TADA

The Non-Privacy Synthetic Data service uses machine learning and a Gaussian Copula algorithm to generate a synthetic dataset that captures the same basic structure and statistical distribution as the original dataset.

Input Data

Number Of Rows

0	1	2	3	4	5	6	7	8
surgery	age	hospital_number	temp	pulse	respiratory_rate	temp_of_extremities	peripheral_pulse	mucous_membrane
no	adult	530101	38.5	66	28	cool	reduced	none
yes	adult	534817	39.2	88	20	none	none	pale_cyanotic
no	adult	530334	38.3	40	24	normal	normal	pale_pink
yes	young	5290409	39.1	164	84	cold	normal	dark_cyanotic
no	adult	530255	37.3	104	35	none	none	dark_cyanotic
no	adult	528355	37	37	37	warm	normal	pale_pink
yes	adult	526802	37.9	48	16	normal	normal	normal_pink
yes	adult	529607	37	60	37	cool	none	none
no	adult	530051	37	80	36	cool	absent	pale_pink
no	young	5299629	38.3	90	37	normal	none	normal_pink
yes	adult	528548	38.1	66	12	cool	reduced	bright_red
no	adult	527927	39.1	72	52	warm	none	bright_pink
yes	adult	528031	37.2	42	12	warm	normal	normal_pink
no	young	5291329	38	92	28	normal	normal	bright_pink
yes	adult	534917	38.2	76	28	cool	normal	normal_pink
yes	adult	530233	37.6	96	48	cool	normal	pale_cyanotic
yes	young	5301219	37	128	36	cool	reduced	pale_cyanotic

Input Data

Number Of Rows

0	1	2	3	4	5	6
guest_email	has_rewards	room_type	amenities_fee	checkin_date	checkout_date	room_rate
xhamilton@leblanc-orr.com	False	DELUXE	16.09947353	5-Mar-20	4-Mar-20	199.709667
rmejia@buchanan-maynard.com	False	BASIC	9.2	28-Dec-20	12-Mar-20	144.8284206
angelawalker@bray.biz	False	BASIC	9.661930212	10-Nov-20	16-Jan-20	180.8582157
ngomez@berry.net	True	DELUXE	0	26-Nov-20	17-May-20	221.2980321
eporter@cruz.net	False	DELUXE	29.82889906	28-Jun-20	25-Nov-20	244.4085419
kevincardenas@moore-mendoza.org	False	BASIC	25.58676598	2-Jun-20	17-Dec-20	159.8302435
robert97@francis-monroe.com	False	BASIC	15.51163488	12-Dec-20	14-Jul-20	133.5948022
tarabooth@herman-russell.com	False	BASIC	18.13363983	8-Sep-20	25-Mar-20	125.1256662
zdecker@gomez.net	False	BASIC	17.66645844	2-Feb-20	30-Jan-20	96.93779619
rdougherty@white.com	False	BASIC	9.351978846	18-Oct-20	22-Jul-20	83.8
douglasayers@mcclain.net	False	DELUXE	19.67697393	6-Oct-20	13-Aug-20	279.4608024
charlesmendoza@montgomery.org	False	DELUXE	20.17930095	5-Apr-20	3-Nov-20	122.9739371
gordonandrew@davis.com	False	BASIC	8.151519546	15-Apr-20	25-Mar-20	137.7072268
kimberlycarrillo@taylor-johnston.com	False	BASIC	9.850258604	13-Oct-20	25-Nov-20	144.9288697
christineperry@carlson.com	False	BASIC	11.19811637	28-Dec-20	28-Dec-20	263.5604058
samanthacraig@stuart.com	True	BASIC	18.2	30-Nov-20	25-Mar-20	192.928392
michaelsanders@shaw.net	False	DELUXE	18.88657172	13-Oct-20	28-Sep-20	204.869102
sean52@walters-walton.com	False	BASIC	34	2-Jan-21	none	177.3192957
lcrane@montgomery.com	False	BASIC	34.92306565	1-Dec-20	7-May-20	240.7174584

Input Data

Number Of Rows

0	1	2	3	4
capillary_refill_time	abdominal_distention	exam	abdomen	packed_cell_volume
more_3_sec	severe	decreased	distend_large	45
less_3_sec	slight	absent	other	50
less_3_sec	none	normal	normal	33
more_3_sec	severe	decreased	none	48
more_3_sec	none	none	none	74
less_3_sec	slight	decreased	firm	37
less_3_sec	moderate	decreased	distend_large	37
less_3_sec	slight	decreased	distend_small	44
less_3_sec	severe	decreased	distend_large	38
less_3_sec	none	decreased	none	40
less_3_sec	none	increased	distend_large	44
less_3_sec	slight	absent	distend_small	50
less_3_sec	moderate	absent	distend_large	37
less_3_sec	slight	normal	normal	37
less_3_sec	none	absent	distend_small	46
less_3_sec	moderate	absent	none	45
more_3_sec	moderate	absent	distend_large	53

Input Data

Number Of Rows

0	1	2	3	4	5	6	7	8	9	10	11
company	department	employee_id	age	age_when_joined	years_in_the_company	salary	annual_bonus	prior_years_experience	full_time	part_time	contractor
Jenson and Co	Sales	1	34	32	2	153000	23500	2	1	0	0
Mira X	Design	5	32	28	4	72146.33	19590.71	2	0	0	1
Wibby AI	AI	1	38	30	8	116000	10500	4	1	0	0
Tenner	Search Engine	7	49	48	1	102536.92	24792.91	1	0	0	1
Cheerper	BigData	6	30	22	8	77000	19000	1	0	1	0
Monoday	Support	11	31	24	7	79500	24500	2	0	1	0
Pears Inc	Sales	28	32	23	9	94500	24500	1	1	0	0
Dollopy	Design	75	49	48	1	69288.37	18276.68	1	0	0	1
Gen X AI	AI	33	41	39	2	117500	9000	5	1	0	0
Glasser	Search Engine	56	30	27	3	44407.6	17858.11	4	0	0	1
Imaga	BigData	42	49	41	8	74500	17000	2	0	1	0
Nero and Ness	Support	80	40	38	2	40000	17000	4	0	1	0

Input Data

Number Of Rows

0	1	2	3	4
Work ID	Names	Addresses	Sales	Expertise
fe47	Brenda Walters	73816 Jenkins Camp Apt. 489 Lake Richard, VA 77701	124.32	Design
re30	Stuart Brown	688 Manuel Heights Suite 704 Kristopherbury, IA 20708	553.12	Biology
ds23	Karen Edwards	0057 Diamond Points Jacksonstad, AZ 29393	2378.54	Business
dt33	Jose Dodson	02266 Greg Cliffs Simpsonbury, GA 19637	532.44	Biology
nb44	Miguel Wells	USNV Robles FPO AE 47206	5333.23	Business
vb33	Damon Diaz	112 Hamilton Spurs Apt. 428 Andrewhaven, SC 81584	757.43	Biology
vg46	Tanner Brooks	68169 Laurie Turnpike Barajasstad, NE 19913	224.23	Biology
cg07	Amy Hamilton	USNV Stone FPO AE 95463	5324.23	Business
de58	Valerie Steele	418 Steven Lodge Tamarahaven, SD 35682	4213.23	Finance
gf89	Heather Powers	672 Nunez Mountains Apt. 753 Gordonport, SD 67282	123.21	Biology
sc10	Janice Marsh	1945 Brown Parkways Apt. 763 Cruzmouth, AZ 80247	243.23	Design
uf11	Tracy Baker	037 Douglas Freeway Hallfort, MS 78107	4532.12	Finance
wd82	David Frey	4436 Freeman Ferry Edwardfurt, CO 28189	1243.12	Computer Science
eg13	Anna Estes	PSC 9159, Box 0505 APO AP 75462	435.32	Biology
we14	Heather Carrillo	57321 Julie Keys Apt. 323 Shannonbury, VA 01652	1253.23	Computer Science

CHOOSE FILE

Input Data

Number Of Rows

Cols To Mas

Building Blocks

Example 1

Example 2 (with column masking)

Example 3

Example 4

Example 5 (with column masking)

Exemple 6 (custom file)