-
Notifications
You must be signed in to change notification settings - Fork 0
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Graded Assignment -3 (May Term 2024):- Effective Visualization of Data #30
Comments
Name - SURAJ ARS About my selection of Clustered Bar Chart: My chart is a clustered chart for every bacterium, showing the Minimum Inhibitory Concentration (MIC) for Penicillin, Streptomycin, and Neomycin. To recognize Gram-positive and Gram-negative microbes, Used various colors for the bars addressing each kind of microscopic organisms. |
Name: Neeraj Yadav Visualization Type and Encodings: Rationale for Design Decisions: Highlights and Downplayed Aspects: Downplayed Aspects: |
Name: Kaustav Goswami To visualize this data effectively, I have used a grouped bar chart, which allows for easy comparison of the MIC values across the three antibiotics for each bacterium. Additionally, I have used text color coding to differentiate between Gram-positive and Gram-negative bacteria. Aspects to Communicate:
Visual Encodings:
Chart Description:The chart effectively visualizes the Minimum Inhibitory Concentration (MIC) values for three antibiotics (Penicilin, Streptomycin, Neomycin) across 16 different bacteria. The x-axis lists the bacteria, while the y-axis represents the MIC values on a logarithmic scale, allowing for a clear comparison despite the wide range of values. Design Decisions and Rationale:
Facilitating Effective Communication:
Potential Downplays:
This visualization highlights the comparative effectiveness of different antibiotics while providing insights into the influence of bacterial type (Gram-positive vs. Gram-negative) on antibiotic efficacy. |
Name: PRASHANT SHARMA Visualization Type and Encodings: Observing data gives impression that effectiveness of the three antibiotics (Penicillin, Streptomycin, Neomycin) on various bacteria varies based on the 'Gram Straining'. Sorting: First data is sorted based on Gram Straining and then alphabatically on bacteria name. Rationale for Design Decisions: Highlighted Aspects: Downplayed Aspects: |
Name: Muskan Sindhu Objective and Visualization ChoiceThe chart visualizes the effectiveness of three antibiotics—Penicillin, Streptomycin, and Neomycin—across 16 types of bacteria, categorized by their Gram staining (positive or negative). A grouped bar chart with a logarithmic scale on the y-axis was chosen to facilitate easy comparison of Minimum Inhibitory Concentration (MIC) values, which represent the effectiveness of each antibiotic against bacterial growth. Visual Encodings and RationaleEach antibiotic is color-coded for clarity: sky blue for Penicillin, light green for Streptomycin, and light coral for Neomycin. To distinguish between Gram-positive and Gram-negative bacteria, markers ('o' for Gram-positive and 'x' for Gram-negative) are placed above each corresponding bar. This dual encoding of color and marker ensures that viewers can quickly identify both the antibiotic and the Gram classification of each bacterial type. Facilitating Effective CommunicationThe use of a logarithmic scale on the y-axis accommodates a wide range of MIC values, aiding in the clear visualization of antibiotic effectiveness across different bacteria. Sorting the bacteria first by Gram staining and then alphabetically enhances the readability, allowing viewers to discern any trends related to Gram classification. Legends positioned side by side in the upper right corner provide clear identification of both antibiotics and Gram staining, ensuring that the chart is informative yet accessible. Limitations and ConsiderationsWhile the chart effectively compares antibiotic effectiveness across bacterial types and Gram classifications, it may obscure finer details in MIC values for bacteria with similar effectiveness levels due to the scale. Additionally, this visualization focuses on relative comparisons rather than absolute effectiveness, which could be further enhanced with additional annotations or statistical indicators. Overall, this chart design aims to provide a comprehensive overview of antibiotic efficacy against different bacteria, emphasizing both visual clarity and interpretability. |
Ineffectiveness Of Different Vaccines Against Different BacteriaThis dashboard explains the ineffectiveness of different vaccines against different bacteria varying against the gram strain.
Software used: Tableau Desktop Pushpak Ruhil |
Name: Swetha Mary Thomas DescriptionI have created a grouped bar chart to visualize and compare the effectiveness of three different antibiotics: Penicillin, Streptomycin, and Neomycin, across 16 bacterial species. The x-axis lists the various bacteria species, with gram-positive bacteria on the left (highlighted with a green background) and gram-negative bacteria on the right (highlighted with a red background). The y-axis represents the Minimum Inhibitory Concentration (MIC) values on a logarithmic scale, illustrating the effectiveness range of the antibiotics. Three colors are used to distinguish the antibiotics: blue for Penicillin, orange for Streptomycin, and green for Neomycin. A legend in the top right corner provides a reference for the color coding. RationaleGrouped Bar Chart: Grouping the bars for each bacterium allows for direct comparison of MIC values for Penicillin, Streptomycin, and Neomycin side-by-side. This layout makes it easy to see which antibiotic is most effective against each type of bacteria. Logarithmic Scale: To handle the wide range of MIC values in a manageable and visually comprehensible way. It compresses the range of values so that smaller MIC values and larger MIC values can be displayed together without distortion. Color Coding: Using distinct colors for Penicillin (blue), Streptomycin (orange), and Neomycin (green) ensures that each antibiotic's effectiveness is easily distinguishable. This allows for quick interpretation of the data. Background Shading: To categorize and separate gram-positive and gram-negative bacteria visually. The green background for gram-positive bacteria and the red background for gram-negative bacteria help in quickly identifying the bacterial classification. Aspects of Data Effectively Communicated:Comparative Effectiveness of Antibiotics: The grouped bar chart effectively shows the relative effectiveness of Penicillin, Streptomycin, and Neomycin against each bacterial species. By placing the bars side-by-side for each bacterium, it is easy to see which antibiotic has the lowest MIC value and thus the highest effectiveness. Distinction Between Gram-positive and Gram-negative Bacteria: The background shading (green for gram-positive and red for gram-negative) clearly distinguishes between these two major groups of bacteria. This helps in understanding if there are any patterns in antibiotic effectiveness specific to either group. Logarithmic Scale for MIC Values: Using a logarithmic scale allows the visualization of a wide range of MIC values in a compact and readable format. It effectively highlights differences in antibiotic potency, even when these differences span several orders of magnitude. Aspects of Data That Might Be Obscured or Downplayed:Absolute Differences in MIC Values: While the logarithmic scale is effective for visualizing a wide range of values, it can obscure the absolute differences between MIC values. For example, a small visual difference on a logarithmic scale can represent a large numerical difference in MIC values. Outlier Influence: If there are extreme outliers in MIC values, their influence might be minimized on a logarithmic scale. This could obscure important insights about the potency of certain antibiotics against specific bacteria. Individual Bacterial Characteristics: The chart does not provide information on why certain antibiotics are more effective against specific bacteria. It only shows the end result (MIC values) without context regarding the mechanisms of resistance or susceptibility. |
Assignment-3Name: Shyam Sundhar Ganesh Grouped Bar ChartObjectiveThis chart depicts the minimum inhibitory concentration (MIC) of three antibiotics (Pencillin, Streptomycin, Neomycin) with 16 bacteria. The y-axis is scaled from 10^-3 to 10^3 to accept range of values in MIC. The x-axis contains the 16 bacteria, and they are grouped by the Gram Staining with positive values marked by green and negative values marked by red. Visual Encodings and Rationale
Effectively Communicated Aspects
|
Assignment 3: Effective Visualization of DataName: Abir Subroto Chakraborty
Design Rationale:
Effectiveness of the Visualization:
Areas for Improvement:
In conclusion, while the visualization is effective in presenting a comprehensive comparison of antibiotic effectiveness, enhancing color differentiation, addressing potential overlap in data points, refining the scale, and providing additional context can significantly improve clarity and accessibility. |
Assignment 3Name: Harshini Natraj Visualization TypeFor this visualization, I chose a grouped bar chart to represent the Minimum Inhibitory Concentration (MIC) of three antibiotics (Penicillin, Streptomycin, and Neomycin) across different bacteria. The choice of a grouped bar chart effectively facilitates the comparison of MIC values between the antibiotics for each bacterium. Each bacterium's MIC values for the three antibiotics are grouped together, allowing for direct visual comparison. Logarithmic ScaleMIC values span several orders of magnitude, from as low as 0.001 to as high as 870. To handle this wide range and to enhance interpretability, I used a logarithmic scale for the y-axis. This transformation compresses the range and makes it easier to discern differences in MIC values, especially for lower concentrations, which are critical for understanding antibiotic effectiveness. Color EncodingColor is used to differentiate between the three antibiotics:
This clear and consistent color scheme helps viewers quickly distinguish between the antibiotics across the chart. Additionally, the background color indicates the Gram-staining property of each bacterium:
This secondary use of color provides context about the bacterial characteristics without overcrowding the primary data representation. Limitations
One potential limitation of using a bar chart is the subconscious bias it may introduce. Longer bars can create an illusion that the corresponding bacteria are more significant or better in some way. In this context, longer bars represent higher MIC values, indicating lower antibiotic effectiveness. However, viewers might subconsciously associate longer bars with better outcomes, which is contrary to the intended message. To mitigate this, it is important to clearly label the y-axis and provide context in the chart title and legend, emphasizing that lower MIC values correspond to higher effectiveness.
Specific MIC values are not labeled on the bars, requiring viewers to estimate based on the y-axis. This can be a limitation for those needing precise values. |
Assignment-3Name: Raj Rohit Yadav Chart Design and Rationale The clustered column chart was chosen to effectively communicate the comparative effectiveness of the three antibiotics (Penicillin, Streptomycin, and Neomycin) across different bacteria. This visualization type allows for easy comparison of multiple categories (antibiotics) for each bacterial strain, facilitating a clear visual distinction of performance, less MIC value means more effectiveness. Visual Encodings and Design Decisions Visualization Type: A clustered column chart is appropriate because it allows for direct comparison of values across multiple categories (antibiotics) for each bacterial strain. This format is suitable for showcasing the relative effectiveness of each antibiotic. Color Encoding: The bacteria names on the x-axis are color-coded based on their Gram Staining results: red for Gram-positive and blue for Gram-negative. This color encoding provides an additional layer of information, making it easy to distinguish between Gram-positive and Gram-negative bacteria at a glance. Y-axis Scale: The y-axis uses a logarithmic scale to accommodate the wide range of Minimum Inhibitory Concentration (MIC) values. This scaling method ensures that smaller values are visible and comparable, which would not be possible with a linear scale due to the high variation in MIC values. Labels and Legends: Each bar is labeled with its corresponding MIC value, enhancing the interpretability of the chart. Additionally, legends are added for the antibiotics and Gram Staining categories to clearly explain the color coding and data representation. Sorting and Data Transformations: The bacteria are sorted alphabetically to maintain a consistent and intuitive order. No additional data transformations were applied, ensuring the raw MIC values are presented accurately. Effective Communication and Potential Limitations Effectively Communicated Aspects: The comparative effectiveness of the three antibiotics across different bacteria is clearly communicated. The logarithmic scale ensures that all MIC values are visible, preventing smaller values from being obscured. The color coding of bacteria names provides an immediate visual cue about Gram Staining results, which can be useful for microbiologists or healthcare professionals. Potential Limitations: The clustered column chart may downplay the exact numerical differences between MIC values due to the logarithmic scale. While this scale is necessary for visibility, it may make it harder to perceive small differences between values. Additionally, the color coding relies on viewers being able to distinguish red and blue, which may not be accessible to individuals with color vision deficiencies. Conclusion Overall, the clustered column chart with a logarithmic y-axis scale, color-coded x-axis labels, and labeled bars provides a clear and informative visualization of the antibiotic effectiveness data. The design choices facilitate effective communication of the key aspects of the dataset, while potential limitations are acknowledged and justified based on the need for a comprehensive and accessible representation. |
Name: Pranam Premanand Pagi Choice of Visualization Type:A grouped bar chart is selected because it facilitates a direct comparison of the MIC values for the three antibiotics across different bacteria. This format allows for a clear visual distinction between the effectiveness of each antibiotic on each bacterium. Logarithmic Scale:The y-axis is on a logarithmic scale due to the wide range of MIC values, spanning several orders of magnitude. This transformation helps in presenting all data points more compactly and comparably, avoiding the distortion that a linear scale would introduce. Background Color Coding:The background color of the bars is based on Gram staining (light blue for positive and light coral for negative), which makes the Gram characteristic distinction clearer. This visual differentiation helps to immediately identify clusters of bacteria based on Gram staining. Uniform Grid:A uniform grid with both major and minor ticks ensures that the grid forms squares, making it easier to compare values across different bars and helping with precise reading of the MIC values. Clarity and Readability:Axis labels, a title, and a legend are included to ensure that the chart is self-explanatory. The bacteria names are rotated for better readability given the space constraints on the x-axis. Aspects EmphasizedEffectiveness Comparison: The primary aspect emphasized by this visualization is the comparison of the effectiveness of the three antibiotics against each bacterium. The grouped bar format allows viewers to see which antibiotic has the lowest MIC (indicating the highest effectiveness) for each bacterium. Gram Staining Patterns: The color-coded backgrounds highlight potential patterns related to Gram staining, helping to visually cluster bacteria by their staining characteristics and revealing any trends in antibiotic effectiveness related to whether bacteria are Gram-positive or Gram-negative. Aspects Downplayed or ObscuredExact Numerical Values: While the chart effectively shows relative comparisons, the exact numerical values of MICs are not directly visible. Viewers can interpret the general effectiveness, but for precise values, they would need to refer to the data table. Individual Bacterial Characteristics: The focus on comparing antibiotics might obscure specific characteristics or behavior of individual bacteria. For instance, differences in MIC values within a single antibiotic for various bacteria are less emphasized compared to the overall comparison among antibiotics. Subtle Differences at Lower MICs: Despite the logarithmic scale improving visibility for lower MIC values, some subtle differences at the very low end might still be less pronounced compared to differences in higher MIC values. |
Name: Indumathi Kalla Rationale for Design Decisions Grouped Bar Chart: This type of chart is selected to facilitate comparison between the effectiveness of Neomycin, Penicillin, and Streptomycin across various bacterial strains. Grouped bars allow viewers to easily compare values side by side. Color: Different colors are used for each antibiotic (Neomycin, Penicillin, and Streptomycin). This visual encoding helps in distinguishing between the antibiotics and makes the comparison intuitive. Axes: The x-axis represents the bacterial strains, while the y-axes represent the effectiveness of the antibiotics. Each y-axis is scaled appropriately for the measurement units of the respective antibiotics, ensuring accurate representation of the data. Grouping by Gram Staining: Bacteria are grouped by Gram staining (Gram-negative and Gram-positive). This grouping is important as it highlights the differential effectiveness of antibiotics based on bacterial classification. Clear Comparisons: The grouped bar chart makes it straightforward to compare the effectiveness of different antibiotics on the same bacterial strain. Legend and Labels: Including a legend and clear axis labels ensures that the graph is self-explanatory. Viewers can easily understand what each bar and color represents. |
Name: SriNandhini T Introduction: Title and Labels: Color Coding and Legend: Data Grouping and Sorting: Effectiveness of the Design: Conclusion |
Name: Arshi Khan Chart Design and Rationale The chart designed is a horizontal bar chart titled "Comparison of Antibiotic Effectiveness (MIC) on Bacteria". This visualization effectively communicates the relative effectiveness of three antibiotics (Neomycin, Penicillin, and Streptomycin) across various bacterial strains. The primary goal is to compare the Minimum Inhibitory Concentration (MIC) values for each antibiotic, where lower MIC values indicate higher effectiveness. Visual Encodings and Design Decisions Visualization Type: A horizontal bar chart was chosen as it allows for easy comparison across multiple categories. Each bacterial strain is listed on the y-axis, while the MIC values are represented on the x-axis. This layout facilitates straightforward horizontal comparison of MIC values for each antibiotic. Color Encoding: Different colors are assigned to each antibiotic: blue for Neomycin, orange for Penicillin, and red for Streptomycin. This color differentiation helps in quickly identifying and comparing the effectiveness of each antibiotic across bacterial strains. Scale and Axes: The x-axis uses a logarithmic scale to accommodate the wide range of MIC values, from very small to very large. This scaling method ensures that smaller values are visible and comparable, which would be difficult with a linear scale. The y-axis lists the bacteria alphabetically for consistent and intuitive order. Labels and Legends: The chart includes legends for antibiotics and Gram Staining (positive and negative), and the x-axis is labeled "Value" to indicate MIC values. Legends and color-coded bars enhance the interpretability of the chart, making it self-explanatory without additional text. Effective Communication and Potential Limitations The horizontal bar chart with a logarithmic x-axis scale, color-coded bars, and labeled axes provides a clear and informative visualization of antibiotic effectiveness. The design choices facilitate effective communication by making comparisons straightforward and ensuring all MIC values are visible. However, the logarithmic scale may obscure small numerical differences between MIC values, and viewers with color vision deficiencies may have difficulty distinguishing between the colors used for antibiotics. Despite these limitations, the chart successfully highlights the key aspects of the dataset. |
Name: Syed Afrin Gowhar
Logarithmic Scale on Y-Axis:
Color Coding and Symbols:
Labels and Legends:
Analysis:
|
Name: Natasha Mittal Visual Encodings: Rationale for Design Decisions: Potential Limitations: |
Name: Kirupa Krishan G Enhanced Chart Design and RationaleChart DescriptionThe heatmap titled "Minimum Inhibitory Concentration (MIC) of Antibiotics on Bacteria" uses the original MIC values and incorporates Gram staining information. Each cell represents the MIC value for a specific antibiotic-bacteria pair, with color intensity indicating the level of effectiveness. Bacteria names are color-coded based on their Gram staining result: blue for Gram-positive and red for Gram-negative. Design Decisions
Let's display the basic statistics and analysis directly here: Basic Statistics for Each Antibiotic
Average MIC Values by Gram Staining
Analysis
This analysis provides insights into the relative effectiveness of different antibiotics against various bacterial strains and underscores the importance of considering Gram-staining results when selecting appropriate treatments. Strengths and LimitationsStrengths:
Limitations:
|
Name: Harsehraab Singh Sarao Description and Rationale:The above shown visualization compares the effectiveness of various antibiotic drugs as tested against 16 different bacteria. The visualization uses Minimum Inhibitory Concentration values that are measured using a logarithmic scale. Smaller the value of MIC the more effective the drug seems to be. Design Decisions:
Effective Communication:
Limitations:The visualization supresses the actual difference between MIC values as it is uses the logarithmic scale. |
Satya Ranjan Sahu Objective: The bar graphs show the effectiveness of different antibiotics on gram +ve bacteria and gram -ve bacteria individually. It also shows on which bacteria the overall effectiveness of the Antibiotics are more. The informations used in the visual representation of data targets the general audience which include newspaper readers, Television audiences etc. Rationale: As the visual representation of data targets the general audience and the length of the bars will be inversely proportional to the effectiveness of the antibiotics if presented as per the given data, this might be counter intuitive for the readers. That’s why to make it easy the values of MIC has been inversed in the graph. After inversing the values, the standard deviations were quite high. The spread of values which are greater than the third quartile are more as compared to other values. So I have squeezed the values between third quartile and maximum value where the values range between third quartile and third quartile + 1.5*IQR. This transformation that has been done will not alter the message that is meant to be conveyed through this visualisation. The transformations that were carried out were done separately for Gram +ve bacterias and Gram -ve bacterias because of the significant difference in the effectiveness of the antibiotics on the given types of bacterias. Downplay: If the difference in the effectiveness of the individual antibiotics on different bacterias will be shown on the same graph, the difference in the height of the columns won’t be properly visible as it is quite vast. So 2 different graphs with different scales has been used for Gram +ve and Gram -ve bacterias. |
Assignment-3Name: Arshpreet Kaur GraphDescriptionFor this assignment, I created a grouped bar chart to effectively present the Minimum Inhibitory Concentration (MIC) of three antibiotics (Penicillin, Streptomycin, and Neomycin) against 16 different bacteria. The chart is divided into Gram-negative and Gram-positive bacteria to clearly show the differences in antibiotic effectiveness between these two groups. Design Decisions:
Effective Communication: This design highlights several key aspects of the data:
Potential Limitations: While the chart is effective in many ways, there are some aspects that might be downplayed:
Overall, the design choices were made to facilitate a clear and comparative view of the effectiveness of three antibiotics against a range of bacteria, while also highlighting the impact of Gram staining on antibiotic resistance. Tools used:Python (Seaborn) and Excalidraw |
Name - Iqbal Hossain Chart Type: Logarithmic Scale on Y-Axis: Color Coding and Symbols: Labels and Legends: Effectiveness of Antibiotics: Penicillin: Generally more effective against Gram-positive bacteria. It has low MIC values for bacteria like Staphylococcus albus and Streptococcus fecalis, indicating high effectiveness. Conversely, it is less effective against Gram-negative bacteria such as Escherichia coli and Pseudomonas aeruginosa, which have higher MIC values. Influence of Gram Staining: Notable Observations: Conclusion: |
Comparative Effectiveness of Antibiotics on BacteriaName: Kruttika Milind Soni This visualisation aims to showcase the effectiveness of 3 popular antibiotics ; Penicillin, Neomycin and Streptomycin in treating 16 bacteria. It also shows the results of the Gram staining technique, classifying the bacteria as either Gram positive or Gram negative. The main objective is to show the overall difference in effectiveness of antibiotics on Gram positive and negative bacteria. The graph shows a trend that antibiotics perform better against Gram negative bacteria as compared to Gram positive bacteria. This is especially the case for Penicillin. My rationale for various design decisions is as follows:
This visualisation downplays some aspects of the data to achieve its objective:
Overall, this visualisation can be used to show a trend for antibiotics and be a case for use of certain antibiotics for Gram negative/positive bacteria. It is meant to be used by medical professionals or researchers who already have expertise in this topic as a general visualisation of the data. Made on Power BI |
Name: Saranya Nayak Aspects to Communicate:
Design Decisions and RationaleVisualization Type and Layout: Color Encoding: Scale and Axis: Data Organization: Potential DownplaysSpecific Numerical Values: Issue: The use of a logarithmic scale, while necessary for visualization, may obscure precise MIC values for some viewers. Issue: Trends or patterns within a single antibiotic’s effectiveness across all bacteria might not be as immediately apparent compared to focusing on the grouped comparison. |
Name - Jigyasa Design Rationale : Visualization Type and Scale Colors and Labels Text Annotations Data Sorting and Emphasis Limitatios Conclusion |
Wonder drugs of World War II - A VisualisationExplanation of Chart DesignTitle and Axis LabelsThe chart is titled "Antibiotic Effectiveness Against Bacteria" to clearly indicate the purpose of the visualization. The x-axis is labeled "Bacteria," listing the names of the 16 bacteria tested, while the y-axis is labeled "MIC (µg/mL)" to represent the Minimum Inhibitory Concentration, using a logarithmic scale to accommodate the wide range of MIC values. Chart Type and Visual EncodingsThe chart uses a grouped bar chart to display the MIC values for three antibiotics: Penicillin, Streptomycin, and Neomycin, across different bacteria. Each group of bars represents one bacterium, with distinct colors for each antibiotic (purple for Penicillin, red for Streptomycin, and blue for Neomycin). The color gradient in the bars represents the effectiveness of each antibiotic by representing the negative logarithmic value of the MIC Logarithmic ScaleA logarithmic scale is used for the y-axis to manage the large variability in MIC values and to make it easier to compare the effectiveness of antibiotics across different bacteria. This scale helps to prevent smaller MIC values from being visually overshadowed by larger ones and provides a clearer comparison. For a similar reason values used for the gradient calculation (1/MIC values) are also converted to logarithmic scale for robust visualization. Gram Staining ClassificationThe chart presents all gram negative bacteria followed by the gram positive bacteria. In addition, the chart includes the Gram staining classification of each bacterium above the bars (gram-positive in green and gram-negative in orange). This additional layer of information helps to analyze if there is a pattern in antibiotic effectiveness based on the Gram staining properties of the bacteria. Legends and Gradient HeatmapsA legend is included to identify the colors representing each antibiotic. Additionally, heatmaps at the bottom right corner provide a visual representation of the logarithmic 1/MIC values for each antibiotic, reinforcing the information conveyed by the gradients used in the bars. Aspects EmphasizedTwo primary aspects are emphasized by this visualization:
Aspects DownplayedWhile the chart effectively communicates the comparative effectiveness of the antibiotics, it might downplay the absolute differences in MIC values due to the logarithmic scale. Some fine details of the MIC values might be less discernible. Additionally, the chart focuses on the MIC values without delving into potential clinical implications or specific resistance mechanisms of the bacteria. Rationale for Design Decisions
This visualization effectively communicates the comparative effectiveness of the antibiotics while also providing contextual information about the bacteria tested, facilitating a comprehensive analysis of the data. |
Name : Nivedita Jayaswal The chart I have designed is titled "Effectiveness of antibiotics on different bacteria" and it visually represents the effectiveness of three antibiotics—Penicillin, Streptomycin, and Neomycin—on 16 different bacteria. The effectiveness is measured by the minimum inhibitory concentration (MIC), where lower MIC values indicate higher effectiveness. Each antibiotic is represented by a different color: purple for Penicillin, red for Streptomycin, and yellow for Neomycin. The bacteria are listed on the y-axis, while the x-axis represents the effectiveness of the antibiotics in percentage. Design Rationale Bar Chart Selection: Sorting: Axes and Labels: |
Name: Ashrey Antibiotic SensitivityEffective Communication Aspects:
Limitations and Potential Improvements:
Rationale for Design Decisions:
|
Name: John Joshi Alapatt Chart Analysis and Design RationaleTitle and Axis Labels: The chart is titled "Effectiveness of Antibiotics on Different Bacteria", providing a clear and concise description of the data presented. The x-axis is labeled "Bacteria", with each bacterium listed along this axis, and the y-axis is labeled "MIC (Minimum Inhibitory Concentration)", with a logarithmic scale to accommodate the wide range of MIC values. Legend: Penicillin: Green bars Logarithmic Scale: The y-axis uses a logarithmic scale, which is appropriate given the wide range of MIC values (from 0.001 to 870). This scaling allows for better visualization and comparison of smaller MIC values, preventing them from being overshadowed by much larger values. Bar Clustering: The bars are clustered by bacteria, with each cluster containing three bars representing the effectiveness of Penicillin, Streptomycin, and Neomycin. This clustering facilitates direct comparison of antibiotic effectiveness for each bacterium. Color Encoding: Color is used effectively to differentiate between antibiotics. The distinct colors (green, yellow, orange) for Penicillin, Streptomycin, and Neomycin, respectively, help in quickly identifying and comparing the effectiveness of each antibiotic. The use of blue and red borders for Gram-positive and Gram-negative bacteria, respectively, adds another layer of information, making it easy to identify any patterns related to Gram staining. Design StrengthsClarity and Comparability: The clustered bar chart allows for straightforward comparison of antibiotic effectiveness for each bacterium. Viewers can easily see which antibiotic is most effective. Obscured Absolute Differences: While the logarithmic scale aids in comparison, it might obscure the perception of absolute differences in MIC values, especially for values that are close to each other. This visualization is designed to effectively communicate the relative effectiveness of three antibiotics against various bacteria, with additional insights provided by Gram staining classification. The choice of a clustered bar chart with a logarithmic scale, combined with clear color and border encoding, ensures that viewers can easily interpret the data and identify key patterns. |
Name: Ashutosh Kumar Barnwal Design of the Chart: To communicate the effectiveness of three antibiotics on 16 bacteria, a horizontal bar chart was chosen. Each bar represents MIC values for Neomycin, Penicillin, and Streptomycin for each bacterium, with a title, axis labels, and a legend for clarity. Visual Encodings: Bar Chart Type: Facilitates comparison of MIC values across different bacteria, showing which antibiotic is more effective (lower MIC). Horizontal Bar Chart: Effective for long category names and comparison across multiple categories. Emphasized Aspects: Comparison of Antibiotic Effectiveness: Shows relative MIC values, highlighting the most effective antibiotic for each bacterium. Obscured Aspects: Detailed MIC Values: Exact values might be harder to read directly off the chart. |
Name : Dheeraj S
Rationale: Highlighted Aspects: Downplayed Aspects: |
Comparative Effectiveness of Antibiotics on BacteriaName: S R SrinivasanRoll no: 21f1002966Email: 21f1002966@ds.study.iitm.ac.inObjective:The objective of the visualization is to compare the effectiveness of three antibiotics (Penicillin, Streptomycin, and Neomycin) across 16 different bacteria strains. The implementation was designed to highlight the most effective antibiotics for each strain, Design DecisionsGraph Type:A radar chart is chosen to represent the MIC values of the three antibiotics for each bacteria strain. While unusual to represent data with vary different scales, this chart type is useful to guide the selection of the most appropriate antibiotic. Data Transformation:The choice of the chart type required no major transformation of the data. For the minor objective of indicating the gram staining, the different strains were grouped into two - gram positive and gram negative; within the group, the ordering is alphabetical. Color Scheme:Each antibiotic is encoded with a unique color to facilitate clear visualization and easy identification. The detailed name of each antibiotic is provided in the legend along with its corresponding color. Scale:The data is represented in log scale. This effectively addresses the variations in the data. Further, the data is presented in reverse order; this places the most effective antibiotic at the outer point of the radar arm. Other ConsiderationsAs the gram staining nature was a minor factor, a simple line is used to separate the two groups. The chart is useful even without this visual cue. Clear labeling and a detailed legend are provided to aid interpretation and understanding of the visualization. Limitations
Tool used: MS Excel |
Name - Harsh Y Mehta Keywords:
Design Decision:
Charts:
Process:
Usefulness of Chart:
Downplayed: |
About MeName: Bhumika Taneja VisualizationThe bar chart created effectively communicates the effectiveness of three antibiotics—Penicillin, Streptomycin, and Neomycin—on 16 different bacteria. The Minimum Inhibitory Concentration (MIC) values, plotted on a logarithmic scale, measure the concentration required to inhibit bacterial growth, with lower values indicating higher effectiveness. Design Elements and Rationale1. Chart TypeA bar chart was chosen because it allows for easy comparison of MIC values across multiple bacteria for each antibiotic. Bar charts are intuitive for comparing categorical data, and using different colors for each antibiotic facilitates a clear visual distinction between them. 2. Logarithmic ScaleThe y-axis uses a logarithmic scale for the MIC values. Given the wide range of MIC values (spanning several orders of magnitude), a logarithmic scale is essential for accurately representing the data. It ensures that smaller values are not visually compressed, allowing for meaningful comparisons across all bacteria. 3. Color CodingEach antibiotic is represented by a distinct color: Penicillin in blue 4. Gram Staining ClassificationThe background color of the chart is shaded to indicate Gram-positive (light pink) and Gram-negative (light green) bacteria. This addition provides context for interpreting the effectiveness of antibiotics concerning the Gram staining characteristic, a crucial factor in antibiotic selection. 5. Axis Labels and TitleThe chart includes clear axis labels and a title: The x-axis is labeled "Bacteria," listing the names of the bacteria tested. 6. LegendA legend is included to explain the color coding of the antibiotics and the background shading for Gram staining. This ensures the chart is self-explanatory and can be interpreted without additional descriptions. Aspects Emphasized and DownplayedEmphasizedComparison of Antibiotics: The chart effectively highlights which antibiotic is more effective against each bacterium by comparing the heights of the bars within each bacterial category. Range of Effectiveness: The use of a logarithmic scale emphasizes the significant differences in antibiotic effectiveness, even when values span several orders of magnitude. Gram Staining: The background shading provides immediate visual context about whether the bacteria are Gram-positive or Gram-negative, aiding in understanding the antibiotics' varying effectiveness. DownplayedIndividual Data Points: The chart does not emphasize individual data points or variability within each bacterial category. It focuses on overall trends and comparisons. Exact MIC Values: While the logarithmic scale accurately represents the range, exact MIC values are not the focus, as the goal is to compare effectiveness visually. Rationale for Visual Encodings1. Bar Chart: Suitable for categorical comparison, easy to interpret, and facilitates direct comparison between antibiotics. 2. Logarithmic Scale: Essential for representing data spanning multiple orders of magnitude, ensuring small and large values are both visible. 3. Color Coding: Differentiates antibiotics and Gram staining, making the chart visually accessible and informative. 4. Background Shading: Adds an additional layer of information (Gram staining) without cluttering the chart, aiding in comprehensive understanding. |
Name: Mohd Ariz Siddiqui Design DecisionsI decided to choose a simple bar chart to display the data in common understandable format. Bar charts are one of the most common form of visualizations, thus most people know how to interpret such charts. Also, since the range of values between the bacteria was very large, I decided to normalize the MIC readings with log10. This makes the bars in the chart more prominent, while also providing context to efficacy in comparison to a baseline value(10). Thus it makes it easier to glean important intuitions just by looking at the graphical features of the chart rather than having to deal with actual numerical values. The bacteria are also grouped by their staining patterns to further inform of the user of potential patterns among these groups of bacteria with their response to the given antibiotics. The colors chosen also have enough contrast to make sure no two information points visually merge with each other, leading to accidentally misinformation for the user. LimitationsWhile the aim of the chart is to make the MIC data easily accessible, it is limited in its ability to provide accurate numerical information due to the normalization of the MIC data. It could also provide wrong information to people who do not know what data points to look for and their relationships with each other. Also, the positive and negative scales of the chart may confuse people. Tool Used: MS Excel and Canva |
Name: Fashmina Mohamed Aboobucker To showcase the data, I have created 2 grouped bar charts to visualise the effectiveness of three antibiotics (Penicillin, Streptomycin, and Neomycin) on bacteria with Gram staining positive and Gram staining negative reactions. Chart Design: Aspects Highlighted: Aspects Downplayed: Conclusion: |
Name: Abel George Visualization TypeFor this visualization, I selected a grouped bar chart to display the Minimum Inhibitory Concentration (MIC) of three antibiotics (Penicillin, Streptomycin, and Neomycin) for different bacteria. The grouped bar chart is an effective choice because it enables a straightforward comparison of MIC values between the antibiotics for each bacterium. Grouping the MIC values together for each bacterium allows for a direct visual comparison. Logarithmic ScaleGiven that MIC values can range significantly, from as low as 0.001 to as high as 870, a logarithmic scale was employed for the y-axis. This approach compresses the wide range of values, making it easier to observe differences in MIC values, particularly at lower concentrations which are crucial for evaluating antibiotic efficacy. Distinct colors are used to differentiate between the three antibiotics:
This consistent color scheme helps viewers easily distinguish between the antibiotics. Additionally, the background color indicates the Gram-staining characteristic of each bacterium:
This use of background color adds another layer of context regarding bacterial properties without cluttering the main data visualization. The overall background of the chart is set to light grey to improve aesthetics and readability. A custom legend is included to clearly denote the color representations for both antibiotics and Gram-staining properties. This aids in ensuring that the chart is self-explanatory. LimitationsPerceptual BiasOne potential issue with using a bar chart is the perceptual bias it may introduce. Longer bars might be misconstrued as indicating better or more significant results. In this case, longer bars represent higher MIC values, which actually indicate lower antibiotic effectiveness. To address this, it is crucial to clearly label the y-axis and use the chart title and legend to emphasize that lower MIC values denote higher effectiveness. Lack of Precise LabelsThe chart does not include specific MIC values on the bars, requiring viewers to estimate based on the y-axis. This could be a drawback for those who need exact values. The focus of the chart is on illustrating overall trends rather than specific data points, a compromise made to maintain clarity and avoid overcrowding the visualization. |
Name : Shelley R Visualization TypeFor this visualization I have used 2D line graph to show the MIC values in log scale for each bacteria for all three antibiotics. This chart also include the data sheet attached to look into the specific values for each antibiotics related MIC at particular level for each bacteria. General Interpretation:Based on the given dataset, The following interpretation are obtained, SummaryGram-negative Bacteria: Gram-positive Bacteria: Chart Design
|
Name: Nikita Sharma VisualizationPrimary FocusIn this visualization, the main goal is to compare how effective three antibiotics—Penicillin, Streptomycin, and Neomycin—are against 16 different bacteria, using their minimum inhibitory concentration (MIC) values. I chose a grouped bar chart because it allows for easy, side-by-side comparisons of the MIC values for each antibiotic across all the bacteria. Visualization DesignTo make the chart clearer, I used distinct colors for each antibiotic: blue for Penicillin, green for Streptomycin, and red for Neomycin. This color coding really helps viewers quickly recognize which antibiotic is which. Plus, the background color is designed to relate to Gram staining, with a violet bluish color for Gram-positive bacteria and a pink reddish color for Gram-negative bacteria. This choice makes it easier for anyone looking at the chart to connect the information to what they might see in a lab setting. I also organized the bacteria alphabetically, which makes it simpler to find specific ones without having to hunt around. The y-axis is on a logarithmic scale to handle the wide range of MIC values. This helps highlight differences in antibiotic effectiveness, and when you hover over the bars, you can see the exact MIC values, which is great for detailed understanding. Potentially Obscured Aspect:However, one thing to note is that while this format emphasizes the comparison of effectiveness, it might downplay some specific MIC values between different antibiotics for individual bacteria. Subtle differences could be missed unless you engage with the hover feature. Overall, the choices I made—using distinct colors, relatable background colors, alphabetical ordering, and a logarithmic scale—come together to create a clear and informative visualization that helps viewers understand antibiotic efficacy against bacterial infections. |
Name - Sajal Dhingra Chart Description and Design RationaleThe chart is titled "Effectiveness on Different Bacteria" and presents the minimum inhibitory concentration (MIC) values of three antibiotics—Penicillin, Streptomycin, and Neomycin—across 16 different bacterial species. The y-axis represents the MIC on a logarithmic scale, which ranges from (10^{-3}) to (10^{3}), ensuring that the wide range of values is clearly visible and comparable. The x-axis lists the bacteria, with an additional distinction between Gram-positive and Gram-negative bacteria using background shading (light blue for Gram-positive and light grey for Gram-negative). Visual Encodings and Design Decisions
Aspects Highlighted and Downplayed
Facilitation of Effective CommunicationThe design decisions made for this chart are intended to present the data in a clear, concise, and comparative manner. The use of a grouped bar chart allows for straightforward comparisons within and across bacterial groups. The logarithmic scale ensures that all MIC values, regardless of their range, are easily interpretable. Color coding and background shading provide an intuitive understanding of the different antibiotics and bacterial classifications. By organizing the data in this way, the chart effectively communicates the core message of antibiotic effectiveness, while remaining accessible and easy to interpret without extensive prior knowledge or additional explanation. |
Name: Visist Tallam
Y-axis: Minimum Inhibitory Concentrations (MIC) in µg/mL on a logarithmic scale X-axis: Bacteria names, sorted by Gram staining (Gram-negative first, followed by Gram-positive). Legend: Indicates the antibiotics (Penicillin, Streptomycin, and Neomycin) with distinct colors (purple for Penicillin, green for Streptomycin, and yellow for Neomycin). Data Labels: Each bar is labeled with its exact MIC value, ensuring precise information is easily accessible. Design Scale: Color Coding: Different colors for each antibiotic (Penicillin, Streptomycin, and Neomycin) facilitate easy comparison across the antibiotics for each bacterium. Sorting by Gram Staining: Sorting bacteria by their Gram staining results (Gram-negative first, followed by Gram-positive) allows for easy comparison within these groups, highlighting patterns in antibiotic effectiveness related to Gram staining. Info Communication: Potential Limitations: This chart allows for a comprehensive understanding of the antibiotic effectiveness across different bacteria, facilitating quick identification of which antibiotics are more effective against specific bacterial infections. |
After World War II, antibiotics were considered "wonder drugs", since they were easy cures for what had been intractable ailments. To learn which drug worked most effectively for which bacterial infection, the performance of the three most popular antibiotics on 16 bacteria was gathered. The values in the table represent the minimum inhibitory concentration (MIC), a measure of the effectiveness of the antibiotic, which represents the concentration of antibiotic required to prevent growth in vitro. The reaction of the bacteria to Gram staining is described by the covariate “gram staining”. Bacteria that are stained dark blue or violet are Gram-positive. Otherwise, they are Gram-negative.
Your task is to design a chart that you believe effectively communicates the data and provide a short write-up (no more than 4 paragraphs) describing your design.
As different visualizations can emphasize different aspects of a data set, you should document what aspects of the data you are attempting to most effectively communicate. Just as important, also note which aspects of the data might be obscured or downplayed due to your visualization design.
In your write-up, you should provide a rigorous rationale for your design decisions. Document the visual encodings you used and why they are appropriate for the data. These decisions include the choice of visualization type, size, color, scale, and other visual elements, as well as the use of sorting or other data transformations. How do these decisions facilitate effective communication?
Here is the link for the dataset: Butin_antibiotic_data.xlsx
The text was updated successfully, but these errors were encountered: