CSV (or TSV) file is a simplest data source in SeekTable: it is enough to click on Upload Data, choose a local file, and wait until file is uploaded. That's all: now you can create summary report (pivot table, chart) or view/filter/sort CSV data rows with usual grid-view ('flat table').
All parameters are detemined automatically:
CSV file may be compressed with zip or gzip, and this is only option if you want to upload large CSV file that is greater than upload limit (50Mb). Uncompressed CSV size might be up to 500Mb; SeekTable works fine with files of this size and pivot table generation should not take more than 5-10 seconds.
It is possible to define special expressions for custom handling of CSV values (parse timespans, apply replace rules etc).
In some cases you might need to refresh saved pivot table reports by uploading newer version of the dataset. This is possible in one of the following ways:
https://www.seektable.com/cube/feb3828c57474791a5ee92b83d4195e0In this case cube ID is
feb3828c57474791a5ee92b83d4195e0
.
mydata.csv
→ feb3828c57474791a5ee92b83d4195e0.csv
mydata.zip
→ feb3828c57474791a5ee92b83d4195e0.zip
(if CSV file is zipped)
Note: data refresh is possible only if new CSV file has the same columns as in old version of CSV file (with the same names, new columns are OK).
It is possible to define expression-based (calculated) dimensions that are evaluated before aggregation step (on row-level). For example, if you have date column (say, "Some Date") it is possible to calculate quarter or day-of-week in the following way:
Field
Date.Quarter(Column["Some Date"])
(for quarter)Date.DayOfWeek(Column["Some Date"])
(for day-of-week)Date.Week(Column["Some Date"])
(for week number)Column
is a special variable that provides access to the context CSV row values; you can use column name directly
if it doesn't contain spaces or special symbols - for example, SomeDate
. More details about expression syntax you can found
here.
Count
: the number of aggregated rows.Sum
: the total sum of a numeric column.Average
: the average value of a numeric column.Min
: the minimal value of a column.Max
: the maximum value of a column.Count Unique
: the number of unique or distinct values of a column.Quantile/Median
: 2-quantile value (median) for the a numeric column.Mode
: the value that appears most often.Variance
: the variance Var(X) of a numeric column. It is possible to calculate sample variance / standard deviartion / sample standard deviation by specifying 2-nd parameter for this measure type.Expression
: measure defined as formula calculated by SeekTable.Count
: no parameters needed.Sum
/Average
/Min
/Max
/Count Unique
/Mode
: name of CSV column to aggregate.Quantile/Median
: first parameter is name of CSV column; second parameter is optional and represents percentile value (default value is 0.5 which gives median).Variance
: first parameter is name of CSV column; second parameter is optional and can be: Variance, SampleVariance, StandardDeviation, SampleStandardDeviation (if not specified "Variance" is assumed).Expression
: first parameter is an expression, and next parameters are names of measures used as arguments in the expression.
${0:0.##}
→ $10.25You can define report parameters to specify report-specific filtering condition by CSV column(s) in Filter Expression:
String
: text-based value.Int32
: 32-bit integer (max value is 2,147,483,647).Int64
: 64-bit integer (max value is 9,223,372,036,854,775,807).Decimal
: Fixed-point number with max 28 significant digits. Decimal point is '.' character.DateTime
: date or datetime value (in case of date this will be datetime value with 0:00:00 time). Date value should be specified as string in YYYY-MM-DD format.Boolean
: accepts only 'True' or 'False' value.Parameter["param_name"]
."%"+Parameter["param_name"]+"%"
(wrap with '%' for 'like' condition).When parameter is defined it can be used in Filter Expression as following:
"1"="1" @paramName[ and "csv_column_name":field="{0}":var ]
In this sample parameter name is paramName
and CSV column to filter is csv_column_name
.
Filtering expression syntax:
"csv_column_name":field <condition> "value"[:datatype]
<
, <=
, >
, >=
, =
, !=
, like
, in
.
'Like' works like in SQL: prepend/append '%' for 'contains' (you can add '%' automatically with parameter Expression)."param_name":var
string
, int32
, int64
, decimal
, double
, datetime
C1 and C2
, C1 or C2
, C1 or (C2 and C3)
Parameter placeholder syntax:
@
paramName
[ ]
"{0}":var
In case if you want to create a pivot table by CSV file that exceeds upload limit (even zipped) you still can do that in one of the following ways: