History of the number of airports visited by each human participant

Total airports visited by each participant over time
Date	Abi	Aleksandra	Andy	Angela	Becky	BJ	David	Denise	Fiona	Jess	Karen	Lai Shan	Louise	Malcolm	Mark F	Mark T	Matthew	Nick	Nicole	Robert	Shaun	Silas	Stacy	Thuy	Wendy
2013-12-04	5			7	10		6	19				18		11	7				15	25	2		41	16
2014-01-16	5			7	10		6	19		14		18		11	7				15	25	2		41	16
2014-10-25	5			8	10		6	19	1	14		18	1	11	7				15	25	2		41	16
2014-11-30	5			8	10		6	19	1	14		18	1	11	7	7			15	25	2		41	16
2014-12-21	5			8	10	8	6	19	1	14		18	1	11	7	7			15	25	2		41	16
2015-02-20	5			8	10	8	6	19	1	14		18	1	11	7	7			15	25	2		42	16
2015-08-19	5			8	10	8	6	19	1	14		18	1	11	7	7			15	25	2		43	16
2015-09-26	5			8	10	8	6	19	1	14	16	18	1	11	7	10			16	25	2		43	16
2015-10-14	5			8	10	8	6	19	1	14	16	18	1	11	7	10			16	25	2		45	16
2015-11-27	5			8	10	8	6	19	1	14	16	18	1	11	7	11			17	25	2		45	16
2016-05-19	5			8	11	8	6	19	1	14	16	18	1	12	7	49		3	17	25	2		45	16
2016-07-21	5			8	11	8	6	19	1	15	16	18	1	12	7	49		3	17	25	2		45	16
2016-08-23	5			9	11	8	6	19	1	15	16	18	1	12	7	49		3	17	25	4		45	16
2016-09-30	5			12	11	8	6	19	1	15	16	18	1	12	7	49	30	3	17	25	4		45	16
2017-03-30	5			12	11	8	6	19	1	15	16	18	1	12	7	66	30	3	19	25	4		45	16
2017-04-04	5			12	11	8	6	19	1	15	16	18	1	12	7	66	30	3	19	25	4		46	16
2017-05-30	5		12	12	11	10	6	20	1	15	16	18	1	12	7	66	30	3	19	28	4		47	16
2017-06-20	5		12	12	11	10	6	20	1	15	16	18	1	12	7	66	30	3	19	28	4		48	16
2017-07-09	5		12	13	11	10	6	20	1	15	16	18	1	12	7	66	30	3	19	28	4		49	16
2017-08-14	5		12	13	11	10	6	20	1	15	16	18	1	12	7	66	30	3	19	28	4		50	16
2017-10-27	5		12	13	11	10	6	20	1	15	16	18	1	12	7	66	30	3	19	28	4		54	16
2018-01-28	5		12	13	11	10	6	20	1	15	16	18	1	12	7	66	30	3	19	28	4		55	16
2018-06-02	5		12	13	11	10	6	20	1	15	16	18	3	12	7	66	30	3	19	28	4		56	16
2018-07-22	5		12	13	11	10	6	20	1	15	16	18	3	12	7	66	30	3	19	28	4	10	56	16
2018-10-10	5		12	13	11	10	6	20	1	15	16	18	3	12	7	66	30	3	19	28	4	11	56	16	2
2018-12-21	5	35	12	13	11	10	6	20	1	15	16	18	3	12	7	66	30	3	19	28	4	11	56	16	2
2019-01-20	5	35	12	13	11	10	6	20	1	15	16	18	4	12	7	66	30	3	19	28	4	11	56	16	2
2019-02-07	5	35	12	13	11	10	6	20	1	15	16	18	5	12	7	66	30	3	19	28	4	13	56	16	5
2019-06-22	5	35	12	13	11	10	6	20	1	15	16	18	5	12	7	66	30	3	21	28	4	13	56	16	5
2019-07-24	5	35	12	13	11	10	6	20	1	15	18	18	5	12	7	66	30	3	21	28	4	13	56	16	5
2019-08-31	6	35	12	13	11	10	6	20	1	15	18	18	5	12	7	66	30	3	21	28	4	13	56	16	5
2019-10-15	6	35	12	15	11	10	6	20	1	15	18	18	5	12	7	66	31	3	21	28	4	13	56	16	5
2020-01-02	6	35	12	16	11	10	6	20	1	15	18	18	5	12	7	66	32	3	21	28	4	13	56	16	5
2022-03-04	6	35	12	16	11	10	6	20	1	15	18	18	5	12	7	66	32	3	21	28	4	13	58	16	5
2022-10-08	6	35	12	16	11	10	6	20	1	15	18	18	5	12	7	66	32	3	21	28	4	13	59	16	5
2022-11-26	6	35	12	16	11	10	6	20	1	15	18	18	5	12	7	66	32	3	21	28	4	13	59	16	7
2023-01-31	7	35	12	16	11	10	6	20	1	15	18	18	5	12	7	66	32	3	22	28	4	13	59	16	7
2023-06-08	7	35	12	16	11	10	6	20	1	15	18	18	5	12	7	66	32	3	22	28	4	13	60	16	7
2023-09-29	7	35	12	16	11	10	6	20	1	15	18	18	5	12	7	66	32	7	22	28	4	13	61	16	7
2023-11-05	7	35	12	16	11	10	6	20	1	15	18	18	5	12	7	66	32	7	23	28	4	13	61	16	7
2024-01-23	7	35	12	16	11	10	6	20	1	15	18	18	5	12	7	66	32	7	23	28	4	13	68	16	7
2024-05-26	7	35	12	16	11	10	6	20	1	15	18	18	5	12	7	66	32	7	23	28	4	13	70	16	7
2024-08-06	7	35	12	16	11	10	6	20	1	15	18	18	5	12	7	66	32	7	23	28	4	13	72	16	8
2024-09-02	7	35	12	16	11	10	6	20	1	15	18	18	5	12	7	66	32	7	23	28	4	13	73	16	8
2024-11-17	7	35	12	16	11	10	6	20	1	15	18	18	5	12	7	66	32	7	23	28	4	14	73	16	9

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Data in a .csv file