Midterm-3.docx - Midterm-3 WeiQi Huang 9/6/2020 #Create a...

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Midterm-3WeiQi Huang9/6/2020#Create a bar graph using the attached Iris dataset: iris_exams.csvPreview the document (click to download). Compare the Sepal Length of the flower Species. Include the following:#Main Title X and Y-Axis Labels Colors by Species Provide an interpretation in one paragraph (no more than 300 words) explaining the distribution of the data. Which Species Sepal.Length is greater? ##Species Verginica has the greatest length, based on the calculation of thier mean and max.data1 =read.csv("/Users/mo_more/Bennie/iris_exams.csv")data1## id Species Sepal.Length Sepal.Width Petal.Length Petal.Width## 1 S001 setosa 4.746510 3.301532 1.441511 0.23485068## 2 S002 setosa 5.072022 3.678133 1.208144 0.11142548## 3 S003 setosa 5.241044 3.442049 1.585426 0.40540260## 4 S004 setosa 5.475311 3.960215 1.533434 0.27242658## 5 S005 setosa 4.900481 2.806450 1.486378 0.34525776## 6 S006 setosa 5.580621 3.857734 1.875316 0.30609967## 7 S007 setosa 4.850986 3.172404 1.339713 0.10660276## 8 S008 setosa 5.660132 3.703858 1.494393 0.25458560## 9 S009 setosa 4.729580 3.057881 1.135306 0.01780691## 10 S010 setosa 5.219383 3.546590 1.482494 0.25609283## 11 S011 setosa 5.843581 4.810004 1.707506 0.23559591## 12 S012 setosa 5.176061 3.936742 1.482811 0.29514205## 13 S013 setosa 5.746284 3.950991 1.708016 0.31316994## 14 S014 setosa 5.035869 3.712073 1.549868 0.33467317## 15 S015 setosa 5.203412 3.705953 1.641574
0.26013310## 16 S016 setosa 5.057246 3.658478 1.449732 0.15897575## 17 S017 setosa 5.655743 4.489246 1.551453 0.31297976## 18 S018 setosa 4.744074 3.308112 1.430194 0.22708966## 19 S019 setosa 5.252426 4.064970 1.567033 0.17682117## 20 S020 setosa 4.876325 3.270243 1.452477 0.33604168## 21 S021 setosa 4.577677 2.767231 1.394993 0.16373165## 22 S022 setosa 5.091858 3.731368 1.451007 -0.03370764## 23 S023 setosa 4.502484 3.539601 1.524054 0.22030076## 24 S024 setosa 5.230962 3.459994 1.475177 0.16437779## 25 S025 setosa 5.443149 3.480459 1.544585 0.25781212## 26 S026 setosa 5.174438 3.341427 1.346401 0.18697546## 27 S027 setosa 5.571470 3.816630 1.635982 0.20843486## 28 S028 setosa 4.842999 3.342054 1.443339 0.19472674## 29 S029 setosa 5.153464 3.602262 1.530769 0.15863145## 30 S030 setosa 5.084069 3.535556 1.552879 0.32830531## 31 S031 setosa 4.804909 3.006827 1.614557 0.06896515## 32 S032 setosa 4.517353 3.183703 1.159255 0.23215456## 33 S033 setosa 5.158431 3.337079 1.395731 0.30633482## 34 S034 setosa 5.052358 3.817776 1.390738 0.42582406## 35 S035 setosa 4.946574 3.368935 1.345880 0.14160625## 36 S036 setosa 5.000805 3.839606 1.396330 0.21127232## 37 S037 setosa 5.009522 3.081367 1.407579 0.20838052## 38 S038 setosa 5.189187 3.417504 1.393419 0.25697882## 39 S039 setosa 5.240238 4.054923 1.550640 0.18168648## 40 S040 setosa 5.067371 3.233078 1.680698
0.20179720## 41 S041 setosa 5.099558 3.777879 1.310441 0.13315961## 42 S042 setosa 5.278409 3.793125 1.260152 0.26828549## 43 S043 setosa 5.180023 3.625798 1.476870 0.25356086## 44 S044 setosa 4.798385 3.646917 1.374330 0.10504128## 45 S045 setosa 4.684221 3.316177 1.588949 0.18802348## 46 S046 setosa 5.417782 3.586609 1.461117 0.21577169## 47 S047 setosa 5.562238 3.656187 1.278908 0.19721408## 48 S048 setosa 4.611923 2.964512 1.500576 0.36479502## 49 S049 setosa 4.710264 3.045508 1.574231 0.33330164## 50 S050 setosa 5.508498 3.829679 1.549469 0.48508392## 51 S051 setosa 5.588417 4.122178 1.628472 0.15180203## 52 S052 setosa 5.602330 3.684621 1.765467 0.42275318## 53 S053 setosa 5.167306 3.683230 1.816855 0.35244100## 54 S054 setosa 5.288969 3.642274 1.376453 0.39684107## 55 S055 setosa 4.906886 3.189813 1.496606 0.23959281## 56 S056 setosa 4.995801 3.600982 1.579870 0.34858594## 57 S057 setosa 5.069100 3.537088 1.230668 0.02182467## 58 S058 setosa 5.189576 3.677130 1.358826 0.16181675## 59 S059 setosa 4.482136 2.708932 1.298844 0.15951148## 60 S060 setosa 5.014806 3.385687 1.487761 0.22429193## 61 S061 setosa 4.802757 3.349004 1.455013 0.26681965## 62 S062 setosa 4.645234 3.334681 1.616775 0.11419468## 63 S063 setosa 4.604248 3.008894 1.493137 0.23268936## 64 S064 setosa 5.116808 3.594224 1.408537 0.28043605## 65 S065 setosa 4.807324 3.244693 1.418408
0.26042119## 66 S066 setosa 5.107944 3.397847 1.452720 0.36765748## 67 S067 setosa 4.710934 2.716148 1.326702 0.10826297## 68 S068 setosa 5.293750 3.806755 1.317957 0.27110026## 69 S069 setosa 4.773409 3.225985 1.525822 0.40669201## 70 S070 setosa 4.775172 3.456746 1.353207 0.13428710## 71 S071 setosa 5.104385 3.769799 1.325681 0.18603208## 72 S072 setosa 5.456157 3.673057 1.539847 0.18957762## 73 S073 setosa 5.486601 4.547194 1.458430 0.06669298## 74 S074 setosa 5.331864 4.284225 1.504492 0.34574131## 75 S075 setosa 5.210915 4.081529 1.311819 0.25996819## 76 S076 setosa 4.882822 3.775627 1.774840 0.28595519## 77 S077 setosa 5.305163 3.341740 1.511266 0.28139891## 78 S078 setosa 5.086260 3.729848 1.605608 0.25379793## 79 S079 setosa 4.998432 3.156384 1.604741 0.25393738## 80 S080 setosa 4.929496 3.353271 1.662900 0.30062920## 81 S081 setosa 5.052026 3.258510 1.513012 0.10166421## 82 S082

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Term
Spring
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xlab, Qu, distribution of the data, WeiQi Huang

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