city names (100 000 entries), etc. Invalid data values (such as the country code "xx" or the ZIP code 00000) may be left undefined in the table or mapped to some appropriate "null" value.
A marked increase of dacrocytes is known as dacrocytosis. These tear drop cells are found primarily in diseases with bone marrow fibrosis, such as: primary myelofibrosis, myelodysplastic syndromes during the late course of the disease, rare form of acute leukemias and myelophthisis caused by metastatic cancers.
The Drop opened in 809 theaters in North America and grossed $4,104,552, with an average of $5,074 per theater and ranking #6 at the box office. The film's widest release in the United States was 1,192 theaters and it ultimately earned $10,724,389 domestically and $7,933,992 internationally for a total of $18,899,662, above its budget of $12.6 ...
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words.
Another way to structure panel data would be the wide format where one row represents one observational unit for all points in time (for the example, the wide format would have only two (first example) or three (second example) rows of data with additional columns for each time-varying variable (income, age).