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Data Wrangling

Single Line to Multiline

Description : xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx


Number of Parameters : 1

Parameter : Chopkey

Chopkey adds a new key on the fly with its value as a static value or dynamic value. This will add key and its value for each record


Delimiter to JSON

Description : xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx


Number of Parameters : 6

Parameter : Key_data

Key_data adds a new key-value to each record, the user can iterate through the records and add the new key-value to each one.

Parameter : Delimiter

Delimiter is used to separate values in a list, record, or file.

Parameter : Fields

Files is used in to specify headers name.

Parameter : Autodetect_column_names

Autodetect_column_names are for same header which is flat file "true" otherwise false

Parameter : Skip_header

Skip_header uses "false" if we want firstline of flatfile as headers

Parameter : Response_key

Response_key is the key in which the user's JSON data will be stored.


JSON to Delimiter

Description : xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx


Number of Parameters : 6

Parameter : Key_data

Key_data adds a new key-value to each record, the user can iterate through the records and add the new key-value to each one.

Parameter : Delimiter

Delimiter is used to separate values in a list, record, or file.

Parameter : Fields

Files is used in to specify headers name.

Parameter : Autodetect_column_names

Autodetect_column_names adds a new key on the fly with its value as a static value or dynamic value. This will add key and its value for each record. 

Parameter : Skip_header

Skip_header uses "false" if the user wants firstline of flatfile as headers

Parameter : Response_key

Response_key is the key in which our delimiter data will be stored



Data Aggregation

Description: 

Data aggregation operations are used in the processing of raw data. They also help in the grouping, summarizing, and processing of the data to make it easier to understand and analyze.


Number of Parameters : 3

Parameter : Agg_data_key

Agg_data_key is used to empty for multiline data and will have data key in case of singleline data

Parameter : Groupby_key

Groupby_key gives key name that the user wants to group by, basically this is a unique identifier in the dataset.

Parameter : Array_key

Array_key gives the key name where the user wants to hold the common keys, the user can provide any key name

Parameter : Array_key_nested_columns

Array_key_nested_columns gives the key name as comma separated keys that should be reflected in the level of groupby_key. This will be outside the array key.


Unpivot

Description:

Unpivot operations are used in the data transformation process.

Number of Parameters : 2

Parameter : Transpose_key_name

Transpose_key_name used in specify name of key which need to be transposed

Parameter : Transpose_value

Transpose_value used in specify the values which need to be transposed


Pivot

Description: 

Pivot operations are used in pivoting data, which involves converting long data to wide data. They are often used in data analysis to transform data into an easier format.


Number of Parameters : 3

Parameter : Get_key

Get key helps in converting multiline data in to single line data.

Parameter : Transpose_key_name

Transpose_key_name specifies name of the key which needs to be transposed.

Parameter : Transpose_value

Transpose_value specifies which values needs to be transposed.


Single Line to Tuple

Description: 

Single Line to Tuple operations is used to convert a single line of data to a tuple.


Number of Parameters : 3

Parameter : Singleline_key

Singleline_key helps in reading the dataset from a single line.

Parameter : Table_headers

Table_headers specifies the key name that is available inside the array.

Parameter : Tuple_key

Tuple_key is the key whichis used to save the tuple data


Tuple to Singleline

Description: 

Tuple to Singleline is used in converting a tuple to a single line, which involves taking a tuple object and converting it to a single string of values.

Number of Parameters : 3

Parameter : Tuple_key

Tuple_key helps in to reading the existing tuple data.

Parameter : Tuple_key

Headers specifies the key name of the new json

Parameter : Tuple_key

Singleline_key helps in to save new data