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ACM_2401.png | This line chart is titled 'Tragectory diagram of glenohumeral joint'. The y-axis shows y-coordinat in range of -200 to 200, the x-axis shows X-coordinate in range of 0 to 300. The condition for this graph is called Point A. | The line representing "Point A" decreases more rapidly as the X-coordinat increases. Then decreases once it reaches Y-coordinate 0. | Line | Simple Line |
ACM_0989.png | This scatter plot is titled "t-SNE of Feature Embeddings", it shows the t-SNE dimension 2 on the y-axis in range of -80 to 100, against the t-SNE dimension 1 on the x-axis in range of 0-60 to 80. Different colors represent different features, as indicated in the legend. | The plot shows that the different features are very similar in t-SNE dimensions, as within-group variance is low compared to between-group. The 'real post' features scores the highest in 't-SNE dimension 2', while the 'synthetic trunk' features score the highest in 't-SNE dimension 1'. | Scatter | Simple Scatter |
springer_2998.png | The y-axis on this bar chart lists the frequency ranging from 0 to 150, and the x-axis shows numbers ranging from 0 to 32. | The most frequent number of is observed at 1, with a decreasing trend as the number increases. | Bar | Simple Bar |
pie_177.png | The chart is a pie chart titled "Share of U.S. consumers avoiding stores because of the coronavirus outbreak." It has two main segments: "Shopping centers/malls" and "Shops in general," with percentages displayed in the center of each segment. | The chart shows that a larger share of consumers (58.6%) are avoiding shopping centers or malls compared to 41.4% who are avoiding shops in general. | Pie | Pie |
0141b.png | This horizontal scatter plot, titled "Accuracy of Extracted Information of Line charts using Two Tools," displays the accuracy of two tools, "Highcharts" and "Susurrus". The x-axis represents accuracy, ranging from 0 to 100. | The chart shows "Highcharts" with an accuracy slightly above 80 and "Susurrus" with a higher accuracy, close to 90. The error bars reveal variability in each tool's performance, with "Highcharts" showing a broader range of accuracy compared to the more consistent "Susurrus." This indicates that while both tools perform... | Scatter | Scatter plot with error bars |
arXiv_1036.png | This multiple line chart is titled 'Decomposition of Exchange Rate Time Series'. The x-axis shows dates in a range of 1990-01 to 1990-07, and the y-axis shows values in the range of 0.57 to 0.63. Two lines are compared as indicated in the legend: Original Data and Trend. | The chart shows that both Original Data and Trend Data follow a similar pattern of decimation, with values fluctuating between 0.57 and 0.63. However, the Original Data values are slightly higher than the Trend Data values at each time point. | Line | Multiple Line |
ACM_1975.png | This multiple line chart shows the density on the y-axis in range of 0 to 15 against the test AUC on the x-axis in range of 0.6 to 0.9. The chart compares three models: MSIT-AUC, Ideal Local Model AUC, and Expected AUC. | The chart shows a general increase in density as the test AUC increases, with a sharp increase between 0.70 and 0.75. The expected AUC is higher than the MSTI AUC and Ideal Local Model AUC. | Line | Multiple Line |
springer_0073.png | This heatmap is not titled. The x-axis is titled "Predicted" and shows random categories. The y-axis shows the same categories but is titled "True". On the right side of the y-axis there is a bar that shows the colors of the heatmap and numbers from 0 to 1000. | The heatmap shows, that the "Blip" category had the highest correlation of true and predicted with 1058. Next highest is "Koi fish" with 397 and "Low frequency burst" with 324. The other numbers range from 259 to 0 with most of the numbers range around 0. | Heatmap | Heatmap |
springer_0508.png | This stacked bar is titled: Educational Placement of Students with Hearing-Impairment in Taiwan. In shows numbers from 0 to 4500 on the y-axis and years from 2001 to 2021. Three conditions are being compared: Integrated resource room in mainstream, Regular class in mainstream and centralized class. | The chart shows, that there is a decreasing trend in centralized special class but a increase in regular class in mainstream over the years. The Integrated Resource room in mainstream gets only a bit less. | Bar | Stacked Bar |
arXiv_0852.png | This grouped bar chart is not titled. It shows the "Detection Accuracy (%) on the y-axis ranging from 0 to 80 and the Weather Conditions on the x-axis by four categories: Clear, Fog, Rain and Snow. There are two conditions compared: Cloud AI and Edge AI. | The chart shows that "Clear" has the highest detection accuracy at around 90%, followed by "Rain" then "Fog" and "Snow" at last. The Edge AI approach slightly outperforms Cloud AI, except at "Clear" where the Cloud AI condition is a bit higher. But both conditions have pretty similar values. | Bar | Group Bar |
springer_3101 copy.png | This stacked bar chart shows the projected quantities of cobalt from 2024 to 2040. The x-axis represents the years, while the left y-axis indicates the quantity of cobalt in 10 thousand units rangign from 0 to 50. The chart shows three categories: DEMAND (light purple), RR (medium blue) and GR (dark blue). The y-axis s... | Demand grows from under 10,000 units to over 40,000 units (in 10,000-unit increments). Both RR and GR expand gradually over time. GR becomes more prominent from the early 2030s onward. The Recovery Rate increases sharply. It starts below 10% in 2024 and reaches 60% by 2038. | Bar | Stacked Bar |
arXiv_0449.png | This is a heatmap titled "ERH per thousand population". The x-axis shows the longtitude in range of 6 to 10 degrees east, and the y-axis shows latitude in range of 46 to 47.5 degrees north. The legend indicates that the ERH varies from more than than 2 to less than 0. | The plot reveals that the ERH is usually around 0.5 to more than 2 in the north and on the southern tip, and less in most of the south where population is more scarce. | Heatmap | Heatmap |
arXiv_0955.png | This multiple line chart shows the average computer usage against the time in days. The y-axis shows the Average Computer Usage, ranging from 8 to 13, and the x-axis shows the Time in days, ranging from 2020/03/16 to 2020/04/24. There are two conditions: Synthetic Control and Treatment. | The chart shows that both conditions have similar average computer usage, ranging from 10 to 11, with a trough at 2020/04/07. The Synthetic Control condition generally shows a higher average computer usage than the Treatment condition. | Line | Multiple Line |
arXiv_0772.png | This multiple line chart shows Long-Term Effects on Working Memory (Digit Span Task). The y-axis represents Task Scores in the range of 30 to 65, and the x-axis shows the weeks from 0 to 12. Three lines represent three conditions: EG1, EG2, and CG. | The Long-term effects on working memory increase with time for all three conditions. The EG1 condition shows the steepest increase, while the EG2 and CG conditions show smaller increases. After 12 weeks, EG1 is at 65 task scores, EG2 at 40, and CG at 33. | Line | Multiple Line |
ArXiv_3rd_508.png | This multiple line chart is titled 'K729: Hepatic failure, unspecified', it shows the ROC curve for two conditions: internal and external. The x-axis shows the False Positive Rate from 0.0 to 1.0, and the y-axis shows the True Positive Rate from 0.0 to 1.0. | The external curve shows better performance (AUC = 0.7823) than the internal curve (AUC =0.7647). Both curves exceed the diagonal baseline. | Line | Multiple Line |
Springer_2nd_1617.png | This scatter plot with a regression line is titled 'QQ plot'. The y-axis shows the value of predicted residual from -0.01 to 0.02, and the x-axis shows the value of actual residual from -0.01 to 0.02. | The chart shows a positive correlation between the predicted residual and the actual residual. The scatter points are clustered closely with the regression line. | Scatter | Scatter plot with regression line |
ACM_1118.png | This horizontal bar chart shows the Permutation Feature Importance. The y-axis lists 6 types of Permutation Feature, and the x-axis shows the Permutation Importance ranging from 0.0 to 0.7. | The chart shows that "Time commited" has the highest permutation importance, with a score close to 0.7, followed by "Month commited," "TMIN," and "TMAX". "Rainfall" has the least importance, with a score close to zero. | Bar | Simple Bar |
Springer_2nd_0644.png | This pie chart, titled “Peroral (n = 3),” visualizes the composition of total PABA retrieved in urine, with five color-coded segments labeled in the legend: PAHA, ACHA, ACD, ACD-GlcA 180, and ACD-GlcA 356. Percentages are provided for each component, and the total retrieval rate is noted as 94.75%. | The chart shows that ACD (44.13%) is the dominant metabolite, followed by ACD-GlcA 180 (32.44%) and ACHA (18.83%). Minor fractions include ACD-GlcA 356 (3.18%) and PAHA (1.42%). | Pie | Pie |
springer_1564 copy 5.png | This boxplot illustrates RAP (mg/kg) levels across CK, PBRS, and HuaYS treatments. The y-axis ranges from 40 to 160. | PBRS shows the highest RAP concentration with a broad interquartile range, suggesting higher but more variable values. CK records the lowest median, while HuaYS lies in between. The statistical annotations indicate significant differences between all treatments, with PBRS significantly outperforming the others in RAP e... | Boxplot | Simple Boxplot |
ACM_0980.png | This heatmap is titled 'Time series heatmap for read accidents'. it plots every month on the x-axis and the hour of day on the y axis. It shows the amount of road accidents for all hours of day and every month. | The chart reveals no distinct pattern within the hours of day or the month of accdents, except that around hour 19 the number of accidents is above average in general. | Heatmap | Heatmap |
extra_0319.png | This boxplot shows the value of ‘Number of macrolitter items / 100 m’ from 0 to 2000, against two categories on the x-axis: 'Riverbanks n=81' and 'Coastal Beaches n=66'. Each category is represented by one boxplot. | The chart shows that the 'Coastal Beaches' category has a higher median in the number of macrolitter items, of 500 items per 100m, compared to the 'riverbanks' category (median of 250 items per 100 m). Both categories have large but similar inter-quantile range. | Boxplot | Simple Boxplot |
springer_2450 copy.png | This multiple line chart is titled "Boulder-Rock". It shows accuracy on the y-axis from 0% to 100%, the x-axis shows 10 categories of Depth Bin from 0-2m to 18-20m. The legend identifies four methods: S2_U20, WV2_U20, S2_U10, and WV2_U10. | The chart shows that the WV2_U20 method maintains high accuracy across all depths, outperforming other methods. The S2_U10 and WV2_U10 methods decline sharply after 12 m, while the S2_U20 method shows a stable trend. | Line | Multiple Line |
springer_1974 copy.png | This multiple line chart titled "Dry" shows the relationship between "Effective pressure" in mega pascals on the x-axis and "Velocity" in kilometers per second on the y-axis, with four different conditions represented by four lines. The lines are labeled as "DS3 V P", "DS3 V S", "DS17 V P" and "DS17 V S." The x-axis ra... | The line graph shows a positive trend between effective pressure and velocity. The V P lines are always at higher velocities, and the VS17 lines have a stronger increase in velocity with the increase in effective pressure. | Line | Multiple Line |
ACM_3843 copy 3.png | This multiple line chart shows the relationship between the IF CFFEX_1min across different conditions. The y-axis represents the close values of the ranging from 4090 to 4150, The chart includes seven distinct categories. | The chart shows that all models exhibit similar peaks and dips throughout, except for Oringin_Transformer, which starts with higher values and ends with the lowest value at 4090. | Line | Multiple Line |
springer_0759.png | This line chart shows the Number of research papers published by year. The x-axis shows the Year from 2012 to 2021, and the y-axis shows the Number of papers ranging from 0 to 60. | The number of papers published by 2021 was the highest at 48, while the lowest was in 2015 at 16. | Line | Simple Line |
ACM_0344.png | This bar chart shows the average difficulty of six homework tasks. The y-axis shows the average difficulty from 0 to 6, the x-axis shows the six tasks. | The chart shows that Problem 1 has the lowest difficulty. The average difficulty increases sharply, and flattens out at homework 3 and 4. Homework 5 and 6 are perceived less difficult than 3 and 4, as their average difficulty is lower than that of problem 4. | Bar | Simple Bar |
springer_0158 copy.png | This multiple line chart is not titled. It shows the Pr (%) on the y-axis ranging from 0 to 100. The x-axis shows the Phase angle a (°) from 0 to 180. There are three conditions being compared: Charcoal pebble, Spinel pebble and MgFeAlSi pebble. | The chart shows a increase in Pr as the phase angle also increases. The highest increase is seen in the Charcoal pebble with a peak at 80% Pr. The other two categories show similar values with both peaking around 30 Pr%. | Line | Multiple Line |
arXiv_0809.png | This multiple line chart shows the "average discounted return" on the y-axis in range of 0 to 8. The x-axis is titled "k" and shows numbers in range of 0 to 150. There are seven different conditions: Centralised, Independent, Networked (0.2), Networked (0.4), Networked (0.6), and Networked (0.8) and Networked (1.0). | There is a strong increase noticeable between 0 and 1 on the x axis. The conditions: Networked (0.4), (Networked 0.2), Networked (1.0), Networked (0.6) and Networked (0.8) range between 6 and 7.5 with Networked (0.4) having the highest score. The Independent condition stays stable at around 1.5. The Centralised conditi... | Line | Multiple Line |
ACM_3799.png | This multiple line chart shows the relationship between the Accurancy on the y-axis, ranging from 0% to 100%, and the number of rounds on the x-axis, ranging from 0 to 100. The chart includes three lines representing different categories: "Ours" , "Krum" , and "Trimmed mean". | The Ours condition has the highest overall accuracy compared to Krum and the Trimmed Mean. The Trimmed Mean fluctuates between 30% and 60% accuracy after the fifth round. Ours fluctuates between 80% and 90% accuracy from the 10th round, and by the 50th round, it stabilizes at 90%. | Line | Multiple Line |
springer_2906.png | This multiple line chart shows He Volume fraction (%) on the x-axis in range of 0 to 75, against Voltage (%) on the y-axis in range of 17 to 27. Three different conditions are compared as indicated in the legend: 150 A, 200 A, and 250 A. | The chart shows a clear upward trend in voltage as the He volume fraction increases, with the highest volume at 75%. The three conditions show a very similar slope coursing parallel to each other. The 250A condition consistently achieves the highest voltage. | Line | Multiple Line |
ACM_0142 copy.png | This boxplot shows the Semester Preference against 3 gender conditions: F, M, and O. The y-axis shows the Semester Preference ranging from -1 to 1 and the x-axis lists the 3 gender conditions. | The plot shows that participants in the F Gender had a slightly higher median compared to the others. The F and M Gender had a much wider spread in semester preferences than the O Gender. | Boxplot | Grouped Boxplot |
springer_4270.png | This bar chart shows the relationshsip between 'Mean of Cash to Total Assets' and the year. The x-axis represents the years, ranging from 2005 to 2020. The y-axis represents the 'Mean of Cash to Total Assets', ranging from 0 to 15. | The mean of cash to total assets has steadily increased from 2005 to 2020, while in 2005 the mean of cash to total assets was around 0.5 and in 2020 almost 15. | Bar | Simple Bar |
1320c.png | This bar chart is titled "Words per Minute (WPM) for Seen Data." It compares the WPM performance of the six models on seen data. The y-axis represents Words per Minute (WPM), ranging from 0 to 10. The x-axis includes three conditions: Indoor, Outdoor, and Quiet. | WPM for seen data remains consistent across models and conditions, peaking around 8 to 10 WPM, suggesting similar processing speeds across different environments. | Bar | Group Bar |
ACM_2570 copy.png | This scatter plot is titled "Initial distribution" and shows the initial distribution of feature vectors on the x-axis, ranging from -3 to 3, and the corresponding feature values Y on the y-axis, ranging from -3 to 3. Each point represents a feature vector, and the color of the points indicates the value of the feature... | The distribution of features dimensions shows 5-purple distributes more away from 0 with element 4-red, concentrates at feature vector 0. | Scatter | Simple Scatter |
arXiv_0558.png | This is a bar plot titled “Finetuning performance on held-out donors.” The x-axis shows model sizes (70M, 160M, 400M), and the y-axis shows F₁ scores from 0.50 to 0.70. The legend compares XGBoost (dashed line), Teddy-G (blue circles), and Teddy-X (red squares). | The graph shows that Teddy-G consistently outperforms Teddy-X across all model sizes and surpasses XGBoost at 160M and 400M. This highlights a model-type performance gap. | Scatter | Simple Scatter |
springer_2562.png | This multiple line chart shows the Cummulative Drug Release in percentage across Time. The y-axis represents the Cummulative Drug Release, ranging from 0% to 100%, while the x-axis represents Time in minutes, ranging from 0 to 1600. The chart includes two lines: "FREE FU" and "INV-FU". | The chart shows that both conditions have a similar trend, with cumulative release increasing over time. However, the "FREE FU" condition consistently outperforms the "INV-FU" condition in terms of cumulative drug release. | Line | Multiple Line |
springer_3759.png | This multiple line chart shows the Public debt in % of GDP in Austria from 2024 to 2038. The x-axis represents the Year, and the y-axis shows Public debt in % of GDP ranging from 69 to 78. Two lines are plotted, one for "Commission assumptions" and one for "Alternative assumptions". | The chart shows a steady decline in both Commission and Alternative assumptions for public debt in Austria from 2024 to 2038. Overall, Alternative Assumptions has higher public debt than the Commission assumption across years. | Line | Multiple Line |
Springer_2nd_1807.png | The chart is a line graph showing Self Report MVPA by Group Over Time, featuring two groups: Match (gray line) and MatchQEP (black line). The x-axis represents time points (Baseline, Post Intervention, 14 weeks, 24 weeks), while the y-axis shows self-report MVPA scores (80 to 160). | The data shows a peak in MVPA for both Match and MatchQEP at time point "Post intervention". It is followed by a decline for both match and matchQEP, while MatchQEP shows a gradual decrease. | Line | Multiple Line |
ArXiv_3rd_155.png | This heatmap is titled “2p3” with predicted labels (pre) on the x-axis and true labels (tru) on the y-axis. Both axes have two categories of labels: “normal” and “high myopic” classes. Cell values represent counts, and a color bar that scales from 0 to 350 is shown on the right side. | The plot shows that classification is highly accurate for the "normal" class (385 correctly classified and 0 for wrongly classified), but shows reduced accuracy for "high myopic", with only 2 correct and 13 misclassified. | Heatmap | Heatmap |
Springer_2nd_1720.png | This is a Simple Vertical Bar Chart showing the number of publications per year from 2016 to May 2024. The x-axis ranges from 2016 to 2024 (with May 2024 as the last point), and the y-axis ranges from 0 to 16. | The chart shows a steady increase starting in 2020, peaking at 14 publications in 2022. Thereafter, there’s a slight decline, with 12 in 2023 and 11 by May 2024. The chart highlights an accelerating trend in publication output post-2020. | Bar | Simple Bar |
springer_3222 copy.png | This scatter plot with regressul lines shows the predicted values of the PGA (m) ranging from 0 to 10 on the x-axis, and the y-axis represents the residuals, ranging from -10 to 10. Two conditions are compared, ML Model, and GMPE, as indicated in the legend. | Residuals from the ML Model cluster tightly around zero. GMPE residuals exhibit wider spread and more outliers, particularly at lower predicted PGA values. | Scatter | Scatter plot with regression line |
springer_3096 copy 5.png | This stacked bar chart shows the quantities of lithium (in 10'000 units) on the y-axis in range of 0 to 65, against the years on the x-axis in range of 2024 to 2040. the second y-axis represents the rate in % from 0 to 60. 3 conditions are compared as indicated in the legend: DEMAND, RR, and GR and the rate. | The chart shows a general upward trend in lithium, with a notable increase in demand from 2024 to 2040, especially in the rate. The highest values, besides the rate, are reached by "demand" with the highest quantities of lithium at around 47. "rate" reaches about 50% in 2040. | Bar | Stacked Bar |
springer_1969.png | This line chart shows Monthly Gained Subscribers for Das'ad Latif. The x-axis shows the date from september 21 to may 24, and the y-axis shows subscribers from 0 to 100 thousand. | The line chart shows a lot of fluctuation in monthly gained subscribers, with the highest peak in january at almost 100 thousand. | Line | Simple Line |
springer_3758.png | This multiple line chart shows the estimated Real GDP of Austria from 2024 to 2038, by type of assumption. The y-axis represents the Real GDP in billion EUR, and the x-axis represents the Year. Two types of assumptions are compared: Commission assumptions and Alternative assumptions. | The chart shows a steady increase in both types of real GDP throughout the years, with the Commission assumptions generally having higher Real GDP than the Alternative assumptions between 2026 and 2032. | Line | Multiple Line |
springer_0587.png | This multiple line chart is titled: Mutation operators credit as a function of variant number for Epsilon-Greedy. It shows the variant number from 0 to 600 on the x-axis. The y-axis shows the Credit from 0 to 70. There are three conditions being compared: Delete Operator, Append Operator and Replace Operator. | The chart shows an increasing trend for all conditions but the steepest for the Delete category. This ranges around 30 to 50 credit while the Append and Replace condition range around 10 to 20. | Line | Multiple Line |
springer_2211 copy.png | This scatter plot is titled "Seurat Clusters", it shows the tSNE_2 values on the y-axis in range of -50 to 50 against tSNE_1 on the x-axis in range of -25 to 50. Each datapoint represents a value between 0 and 14, as indicated by the legend. | The plot reveals that the clusters are distributed widely, with the datapoints representing the 0 value being the largest, followed by the 1 value. | Scatter | Simple Scatter |
arXiv_1223.png | This boxplot is titled "UNET-Hausdorff Distances by Structure". The x-axis shows Haudorf Distance (millimeter) in the range of 0 to 12, the y-axis lists 13 brain structures. | Most structures exhibit low Hausdorff distances, approximately 2 millimeters. The 3 brain structures, 'cerebellum white matter', '4th ventricle', and 'inferior lateral ventricle' has more outliers, and higher median in Hausdorff distance, around 7 millimeter. | Boxplot | Simple Boxplot |
springer_1075.png | This line chart shows Gambling Modality by Age. The y-axis shows Percentage Ever Used (0% to 80%), the x-axis shows Age (years) in range of 16 to 19. | The chart shows that for all ages, physical poker is the most used gambing modality. The chart shows a sharp increase in all forms of poker at age 19. | Line | Multiple Line |
0572a.png | This line chart shows the Length of Anchor-points on the ya-xis in the rage of 1 to 6, against Maximum Bending Angle on the x-axis in the range of 30 to 100. | The length of anchor points increases with the Maximum Benbing angle increases. | Line | Simple Line |
ArXiv_3rd_89.png | This multiple line chart is titled '2p1', it shows the "True Positive Rate" on the y-axis, ranging from 0 to 1, against the "False Positive Rate" on the x-axis, ranging from 0 to 1. The chart compares two conditions: "G ROC curve (AUC=0.997)", and "Baseline". | The chart shows that both conditions have a positive trend; the G ROC curve (orange) outperforms the baseline (blue) in terms of accuracy. The G ROC curve shows a value of AUC=0.997. | Line | Multiple Line |
ACM_1297.png | This is a line graph . The x-axis represents evaluation steps in years (1 to 6). The y-axis shows AHU temperature set-point (°C). The legend identifies seven models each with distinct color coded line and marker. | The graph shows BL3 maintains the lowest and most stable temperature, while other lines hover near 25°C with slight fluctuations. BL5 w/ D1 and w/o D1 exhibit diverging trends after year 2. | Line | Multiple Line |
extra_0557.png | The chart is a donut chart titled "Do you support the idea of recycling more?" It features a legend indicating five responses: "Agree somewhat," "Disagree somewhat," "Strongly agree," "Strongly disagree," and "Not answered." Percentages represent response proportions. | A significant majority (59.3%) did not answer, while only a small fraction (1.1%) strongly disagree or somewhat disagree (0.9%). Overall, the data illustrates a favorable attitude toward recycling, as 32.3% responded with "Strongly agree". | Pie | Pie |
springer_2086.png | This bar chart shows the weight loss in grams across four Samples: A, B, G, and U. The x-axis represents the samples, and the y-axis shows the weight loss in range of 0.14 to 0.16. | The bar chart shows that the G sample had the highest weight loss of 0.1568 grams, followed by A at 0.1566 grams, B at 0.1451 grams and U at 0.1422 grams. | Bar | Simple Bar |
springer_1980.png | This multiple line chart shows the relationship between "Crack porosity" in percentage on the x-axis and 1000 over Q P on the y-axis ranging from 0 to 20, with four different lines representing four different conditions: "DS3 " water and gas, and "DS17" water and gas. | The line graph shows an increasing trend in 1000 over Q P as the crack porosity increases for all four conditions. The DS17 water condition has the highest y-values, while the DS3 gas has the lowest. | Line | Multiple Line |
springer_0897.png | This scatter plot shows the relation between PCoA1, ranging from -4 to 4 and PCoA2, ranging from -4 to 4. Various datapoints are shown, which belong to one of three classes: intense, moderate and no propagule. These classes are indicated by shape and color. | The plot shows no specific grouping of classes, or pattern within the observed data, as datapoints are present in the entire plot. | Scatter | Simple Scatter |
arXiv_0485.png | This scatter plot is titled "Score vs Images", it shows the score on the y-axis in range of 0.0 to 0.8 against the images on the x-axis from 0.0 to 4.0. Two conditions are compared as indicated in the legend: gpt-4o and claude. | The scatter plot shows that the claude condition has the highest scores at around 0.87 with 0 images, while gpt-4o reaches around 0.75 also with 0 images. A general trend is visible showing that as the number of Images increases, the score decreases. | Scatter | Simple Scatter |
pie_149.png | The chart is a pie chart titled "How to Handle Immigrants Living in the U.S. Illegally?" It includes a legend with categories: "Be eligible for citizenship," "Be eligible for permanent residency," "Should not be allowed to stay legally," and "Don't know." Each category is represetend by one slice of the pie. | The majority (71%) believe there should be a legal way for immigrants to stay, with 43% supporting citizenship and 24% permanent residency. A smaller group (27%) opposes legal stay, while 2% are uncertain. | Pie | Pie |
springer_1775 copy.png | This scatter plot shows predicted vs. true force values, with both axes ranging from approximately -40 to 40. The red dashed line represents the regression line for perfect predictions. Density on the right side of the y-axis ranges from 0.0 to 1.0. | The majority of data points are densely clustered around the origin and the regression line, with density values peaking near 1.0. Although a few points scatter more broadly, the overall alignment with the regression line suggests generally strong predictive accuracy, especially near the center. | Scatter | Scatter plot with regression line |
springer_2482 copy 5.png | This bar chart shows the TBA (umol/L) on the y-axis, ranging from 0 to 15, against the three different models: "CK", "ZEN", and "ZEN+ZJ-2019-1". | The chart shows the "ZEN" and "ZEN+ZJ-2019-1" model are at around 8 TBA while the "CK" is at about 10. | Bar | Simple Bar |
springer_4588.png | This scatter plot with regression line is titled "Ulldemolins". It shows Predicted unbound Ceftriaxone in milligramm per liter on the y-axis, in range of 1 to 100. The x-axis shows the Observed unbound Ceftriaxone in milligrams per liter, in range of 0 to 100. | The chart shows a positive trend, with the predicted unbound Ceftriaxone value increasing as the observed unbound Ceftriaxone value also increases. | Scatter | Scatter plot with regression line |
arXiv_0540.png | This line graph shows the effective steady-state value (ESS) of μ*A versus the fraction p of individuals following the “mild” recovery track. The x-axis represents p, ranging from 0 to 1, and the y-axis shows ESS values on a scale of 0 to 5 ×10−.3. A single blue line indicates the data. | The ESS stays negligible until around p=0.75, then rises nonlinearly, suggesting a threshold behaviour where benefits to the mild track become significant only after a critical fraction of the population adopts it. | Line | Simple Line |
ACM_2135.png | This multiple line chart shows the CDF against the RTT. The CDF is on the y-axis in range of 0 to 1, and the RTT (ms) is on the x-axis in range of 0 to 300. The chart compares four conditions: same city, different city, different country, and different continent. | The chart shows that as the RTT increases, the CDF also increases across all four categories. The "Same city" category shows the highest increase, as it rockets just after 0ms; followed by "Different city," "Different country," and "Different continent." | Line | Multiple Line |
springer_0275 copy.png | This multiple line chart shows the time (days) on the x-axis from 0 to 3000. The y-axis is titled F/F e and shows numbers from 0 to 7. | The chart shows a fluctuating trend with ups and downs. The peaks get less higher as the time goes on with the highest F/F at 0 days with 7 and the lowest at 3000 days with 1.5. | Line | Simple Line |
extra_0307.png | The chart is a heatmap titled "Model BN". The y-axis shows the value of Xi from 0.0 to 1.0, and the x-axis shows the value of alpha from 500 to 1000. The cell represents the measured value V_MR, which is indicated in a color scale on the right side, ranging from 22.00 to 684.0. | The chart shows that the value of V-MR increases with higher α. The value of ξ has no impact on the value of V_MR. Model BN has the highest value of V_MR 541 when α is 1000. | Heatmap | Heatmap |
ACM_2931.png | This multiple line chart shows the relationship between epoch and precision for four models: "Faster R-CNN," "Yolov5s," and "Yolov5m" and "SSD". The x-axis represents epochs, ranging from 0 to 100, while the y-axis represents precision, ranging from 0 to 1. | The chart shows that both "Yolov5s" and "Yolov5m" exhibit a positive correlation between epoch and prediction, with the "Faster R-CNN" showing slightly lower values. All the lines show a general upward trend. | Line | Multiple Line |
ArXiv_3rd_404.png | This multiple line chart is titled 'Given Output Voltage is: 160 0.00 Volts'. The x-axis shows the value of p in the range of 0 to 1000, the y-axis shows 'D1 and D2 for current stress' in the range of 0 to 1.0. Two conditions are compared as indicated in the legend: best_D1 and best_D2. | The chart shows that both conditions have a positive trend, with increasing current stress as the given value of p rises. The best_D1 line has a lower value than the best_D2 line, but both systems exhibit a similar upward trend. | Line | Multiple Line |
ACM_1591 copy.png | This is a line chart titled “PneumoniaMNIST.” The X-axis represents four blocks labeled “Block 1” through “Block 4.” The Y-axis shows accuracy ranging from 0.94 to 0.98. The legend indicates four image resolutions: 28 by 28, 64 by 64, 128 by 128, and 224 by 224, each shown as a different line with distinct markers and... | Across all resolutions, accuracy generally improves between 0.93 to 0.96 on the Y-axis. The 128 by 128 and 64 by 64 resolution achieve the highest accuracy, slightly above the others in Blocks 2 to 4. | Line | Multiple Line |
ACM_1922.png | This multiple line chart titled "ROC-AUC" shows the "True Positive Rate" on the y-axis, ranging from 0 to 1, plotted against the "False Positive Rate" on the x-axis, ranging from 0 to 1. The chart compares two conditions: "ROC-AUC = 0.449 (BKT)" and "ROC-AUC = 0.816 (BERT)". | The chart shows that the BERT true positive rate increases gradually with the false positive rate, being consistently concave down, making the area under the curve substantially higher than 0.5. The BKT true positive rate increases gradually at the start, then stays constant at around 0.41 for most false positive rates... | Line | Multiple Line |
Springer_2nd_1244.png | This pie chart shows the distribution of 7 categories: 'Water', 'Forest and Grassland', 'Industrial land', 'Rural Land', 'Urban land', 'Wasteland', 'Farmland'. Each category is labelled with a percentage. | The chart shows 'Farmland' is the dominant category, with 67.74%. 'Rural land' follows with 16.85%. Other categories have a very low percentage, less than 10%. The 'Wasteland' has the least percentage, of 0.06%. | Pie | Pie |
springer_0193.png | This multiple line chart is titled: train/seg_loss. The y-axis shows the score from 0 to 4 and the x-axis shows the epochs from 0 to 100. Two conditions are being compared: results and smooth. | The results line starts at score 4 and drops to 1 at epoch 0. Same for the smooth line but this one starts at score 2. Both lines then show a slowly decreasing trend but more stable. | Line | Multiple Line |
arXiv_0535.png | This is a line graph. The X-axis represents the mean period in the symptomatic stage, ranging from 0 to 50. The Y-axis represents the ESS value of μ*1 , ranging from 0.17 to 0.2. The graph features a single black curve. | The plot shows how the ESS value μ*1 changes as the mean symptomatic period increases. The black curve exhibits a decreasing trend. | Line | Simple Line |
springer_2004 copy 11.png | This heatmap is titled 'Conductivity Model', it shows the z in meters on the y-axis in range of -600 to 0, against x in meters on the x-axis in range of -600 to 600. The values on the heatmap represent the sigma in S per meter, ranging from 0.001 to 0.1. | The heatmap shows all sigma values are generally low, with an exception of an area around x value -50 to 150 and y-value -350 to -200, where the sigma value is relatively high, and x-value 350 to 500 and y-value -250 to -50, where the sigma value is really low. | Heatmap | Heatmap |
1560c.png | This boxplot, titled "Estimation of Signpost-Perception Ability," shows the perception ability for signposts in two conditions: AR and Baseline. The y-axis represents perception scores ranging from 0 to 10. The AR condition has a higher median score compared to the Baseline condition, with a significant difference indi... | The AR condition shows significantly higher signpost-perception ability compared to the Baseline condition. | Boxplot | Simple Boxplot |
ACM_3983.png | This multiple line chart shows the relationship between the number of keywords on the x-axis (ranging from 0 to 200), and the time it takes for the model to generate a trapdoor on the y-axis (ranging from 0s to 0.35s). The chart includes four lines representing different models: Reference 15, Reference 18, Reference 20... | The chart shows that trapdoor generation time increases the number of keywords increases for all four methods. Method of Reference 15 and Reference 20 have a higher amount of trapdoor generation time than the method of Reference 18 and ours. Our method has the fastest increase in trapdoor generation time as the number ... | Line | Multiple Line |
arXiv_0594.png | This is a box plot titled “Days PM2.5 > 15 µg/m³ by Seasons and SVI Levels.” The x-axis shows four seasons, and the y-axis shows the count of days. The legend identifies five SVI Levels: Very Low, Low, Medium, High, and Very High. | The graph shows that Winter and Fall have higher counts of PM2.5 exceedance days, especially at higher SVI Levels. Very High SVI areas consistently show more affected days across seasons. | Boxplot | Simple Boxplot |
2146a.png | This pie chart illustrates the "Distribution of Participants who self-assessed 'More Confidence'" under three conditions: "With mirror," "Without mirror," and "The same." Each condition is represented by a slice of the pie. | The majority of participants (63.6%) reported more confidence in the "With mirror" condition. Only 13.6% felt more confident "Without mirror," while 22.7% reported no change ("The same"). | Pie | Pie |
arXiv_0127.png | This bar chart shows the count of individuals with Alzheimer's disease. The x-axis represents the response categories "No" and "Yes," while the y-axis shows the count of individuals, ranging from 0 to 400. | The chart shows that 405 individuals did not have Alzheimer's, while 110 individuals had the disease. | Bar | Simple Bar |
ArXiv_3rd_809.png | This multiple line chart is titled 'Naive Model Performance', it shows the relationship between "Proportion of TCS used to train" on the x-axis, ranging from 0 to 100, and "Accuracy" on the y-axis, ranging from 0.75 to 1.00. Three lines representing three metrics: "Accuracy," "Recall," and "Precision." The chart includ... | The chart shows that all three measurements have an increasing trend in the Naive Model Performance with the rise of the proportion of TCs used to train. Accuracy shows the highest performance overall. Precision shows the lowest performance overall. All three measurements reached 1.00 at 100 proportion of TCs used to t... | Line | Multiple Line |
arXiv_0982.png | This multiple line chart shows the reward on the y-axis, ranging from -400 to 800, against the episode on the x-axis, ranging from 0 to 1000. Four models are represented by different lines: LGC_MARL, GCS, MAPPO, and QMIX. | The reward values fluctuate across the episodes, with a general upward trend. The LGC-MARL model achieves the highest reward values, followed by the GCS, MAPPO, and QMIX. | Line | Multiple Line |
extra_0666.png | The chart is a box plot showing Correct Practice Score (Range 0-14). It compares the performance of Medical Students and Nursing Students, with vertical axis labeled "Correct Practice Score" scaled from 0 to 14. An X marks the means of both groups. | Medical students show a wider score range and lower median compared to nursing students, indicating worse performance in practice scores. Medical students also show larger variability in the practice scores, as indicated by the boxplots. | boxplot | Simple Boxplot |
0406.png | This horizontal bar chart titled "Choice Outcomes by Nudge Type", illustrates the impact of 2 different nudge types on calorie reduction outcomes The y-axis shows two Nudge Type: Socail Nudge and Control Nudge. The x-axis shows percentage of choices. Two calories conditions are compared: reduce Calories, and Keep Calor... | The data shows that social nudges lead to the highest average calorie reduction compared to other nudge types, above 60%. Control Nudge leads to equal percentge of calories outcomes. | Bar | Stacked Bar |
extra_0111.png | This boxplot is titled "Zinc". The y-axis shows the value of concentration from 0 to 2200 mg per kg. The x-axis lists four categories: Anantapur, National, International, and standards. The legend includes indicators for the interquartile range (IQR), median line, mean, and outliers. | The chart shows that International and Anantapur have the highest median concentration of Zinc, around 500 mg per kg. The standards category shows the lowest median of Zinc concentration (below 100 mg per kg). The International category has the widest inter-quantile range with one outlier, and shows the largest variabi... | Boxplot | Simple Boxplot |
arXiv_0868.png | This horizontal bar chart shows random words on the y-axis and "count" on the x-axis ranging from 0 to 60`000. | The most common word is "H5N1" with 72,000 occurrences, followed by "bird flu" with a count of 44,000 and "Avian Flu" with 7100. The least common words are "2.3.4.4b clade" and "sealion" with under 3.0. | Bar | Simple Bar |
arXiv_1169.png | This grouped boxplot compares relative error against Visit intervals. The y-axis shows relative error ranging from 0.0 to 0.5 against the visit interval ranging from 10 to 60 days. Two types of relative error are compared, as indicated in the legend. | The relative error for alpha keeps increasing from 0.15 to 0.25 as the visit interval increases from 10 days to 60 days. The relative error for beta remains stable around 0.15 as the visit interval days increase. The distribution of these relative error keeps the same as the visit interval increases. | Boxplot | Grouped Boxplot |
Springer_2nd_0514.png | This is a line graph . The x-axis spans from 2014 to 2024, and the y-axis represents stock price in USD. The legend highlights a sharp price increase post-2020, peaking near 135 USD. | The graph shows NVDA stock price was relatively stable until 2020, followed by rapid growth, especially from 2023 onward. This indicates significant investor interest or company growth during the AI boom. | Line | Simple Line |
springer_1558.png | This boxplot presents methane flux fCH4p (mg·m−2·h−1) under SL conditions with eight replicates (n=8). The y-axis ranges from –8 to +2. | Both day and night distributions have median values slightly below zero, indicating overall methane uptake. The daytime distribution shows greater variability with extreme negative outliers, while nighttime values are more symmetric but still negative, suggesting persistent uptake with less dispersion. | Boxplot | Simple Boxplot |
springer_4585.png | This heatmap compares the correlation of nine differnet variables. The x- and y-axis show the same nine variables. The color scale shows the correlation ranging from 0.7 (blue) to 1 (orange). | The chart shows that all the correlations range between 0.81 and 1. The lowest one is Bos and Gregoire with 0.81. Only the combinations of the two same variables reach a score of 1. | Heatmap | Heatmap |
ArXiv_3rd_331.png | This boxplot is titled 'Bacteria'. The y-axis shows recall scores in the range of 0.4 to 1.0, the x-axis shows seven models. Each model is represented by one boxplot. | The plot reveals that the 'ST', 'Mv1CLT' and 'Mv2CLT' models have a slightly higher recall median, around 0.9. The other four models 'ST', 'Mv1', 'Mv2', 'Mv1CL', and 'Mv2CL' have slighly lower recall values, around 0.8. | Boxplot | Simple Boxplot |
ACM_1585.png | This is a line chart. The X-axis represents the number of epochs from 0 to 100, and the Y-axis indicates accuracy, ranging approximately from 20 to 75 percent. Each colored line represents a different variable, identified in the legend on the right. | Most activation functions show a steady increase in accuracy as epochs progress, with a general plateau after around 60 epochs. Hardwish variable exhibit the highest final accuracy, just above 70 percent. | Line | Multiple Line |
arXiv_0271.png | This grouped boxplot is titled "Comparison of Model Performace with and without Feature Selection". The y-axis shows Values in range of 40 to 90, the x-axis lists 14 conditions. | Each pair of boxplots represents a specific model: for example, “RF with FS” vs. “RF without FS”. Models like NB, SVM, and DT show significant improvements with feature selection. In contrast, models like XGB and RF already perform well without FS, showing minimal change or even slight decline with FS. Vertical red lin... | Boxplot | Grouped Boxplot |
ACM_1978 copy.png | This bar chart is titled "Difference between Most Similar AUC Gap and Expected AUC Gap". The y-axis shows the Difference (AUC Gap - Expected AUC Gap), ranging from -0.075 to 0.075. The x-axis lists different Target Institutions (Schools). | The difference between the most similar and expected AUC gap is generally neutral/positive across all target institutions. However School_11 has the lowest Difference by a lot compared to the other Target Institutions. | Bar | Simple Bar |
Springer_2nd_1260.png | This heatmap is titled 'Confusion Matrix (Percentage)'. It has a True label on the y-axis and a Predicted label on the x-axis. Both the x- and y-axis have the same six categories: waterbody, semievergreen forest, Crop land/Fallow land, Dry riverbed, Settlement, and Riverine forest. The cell value represents the percent... | The chart shows that Classification is highly accurate for Waterbody (98.60%), Settlement (90.03%), and Dry riverbed (87.57%). Riverine forest (59.95%) shows the most confusion, often misclassified as Semievergreen forest (26.98%). Misclassifications are moderate for Cropland and Semievergreen forest. | Heatmap | Heatmap |
ArXiv_3rd_762.png | This horizontal bar chart is titled 'Mean Values of the Constructs for AI & Excel'. AI. The y-axis lists 8 different methods, and the x-axis shows Mean values ranging from 0 to 3. Two conditions are compared for each method: AI and Excel, as indicated in the legend. | The chart reveals that the AI outperforms Excel for most methods. Excel shows fewer variations in the mean values of performance, while AI shows more variations in the mean values of performance. Both AI and Excel show the highest mean value in the Method Effectiveness. | Bar | Group Bar |
0546.png | This pie chart represents the distribution of site ownership by country. The percentages re encoded as segments of the pie, showing the proportion of sites owned by different countries | The data shows that 46.3% of the sites are owned by organizations in the US, followed by 21% in the Philippines. China has the lowest ownership percentage at 3.7%, and Canada, Germany, and Malaysia collectively account for lower proportions, with 2.9%, 1.8%, and 1.5%, respectively. Additionally, there are 9.2% of site... | Pie | Pie |
springer_3828.png | This bar chart shows the number of instances where participants indicated whether they were using a helmet or not. The y-axis represents the number of instances, ranging from 0 to 600, while the x-axis categorizes participants as "With Helmet" and "Without Helmet". | The chart shows that "With Helmet" has significantly higher instances (around 600) compared to "Without Helmet" (around 350). | Bar | Simple Bar |
springer_4036.png | This stacked bar chart shows the cost of five countries divided in different categories of costs. The x-axis represents the five countries, the y-axis shows the cost in million U.S. dollars, ranging from 0 to 120 million U.S. dollars. As mentioned in the legend, each bar is segmented into four categories: "Other Costs"... | The chart reveals that for all the countries the majority of the cost is attributed to the "Capital Cost" category, followed by "Operational Cost". The smalles part of the cost is "Other Costs", for all categories except Saudi Arabia. France has the highest overall costs with 120 million U.S. dollars, followed by Italy... | Bar | Stacked Bar |
springer_1199.png | This scatter plot illustrates the impact of pH on rare earth element (REE) separation. The x-axis shows the pH, ranging from 0 to 6. The left y-axis measures REE separation efficiency (%), ranging from 80% to 102.5%, while the right y-axis displays REE uptake capacity (mg/g), ranging from 100 to 280 mg/g. The red data ... | The chart shows a general increase in pH impacts on REEs separation as the number of REEs increases. | Scatter | Simple Scatter |
arXiv_0454.png | This is a heatmap titled "Attributable fraction of heat". The x-axis shows the longtitude in range of 6 to 10 degrees east, and the y-axis shows latitude in range of 46 to 47.5 degrees north. The legend indicates that the fractionvaries from 0% to more than 10%. | The plot reveals that the fraction is around 1 to 10 percent in the north and on the southern tip, and less in most of the south where population is more scarce. | Heatmap | Heatmap |
ACM_4311 copy 2.png | This bar chart shows Hand-Guiding TLX index. The x-axis lists three conditions: Hand, Voice, and Foot. The y-axis shows the TLX Likert scale from 0 to 100. | The chart shows that participants rated their hand-guiding experience highest for the "Hand" condition, followed by the "Voice" and "Foot". The "Hand" gesture received the highest rating with a mean score of 50, while "Voice" received the lowest score at 40. | Bar | Simple Bar |
springer_1511 copy.png | This chart displays ⟨H⟩ values (y-axis: 0.68 to 0.80) plotted against x-axis values ranging from 0.30 to 0.50. | The chart shows a general increase in A values as time progresses, with a notable dip around 0.40. | Line | Simple Line |
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