graph can reveal patterns or trend that words and date tables cannot -from derek
Visual tendancy of a set of data
Why are data tables useful to scientists? It is Important for scientist to use data because data is what they use to write their observation
one- input tables and three input tables
Data Tables are useful in science because data tables help you organize your observation and results. ME. Sophie. Got that right off of the book
graph can reveal patterns or trend that words and date tables cannot -from derek
Visual tendancy of a set of data
A table is a collection of data that is organized into rows and columns. An index is a data structure that improves the performance of data fetch operations on a table. A table can exist as a standalone component but an index cannot. Indexes are built on top of tables and cannot exist without tables.
Scientists use data tables to record data and information like a database in maths.
Graphs being pictorial representations enable us analyse the data more methodically and easily. It is a much more user friendly way of presenting and analyzing data. Data are just raw and unprocessed information. And when they are charted out and categorized their numerical representations often confuse us when presented in tables. Compared to such representation of data, grapghs and pie diagrams aid us more efficiently.
To decide on what tables to use for Data Normalization it will depend with the data that you have.
A database is a collection of tables of data.
Data tables are interpreted by carefully examining the information provided.
It stores data in tables. Tables have rows and column. These tables are created using SQL. And data from these tables are also retrieved using SQL
Graphs can reveal patterns, trends, and relationships in data that might not be evident from simply looking at the raw numbers. They can help to visualize data, identify outliers, and make comparisons between different data sets more easily. Additionally, graphs can provide insights into the distribution and shape of data, as well as aid in detecting any potential correlations or causal relationships.
tables
The process of working out what data should go into which tables and how the tables should be related to each other is known as Normalisation.