You may have a large table, but only want to work with a subset it. For example, let's say you have a data set from the Canadian Census containing multiple rows of census data for all the major metropolitan areas of Canada. However, you'd like to work with only the top 5 areas.
Once the large data table is in Fusion Tables, you can create this subset in two ways: filtering or merging. When the list of items you'd like to extract is long, try merging.
Extract by filtering
In the New look, this is quite simple.
- Create a filter on the column containing the metropolitan area name. Sort by count and uncheck all other names.
- Choose File > Download.
- Select "Filtered rows" to obtain the filtered data.
- Select View > Filter
- Choose the column you'd like to filter on from the first drop-down menu. In this example, it's CMANAME.
- Choose In from the operator drop-down menu.
- Enter a list of the area names, separated by commas. If the name has more than one word, surround the name with quotes. In this example,
- Click Apply.
- Select File > Download.
Extract by merging
Use the merge tables feature in Fusion Tables to create a table with just the subset of data that matches your top 5 list.
- Create a Fusion Table that is a list of the data you want. Each value that matches rows you want in the final subset should be on a separate row. In our example, create a small .CSV file with a simple list of the cities you care about:
CMANAME Toronto Vancouver Edmonton Calgary Montreal
- Starting from this want-list table, merge it with the big table.
- Choose File > Download if needed.
The new table only contains rows from the larger data table that matched with your list.