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Index is a table that helps in faster query results and quick data retrieval from the database. Index tables use indexing, a technique that uses data structures to optimize the searching time of a database query. Indexing makes better database performance. It also consumes lesser space in the main memory.

Indexing refers to compiling economic data into a single metric. It can also mean comparing data to such a metric in order to measure its change or performance.

Indexation is the mechanism of adjusting the values of various goods, services, assets, investments, and wages based on inflation. The indexation formula is as follows: Indexation = (Goods Value in the Given Year/Goods Value in the Base Year) × 100.

In a database, data is stored in rows which are organized into tables. Each row has a unique key which distinguishes it from all other rows and those keys are stored in an index for quick retrieval. Since keys are stored in indexes, each time a new row with a unique key is added, the index is automatically updated.

An index chart is an interactive line chart that shows percentage changes for a collection of time-series based on a selected index point. In this example, we see the percentage change of selected stock prices ing to the day of purchase.

The chart index number represents the position of the chart sheet on the workbook tab bar. Charts(1) is the first (leftmost) chart in the workbook; Charts(Charts. Count) is the last (rightmost).

Indexing in Python starts at 0, which means that the first element in a sequence has an index of 0, the second element has an index of 1, and so on. For example, if we have a string "Hello", we can access the first letter "H" using its index 0 by using the square bracket notation: string[0] .