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Pandas is built around data structures called Series and DataFrames. Data for these collections can be imported from various file formats such as comma-separated values, JSON, Parquet, SQL database tables or queries, and Microsoft Excel. [8] A Series is a 1-dimensional data structure built on top of NumPy's array.
Typical unstructured data sources include web pages, emails, documents, PDFs, social media, scanned text, mainframe reports, spool files, multimedia files, etc. Extracting data from these unstructured sources has grown into a considerable technical challenge, where as historically data extraction has had to deal with changes in physical hardware formats, the majority of current data extraction ...
Comma-separated values (CSV) is a text file format that uses commas to separate values, and newlines to separate records. A CSV file stores tabular data (numbers and text) in plain text, where each line of the file typically represents one data record.
Sorting or ordering the data based on a list of columns to improve search performance Joining data from multiple sources ( e.g. , lookup, merge) and deduplicating the data Aggregating (for example, rollup – summarizing multiple rows of data – total sales for each store, and for each region, etc.)
The new 12-team College Football Playoff is about to begin, and the journey to crown the national champion starts now.
Garbage plates, combining macaroni salad, meat sauce and other intriguing toppings, are a popular menu item in Rochester, New York. The owner of local restaurant Dogtown says they're in high demand.
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Column labels are used to apply a filter to one or more columns that have to be shown in the pivot table. For instance if the "Salesperson" field is dragged to this area, then the table constructed will have values from the column "Sales Person", i.e., one will have a number of columns equal to the number of "Salesperson". There will also be ...