SAMPLE NAME pH EC DATE SAMPLED Effluent 1 7.1 80 27/02/2020 Effluent 2 5.1 410 27/02/2020 Effluent 3 5.0 1400 27/02/2020 Effluent 1 7.0 80 25/01/2020 Effluent 2 6.5 730 25/01/2020 Effluent 3 7.1 800 25/01/2020 Effluent 1 7.2 400 24/12/2019 Effluent 2 6.9 700 24/12/2019 Effluent 3 7.2 790 24/12/2019 Effluent 1 7.1 250 23/11/2019 Effluent 2 6.8 750 23/11/2019 Effluent 3 7.0 800 23/11/2019 Effluent 1 7.0 350 25/10/2019 Effluent 2 6.9 810 25/10/2019 Effluent 3 7.1 810 25/10/2019 Effluent 1 7.0 750 28/09/2019 Effluent 2 7.0 350 28/09/2019 Effluent 3 7.0 770 28/09/2019 Effluent 1 7.0 750 25/08/2019 Effluent 2 7.0 350 25/08/2019 Effluent 3 7.0 750 25/08/2019 Effluent 1 7.0 350 27/07/2019 Effluent 2 7.1 680 27/07/2019 Effluent 3 6.8 760 27/07/2019 Effluent 1 7.2 400 27/06/2019 Effluent 2 6.8 650 27/06/2019 Effluent 3 6.7 760 27/06/2019 Effluent 1 7.0 350 26/05/2019 Effluent 2 6.9 750 26/05/2019 Effluent 3 7.0 770 26/05/2019 Effluent 1 7.1 250 26/04/2019 Effluent 2 7.0 720 26/04/2019 Effluent 3 6.8 740 26/04/2019 Effluent 1 7.0 350 26/03/2019 Effluent 2 6.9 690 26/03/2019 Effluent 3 6.9 750 26/03/2019 Effluent 1 7.0 350 28/02/2019 Effluent 2 6.9 750 28/02/2019 Effluent 3 6.5 800 28/02/2019 Effluent 1 7.0 80 26/01/2019 Effluent 2 7.0 800 26/01/2019 Effluent 3 6.5 790 26/01/2019 Effluent 1 7.1 250 26/12/2018 Effluent 2 6.8 610 26/12/2018 Effluent 3 6.2 760 26/12/2018 Effluent 1 7.0 350 27/11/2018 Effluent 2 6.7 600 27/11/2018 Effluent 3 6.3 760 27/11/2018 Effluent 1 7.1 250 25/10/2018 Effluent 2 6.8 490 25/10/2018 Effluent 3 6.2 770 25/10/2018 Effluent 1 7.0 350 27/09/2018 Effluent 2 6.5 450 27/09/2018 Effluent 3 6.0 760 27/09/2018 Effluent 1 7.0 350 26/08/2018 Effluent 2 6.7 470 26/08/2018 Effluent 3 5.9 810 26/08/2018 Effluent 1 7.2 400 27/07/2018 Effluent 2 6.4 500 27/07/2018 Effluent 3 5.8 800 27/07/2018 Effluent 1 7.1 250 26/06/2018 Effluent 2 6.6 400 26/06/2018 Effluent 3 6.1 750 26/06/2018 Effluent 1 7.0 80 26/05/2018 Effluent 2 6.5 450 26/05/2018 Effluent 3 6.1 750 26/05/2018 Effluent 1 7.0 350 26/04/2018 Effluent 2 6.2 400 26/04/2018 Effluent 3 6.0 700 26/04/2018 Effluent 1 7.2 400 24/03/2018 Effluent 2 4.9 380 24/03/2018 Effluent 3 5.5 1380 24/03/2018 Effluent 1 7.0 80 24/02/2018 Effluent 2 5.0 450 24/02/2018 Effluent 3 5.1 1350 24/02/2018 create a XY-scatter chart by using line markers in excel and on the basis of chart determone if there are any trends or anomalies in the dataset. name axis tittle(including units if required)
SAMPLE NAME pH EC DATE SAMPLED Effluent 1 7.1 80 27/02/2020 Effluent 2 5.1 410 27/02/2020 Effluent 3 5.0 1400 27/02/2020 Effluent 1 7.0 80 25/01/2020 Effluent 2 6.5 730 25/01/2020 Effluent 3 7.1 800 25/01/2020 Effluent 1 7.2 400 24/12/2019 Effluent 2 6.9 700 24/12/2019 Effluent 3 7.2 790 24/12/2019 Effluent 1 7.1 250 23/11/2019 Effluent 2 6.8 750 23/11/2019 Effluent 3 7.0 800 23/11/2019 Effluent 1 7.0 350 25/10/2019 Effluent 2 6.9 810 25/10/2019 Effluent 3 7.1 810 25/10/2019 Effluent 1 7.0 750 28/09/2019 Effluent 2 7.0 350 28/09/2019 Effluent 3 7.0 770 28/09/2019 Effluent 1 7.0 750 25/08/2019 Effluent 2 7.0 350 25/08/2019 Effluent 3 7.0 750 25/08/2019 Effluent 1 7.0 350 27/07/2019 Effluent 2 7.1 680 27/07/2019 Effluent 3 6.8 760 27/07/2019 Effluent 1 7.2 400 27/06/2019 Effluent 2 6.8 650 27/06/2019 Effluent 3 6.7 760 27/06/2019 Effluent 1 7.0 350 26/05/2019 Effluent 2 6.9 750 26/05/2019 Effluent 3 7.0 770 26/05/2019 Effluent 1 7.1 250 26/04/2019 Effluent 2 7.0 720 26/04/2019 Effluent 3 6.8 740 26/04/2019 Effluent 1 7.0 350 26/03/2019 Effluent 2 6.9 690 26/03/2019 Effluent 3 6.9 750 26/03/2019 Effluent 1 7.0 350 28/02/2019 Effluent 2 6.9 750 28/02/2019 Effluent 3 6.5 800 28/02/2019 Effluent 1 7.0 80 26/01/2019 Effluent 2 7.0 800 26/01/2019 Effluent 3 6.5 790 26/01/2019 Effluent 1 7.1 250 26/12/2018 Effluent 2 6.8 610 26/12/2018 Effluent 3 6.2 760 26/12/2018 Effluent 1 7.0 350 27/11/2018 Effluent 2 6.7 600 27/11/2018 Effluent 3 6.3 760 27/11/2018 Effluent 1 7.1 250 25/10/2018 Effluent 2 6.8 490 25/10/2018 Effluent 3 6.2 770 25/10/2018 Effluent 1 7.0 350 27/09/2018 Effluent 2 6.5 450 27/09/2018 Effluent 3 6.0 760 27/09/2018 Effluent 1 7.0 350 26/08/2018 Effluent 2 6.7 470 26/08/2018 Effluent 3 5.9 810 26/08/2018 Effluent 1 7.2 400 27/07/2018 Effluent 2 6.4 500 27/07/2018 Effluent 3 5.8 800 27/07/2018 Effluent 1 7.1 250 26/06/2018 Effluent 2 6.6 400 26/06/2018 Effluent 3 6.1 750 26/06/2018 Effluent 1 7.0 80 26/05/2018 Effluent 2 6.5 450 26/05/2018 Effluent 3 6.1 750 26/05/2018 Effluent 1 7.0 350 26/04/2018 Effluent 2 6.2 400 26/04/2018 Effluent 3 6.0 700 26/04/2018 Effluent 1 7.2 400 24/03/2018 Effluent 2 4.9 380 24/03/2018 Effluent 3 5.5 1380 24/03/2018 Effluent 1 7.0 80 24/02/2018 Effluent 2 5.0 450 24/02/2018 Effluent 3 5.1 1350 24/02/2018 create a XY-scatter chart by using line markers in excel and on the basis of chart determone if there are any trends or anomalies in the dataset. name axis tittle(including units if required)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
| SAMPLE NAME | pH | EC | DATE SAMPLED |
| Effluent 1 | 7.1 | 80 | 27/02/2020 |
| Effluent 2 | 5.1 | 410 | 27/02/2020 |
| Effluent 3 | 5.0 | 1400 | 27/02/2020 |
| Effluent 1 | 7.0 | 80 | 25/01/2020 |
| Effluent 2 | 6.5 | 730 | 25/01/2020 |
| Effluent 3 | 7.1 | 800 | 25/01/2020 |
| Effluent 1 | 7.2 | 400 | 24/12/2019 |
| Effluent 2 | 6.9 | 700 | 24/12/2019 |
| Effluent 3 | 7.2 | 790 | 24/12/2019 |
| Effluent 1 | 7.1 | 250 | 23/11/2019 |
| Effluent 2 | 6.8 | 750 | 23/11/2019 |
| Effluent 3 | 7.0 | 800 | 23/11/2019 |
| Effluent 1 | 7.0 | 350 | 25/10/2019 |
| Effluent 2 | 6.9 | 810 | 25/10/2019 |
| Effluent 3 | 7.1 | 810 | 25/10/2019 |
| Effluent 1 | 7.0 | 750 | 28/09/2019 |
| Effluent 2 | 7.0 | 350 | 28/09/2019 |
| Effluent 3 | 7.0 | 770 | 28/09/2019 |
| Effluent 1 | 7.0 | 750 | 25/08/2019 |
| Effluent 2 | 7.0 | 350 | 25/08/2019 |
| Effluent 3 | 7.0 | 750 | 25/08/2019 |
| Effluent 1 | 7.0 | 350 | 27/07/2019 |
| Effluent 2 | 7.1 | 680 | 27/07/2019 |
| Effluent 3 | 6.8 | 760 | 27/07/2019 |
| Effluent 1 | 7.2 | 400 | 27/06/2019 |
| Effluent 2 | 6.8 | 650 | 27/06/2019 |
| Effluent 3 | 6.7 | 760 | 27/06/2019 |
| Effluent 1 | 7.0 | 350 | 26/05/2019 |
| Effluent 2 | 6.9 | 750 | 26/05/2019 |
| Effluent 3 | 7.0 | 770 | 26/05/2019 |
| Effluent 1 | 7.1 | 250 | 26/04/2019 |
| Effluent 2 | 7.0 | 720 | 26/04/2019 |
| Effluent 3 | 6.8 | 740 | 26/04/2019 |
| Effluent 1 | 7.0 | 350 | 26/03/2019 |
| Effluent 2 | 6.9 | 690 | 26/03/2019 |
| Effluent 3 | 6.9 | 750 | 26/03/2019 |
| Effluent 1 | 7.0 | 350 | 28/02/2019 |
| Effluent 2 | 6.9 | 750 | 28/02/2019 |
| Effluent 3 | 6.5 | 800 | 28/02/2019 |
| Effluent 1 | 7.0 | 80 | 26/01/2019 |
| Effluent 2 | 7.0 | 800 | 26/01/2019 |
| Effluent 3 | 6.5 | 790 | 26/01/2019 |
| Effluent 1 | 7.1 | 250 | 26/12/2018 |
| Effluent 2 | 6.8 | 610 | 26/12/2018 |
| Effluent 3 | 6.2 | 760 | 26/12/2018 |
| Effluent 1 | 7.0 | 350 | 27/11/2018 |
| Effluent 2 | 6.7 | 600 | 27/11/2018 |
| Effluent 3 | 6.3 | 760 | 27/11/2018 |
| Effluent 1 | 7.1 | 250 | 25/10/2018 |
| Effluent 2 | 6.8 | 490 | 25/10/2018 |
| Effluent 3 | 6.2 | 770 | 25/10/2018 |
| Effluent 1 | 7.0 | 350 | 27/09/2018 |
| Effluent 2 | 6.5 | 450 | 27/09/2018 |
| Effluent 3 | 6.0 | 760 | 27/09/2018 |
| Effluent 1 | 7.0 | 350 | 26/08/2018 |
| Effluent 2 | 6.7 | 470 | 26/08/2018 |
| Effluent 3 | 5.9 | 810 | 26/08/2018 |
| Effluent 1 | 7.2 | 400 | 27/07/2018 |
| Effluent 2 | 6.4 | 500 | 27/07/2018 |
| Effluent 3 | 5.8 | 800 | 27/07/2018 |
| Effluent 1 | 7.1 | 250 | 26/06/2018 |
| Effluent 2 | 6.6 | 400 | 26/06/2018 |
| Effluent 3 | 6.1 | 750 | 26/06/2018 |
| Effluent 1 | 7.0 | 80 | 26/05/2018 |
| Effluent 2 | 6.5 | 450 | 26/05/2018 |
| Effluent 3 | 6.1 | 750 | 26/05/2018 |
| Effluent 1 | 7.0 | 350 | 26/04/2018 |
| Effluent 2 | 6.2 | 400 | 26/04/2018 |
| Effluent 3 | 6.0 | 700 | 26/04/2018 |
| Effluent 1 | 7.2 | 400 | 24/03/2018 |
| Effluent 2 | 4.9 | 380 | 24/03/2018 |
| Effluent 3 | 5.5 | 1380 | 24/03/2018 |
| Effluent 1 | 7.0 | 80 | 24/02/2018 |
| Effluent 2 | 5.0 | 450 | 24/02/2018 |
| Effluent 3 | 5.1 | 1350 | 24/02/2018 |
create a XY-scatter chart by using line markers in excel and on the basis of chart determone if there are any trends or anomalies in the dataset.
name axis tittle(including units if required)
a tittle
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