if you want the singleFileData give me the email or any thing to send to you and please give me the correct answer

Total of 1200 cells were collected from 3 tissues. Expression of 10 genes in these 1200 cells were measured and listed in the TAB limited text file singleCellData.txt The researcher would like use two of these 10 genes as markers of tissues. CellNo Celli Cell2 Cell3 Cell4 Cells Cell6 call Gene1 3.83 4.45 4.51 3.21 2.19 6.00 156 Gene2 4.84 4.69 3.94 2.57 4.93 Gene3 4.00 3.19 1.74 2.82 1.98 Gene4 4.12 2.94 5.11 4.99 3.59 5.22 5.06 Gene5 3.44 1.76 4.31 3.57 3.17 3.58 122 Gene6 2.41 3.39 3.85 4.16 4.45 3.89 2.22 Gene7 3.50 2.94 1.91 2.74 1.67 3.56 2.70 Gene8 5.78 4.08 2.42 3.22 4.48 3.45 206 Gene9 5.87 5.33 5.21 4.45 4.77 4.31 181 Gene10 3.91 3.35 5.43 4.17 3.93 4.32 107 2.97 4.14 3.62 2. RR Write a Python script that does the following analyses and charts: 2. (15 points) Plot 10 histograms in the same window using subplots. Each subplot will be a histogram of the expression data of a gene. Save as.png or copy the chart into Word. 3. (10 points) Investigate the histograms to choose two genes which can be used as cell type markers. (Cell type marker: If a gene is expressed highly (or low) in Tissue1 cells, but low (or high) in other tissue cells, expression level of that gene can be used as 'marker of Tissuet'. Marker genes have multimodal distributions, so you need to find the multimodal genes in histograms. After you decide on the marker gene, chose the cells which express that gene at high (or low) levels and assign them as 'cell from Tissuet' as described in Part4 and 5)