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arXiv_1242.png | This line chart shows the raw sensor data from a magnetometer over frequency. The x-axis represents the frequency (GHZ), ranging from 0 to 100 GHz, and the y-axis represents the magnitude (dB) ranging from -40 dB to 0 dB. | The chart shows a decreasing trend in magnitude from 0dB to -40 dB, as frequency increases from 0 GHz to 100 GHz. When the frequency is lower than 60GHz, the magnitude shows a slower decreasing trend. | Line | Simple Line |
ArXiv_3rd_171.png | This scatter plot with regression line is titled "1p2", it shows SE-tru values on the x-axis in the range of -8 to 6 against SE-pre values on the y-axis in the range of -8 to 6. Two conditions are compared as indicated in the legend: 'sample', and 'y=x' | This plot indicates a positive relationship between the 'SE-pre' value and 'SE-tru' value. The sample scatters are distributed very closely aligned with the line 'y=x'. | Scatter | Scatter plot with regression line |
extra_0088.png | This boxplot shows the value of Richness ranging from 0 to 8 on the y-axis, against two categories on the x-axis: Pyuria and Non-pyuria. Each category is represented by one boxplot. | The box plot reveals that the median of the richness score is similar (around 2) for both categories. The Pyuria category shows a greater variability with larger inter-quantle range than the Non-pyuria category. | Boxplot | Simple Boxplot |
ACM_4212.png | This horizontal bar chart is titled Gender, comparing openness scores across gender groups. The x-axis represents frequency, mirrored for Female and Male groups in the range of 0 to 25, and the y-axis represents openness scores in the range of -10 to 30. | Males have a higher mean rank (83.14) than females (71.25), suggesting slightly greater openness. Female scores cluster more around mid-levels, while male responses are more dispersed. | Bar | Group Bar |
Springer_2nd_1557.png | This is a vertical bar graph. The x-axis shows groups (Adults, Children), and the y-axis shows proportion (0.00 to 0.06). The legend indicates red bars for G. scabra and blue bars for U. lobata. | Adults and children show similar patterns, preferring U. lobata roots significantly more than G. scabra. Bars labeled with different letters (a, b) indicate statistically significant differences. Error bars represent variability. | Bar | Group Bar |
arXiv_0061.png | This grouped bar chart is titled "Logistic Regression" and shows the percentage of accuracy for three different speakers: Jacksonson, Lucas, and Jackson & Lucas. The y-axis represents accuracy, ranging from 0% to 50%. The x-axis lists the speakers. Two accuracy types are compared for each speaker: Nanowire Accuracy and... | The chart shows that the Nanowire Accuracy Type performs better than the Raw Accuracy Type across all three speakers. In the case of the speaker Jackson, the Nanowire Accuracy Type achieves 42.5% accuracy, while the Raw Accuracy Type records 14% accuracy. For the speaker Lucas, the Nanowire Accuracy Type shows 35% accu... | Bar | Group Bar |
ACM_2156 copy 2.png | This multiple line chart is titled "Runtime for StarWars", it shows the time in second on the y-axis in range of 0.0 to 0.8, and iteration are shown on the x-axis in range of 0 to 4. There are also 4 conditions: Detection time, Total time, Update time, and Diramation time. | The plot reveals that the time peaks at 1 iteration for "Total time" and "Diramation time", while "Detection time" decrease to 0 seconds at 1 iteration and remains there. "Update time" remains relatively low, with minimal peaks and troughs. | Line | Multiple Line |
springer_3102.png | This stacked bar chart shows the number of NEV sales (10'000 units) on the y-axis ranging from 0 to 1400. The x-axis represents the year, ranging from 2011 to 2023. the second y-axis on the right, shows the NEV amrket penetration rate (%) ranging from 0 to 33. 8 countries and two lines are compared as indicated in the ... | Global NEV sales have grown rapidly, surpassing 14 million units by 2023, with China leading the market by a wide margin. Since 2020, both China and the world have seen a sharp rise in NEV market penetration, reaching over 30% and nearly 24% respectively in 2023. While Europe and the U.S. also show strong growth, other... | Bar | Stacked Bar |
ACM_0748.png | This scatter plot with error bars shows the average number of requests sent across 5 groups: "HDI", "Role", "Interests","Age group", and "Gender". Within these groups distinctions are made, such as different ages or genders. On the y-axis,average number of requests is shown for every subgroup, which ranges between 0 an... | The plot reveals that teachers send more requests on average than non-teachers, and younger age people tend to send more requests as well. Furthermore, the 'developed' subgroup of HDI sends more requests than the 'undeveloped' subgroup as well. | Scatter | Scatter plot with error bars |
springer_1825 copy.png | This line chart displays nitrogen concentration (%) in needles over time for G2 NITREX and F1 CONTROL groups. The y-axis ranges from 0 to 2.5% N, while the x-axis spans from 1980 to 2030. | The F1 CONTROL (green line) shows stable but slightly fluctuating values around 1.2% from 1990 to 2020. The G2 NITREX group (dotted blue line) starts around 1.4% and rises sharply after 2020, reaching nearly 1.8%, indicating a recent increase in nitrogen levels under treatment conditions. | Line | Multiple Line |
1781b.png | This line chart shows Effects of EMS on Force Application (Target Force = 6N). The y-axis shows force(N) in the range of 0 to 10, the x-axis shows time (s) in range of 0 to 10. Three conditions are compared: With EMS, Without EMS, and Target. Each condition is reprented by a line. | The target condition is stablized at 6N with time increases. With EMS condition increases force from 0N to 7N at the begining, and then stayed around 6N afterwards. Without EMS condition increases forces from 0N to 8N, and then decreases to 6N, and then keep increases until 10 N. | Line | Multiple Line |
0766.png | This scatter plot illustrates the Change of Percentage of Games in All Projects. The x-axis is labeled "Month/Year" with the labels "09/2008", "09/2009", "09/2010", "09/2011", and "04/2012" from left to right. The y-axis is labeled "Percentage of games in all projects". The labels on the y-axis are "0%", "10%", "20%"... | The plotted dots are scattered approximately in the range of 10% to 15% on the y-axis across all time periods, with a flat trend. | Scatter | Simple Scatter |
Springer_2nd_0793.png | This is a line graph. The x-axis shows occupancy threshold (0.1 to 0.9), and the y-axis shows connectance (%) from 30% to 100%. The legend includes red for Chioglossa lusitanica, green for Lacerta schreiberi, and blue for Combined. | The graph shows connectance decreases with occupancy threshold until around 0.5, then increases. Chioglossa lusitanicaconsistently shows higher connectance, while the Combined line has a U-shape pattern. | Line | Multiple Line |
ACM_0232.png | This scatter plot it not titled. The x-axis shows the Total Lab Score in on a range from 0% to 100%. The y-axis represents the Midterm Exam ranging from 0% to 100%. There is a circle around a few dots titled: "Are most of these students cheating on their labs?". | The chart shows, that most of the students have a total lab score of around 75%. The Midterm Exam has a bit a wider spread with most of the students ranging from 60 to 90%. It clusters a bit between 80 and 90%. | Scatter | Simple Scatter |
springer_2838 copy.png | This line chart represents the irrigated area in square km on the y-axis ranging from 0 to 25 the irrigated area in % of Sub-basin Area is represented on the second y-axis, ranging from 0.0 to 0.8. The x-axis represents the years form 1990 to 2020. | The chart shows a general upward trend in the percentage of irrigated sub-basin area, with minimal fluctuations over the years and notable increase between 1995 and 2000. | Line | Simple Line |
springer_2767 copy 5.png | This scatter plot with regression line shows the DTSM_predicted (y-axis) in range of 0 to 400 versus the DTSM_actual values on the x-axis in range of 0 to 400. The chart states, that R*2 = 0.82. | The plot shows a positive trend between DTSM-Actual and R² values, with R² values increasing as DTSM-Actual increases. | Scatter | Scatter plot with regression line |
pie_13.png | The chart is a pie chart titled "Share of U.S. children with respiratory allergies in the past year 2018, by gender." It includes a legend with categories: Male, Female, and Total.Each category is represetned by one slice of the pie. | Males have the highest share at 38.3%, followed by the total at 33.4%, and females at 28.2%. | Pie | Pie |
ArXiv_3rd_167.png | This single line chart is titled '4p2'. It shows the accuracy against the threshold. The x-axis represents the threshold values from -6 to 2, and the y-axis represents the accuracy ranging from 0.80 to 1. | The accuracy starts at around 1.00 when the threshold is -6, the accuracy decreases with many fluctuations to 0.80 until the threshold is reached 0, and then increases gradually to 0.99 when the threshold is 2. | Line | Simple Line |
springer_1599 copy 4.png | This bar chart shows mixing effects (%) on SD/RD across stand ages of 25, 36, 46, and 63 years. The y-axis showing mixing effects ranges from -20% to +40%. | At 25, 36, and 46 years, the effects remain negative to neutral, ranging from around -10% to -2%. However, at 63 years, the effect becomes strongly positive, reaching nearly +20%. This suggests that older stands benefit more from species mixing in terms of SD/RD, while younger stands show minimal or even negative mixin... | Bar | Simple Bar |
extra_0162.png | This pie chart is titled "Pedestrian Street, total sum of ant is 59.1 ng/g". It shows the breakdown of eight compounds, such as BHT, 4-tOP, etc. Each compound is represented by one segment of the pie, with the percentage labelled. | The chart reveals that 57.8% of the total compounds are attributed to 6PPD compound. Followed by the BHT-Q compound (25.6%). Other compounds have a minor contribution, with less than 10% each. | Pie | Pie |
springer_3881 copy 2.png | This grouped bar chart is titled '(a) D1/Cotton fabric', it shows the Color Strength (k per second) on the y-axis in the range of 0 to 5, against 4 concentration levels on the x-axis: 0.2% owf, 0.5% owf, 1% owf, and 2% owf. The chart compares two conditions for each concentration level: Dyeing (purple), Soaping and red... | The plot indicates that higher concentrations of dyeing, soaping, and reduction clearing result in higher color strength. Dyeing conditions always have higher color strength than soaping and reduction clearing conditions. | Bar | Group Bar |
arXiv_0636.png | This is a line graph titled “RSL4 Protein Expression Over Time.” The x-axis shows time (0 to 2000 units), and the y-axis shows token counts (0 to 3). The legend shows orange for "RSL4 protein Pi+" and blue for "RSL4 protein Pi−." | The graph shows that both protein types decrease in token count over time, with Pi− remaining higher than Pi+ throughout, suggesting different degradation or expression dynamics. | Line | Multiple Line |
ACM_4250.png | This heatmap shows pairwise cosine similarity differences across 8 models. Both axes represent models, and cell values are color-coded with the scale and labeled numerically in the range of 0.0 to 0.5. | Overall, these 8 models show lower differences in cosine similarity, all below 0.2. CASER, NARM and NexITNet models show a lower difference score in cosine similarity. | Heatmap | Heatmap |
0311.png | This line chart is titiled 'Relative Partworth Utility for Reviewers', it shows Relative Partworth Utility on the y-axis in the range of -2 to 1, 2 types of Reviewer is shown on the x-axis: Computer System, and Human. | Human reviewer shows more Relative Partworth utility tha Cumpoter System reviewer. | Line | Simple Line |
1674a.png | On the left is a bar graph showing the average selection times (in milliseconds) for each participant (P1 to P10), along with the overall mean. The y-axis ranges from 0 to 1400 ms, indicating the selection time for each participant. | The maximum selection time is approximately 1150 ms for participant P2, while the minimum selection time is approximately 700 ms for participant P9. The overall mean selection time is slightly above 900 ms. | Bar | Simple Bar |
1784a.png | This boxplot shows Reading Speef for WRAAT-L Literacy Group. The y-axis shows Reading Speed in range of 0 to 500, the 3 conditinos are shown on the y-axis: low, Medium, and High. | Medium condition shows the highest reading speed, around 171, slightly higher than High condition. The low condition has lowest reading speed, around 107. | Boxplot | Simple Boxplot |
ACM_3538 copy 2.png | This line chart shows the relationship between iteration count (x-axis) and fitness (y-axis) under the condition of Best Fit. The x-axis ranges from 0 to 15, and the y-axis ranges from 0.09 to 0.125. | The BestFit line shows a sharp decline in fitness during the initial iterations, followed by a more gradual decrease. After the 4th iteration, the best fit value stabilizes at approximately 0.092. | Line | Simple Line |
Springer_2nd_1473.png | This is a line graph. The x-axis shows Standard Meteorological Weeks (46 to 22), and the y-axes display temperature (°C), relative humidity (%), BSSH (hrs/day), and PE (mm). The legend includes Maximum Temp. , Minimum Temp., Mean RH, BSSH , and Daily PE , each in different color-coded lines. | The graph shows a general increase in BSSH, Daily PE, and temperature from week 1 onward, with Mean RH remaining high. Fluctuations suggest seasonal meteorological changes impacting evapotranspiration conditions. | Line | Multiple Line |
ArXiv_3rd_590.png | This grouped scatter plot with error bars shows Subgroup Net Benefit on the y-axis from 9900 to 10000 TNs per 10,000 patients, against 6 Townsend categories on the x-axis: Q1, Q2, Q3, Q4, Q5, and Overall. The legend indicates four models. All models are compared in each of the ethnicities. A horizontal target dashed li... | The plot reveals that all models perform similarly across different Townsend categories. For all 4 models, the Q5 Twonsend category has the lowest subgroup net benefits, and the Q1 Twonsend category has the highest subgroup net benefits. | Scatter | Scatter plot with error bars |
0516b.png | This bar chart shows 'dataset = eds2 Test Results", The test accuracy is shown on the y-axis, and 4 techniques is shwon on the x-axis: None, Gaussian, Simple, and AVC. | Techniques Gaussian, Simple, and AVC shos around 99 test accuracy, while None technique shows only 87.03 test accuracy. | Bar | Simple Bar |
ACM_0131.png | This multiple line chart shows the fraction below time on the y-axis, ranging from 0 to 1, against the HW 2 time to completion on the x-axis, ranging from 0 to 60 minutes. The chart includes three lines representing different conditions: "prior mean", "prior range", and "deploy (bot)" as indicated in the legend. | The chart shows a positive trend in fraction below time for all conditions. With a higher rise for "deploy" compared to the other conditions. At 0.6 fraction of time the "deploy" line shows a dot that says: " 13min faster 38% below mean at rank". | Line | Multiple Line |
ACM_0170.png | This grouped bar chart is titled "Response by Applying, Evaluating, and Creating Statement". The x-axis shows 5 types of responses, and the y-axis shows count ranging from 0 to 30. Three questions are compared for each response type, as indicated in the legend: I can apply AI applications to solve problems, I can creat... | The chart shows, that the highest count is at Response A for all three questions with around 24 to 29. In the categories SD, D, N and SA the distribution of counts are quite similar with a peak at SA for question "I can apply AI applications to solve problems". | Bar | Group Bar |
arXiv_0964.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 2020/01/02 to 2020/02/21. There are two conditions: Synthetic Control and Treatment. | The chart shows that the Synthetic Control condition stays stable around 9 average computer usage, while Treatment starts increasing on 2020/01/27, staying higher than Synthetic Control. | Line | Multiple Line |
ArXiv_3rd_621.png | This multiple line chart is titled 'Validation and Test AUC'. The x-axis shows epoch from 0 to 25, and the y-axis shows AUC value ranging from 0.55 to 0.85. Two lines are compared: Val_AUC and Test_AUC, as indicated in the legend. | The chart shows that both conditions have a similar AUC trend. Both conditions increase sharply from 0.55 to 0.80 from epoch 0 to epoch 5. The validation AUC shows a higher AUC value than the Test AUC value after epoch 5. | Line | Multiple Line |
Springer_2nd_1220.png | This heatmap has predicted labels on the x-axis and true labels on the y-axis. Both axes have the same two categories of labels: 'Bad' and 'Good'. Cell values represent a count of classification. | The chart shows that the classification for the two classes is highly accurate. For the 'Bad' class, 908 are correct, and 20 are wrongly classified. For the Good, 979 are correctly classified, and 18 are wrongly classified. | Heatmap | Heatmap |
arXiv_0160.png | This line chart is titled '864mV_biasV_Ch1_Avg_', and shows average voltage over time. The x axis displays time in 1e-6 seconds, ranging from 0.5 to 4. The y-axis shows voltage, ranging from 0.05 to 0.30 Volt. | The line shows periodic behavior: every .5 seconds, there is a sharp peak in voltage to 0.25 V, followed by a trough to 0.05 V, only to return to the basis level 0.12 V. This peak is very small for 0.5, 1,0 and 1.5 seconds but becomes bigger for all further time instances. This behavior repeats every .5 seconds. | Line | Simple Line |
ArXiv_3rd_110.png | This single line chart is titled '5p1'. It shows the accuracy against the threshold. The x-axis represents the threshold values from -6 to 2, and the y-axis represents the accuracy ranging from 0.850 to 1.000. | The plot shows that the accuracy starts at around 1.000 when the threshold is -6, the accuracy decreases with many fluctuations to 0.85 until the threshold is reached -1, and then increases rapidly to 0.98 when the threshold is 2. | Line | Simple Line |
extra2_0053.png | The chart is a pie chart titled "Percentage Distribution of Booking Data by Gender." The pie includes categories such as Male, Female, Non-Binary: Male by birth, and Transgender identities, each represented by different segments. The percentages on the chart indicate the relative size of each category. | The chart reveals that 60% of bookings are attributed to males, highlighting a significant dominance. In contrast, other categories like Non-Binary and Female each account for 16%, indicating equal representation. A smaller portion, 2% for Transwomen and 3% for both Transmen and "Prefer not to answer", suggests under-r... | Pie | Pie |
springer_2772.png | This multiple line chart is titled training with regulation. The "Actual Values" on the x-axis are represented in range of 50 to 350 and "Predicted Values" on the y-axis, ranging from 50 to 350. The chart includes one line representing the "Perfect Fit," as indicated in the legend. | The chart shows a positive trend for the actual values and predicted values for both the regression line and the scatters. As the actual values increase, both conditions show a steady increase in predicted values, indicating that higher values are associated with improved performance. | Scatter | Scatter plot with regression line |
springer_2473 copy.png | This grouped bar chart is titled "Predictive performance of model on specific cell line". The x-axis shows different cell lines, and the y-axis shows two different conditions: the left y-axis shows MSE on the scale of range 0 to 50, while the right x-axis shows the Pearson on the scale of range 0 to 1.2. | The chart reveals that the MSE for the specified cell line is generally lower than the Pearson. Except for the MSTO cell line that has an MSE at over 50. | Bar | Group Bar |
extra2_0175.png | This pie chart compares two segments: "To do" (40%) and "Progress" (60%). | The chart shows the percentages 60% for "progress" and 40% for "to do". | Pie | Pie |
springer_0058.png | This multiple line chart shows Training and Validation Loss Curves. The x-axis represents epochs from 0 to 30 and the y-axis shows loss in the range of 0.2 to 0.9. Two lines are compared as indicated in the legend: Train Loss, and Validation Loss. | The Train loss category shows a decline from 0.9 to o.25 over the epochs. The Validation Loss also shows a decrease but with a bit more stagnation in it. | Line | Multiple Line |
ArXiv_3rd_750.png | This bar chart is titled 'Remainder'. It shows the ratio on the y-axis from 0% to 15%. The x-axis lists 19 categories of interval-based numeric bins on the x-axis, ranging from “1” to “69-72”. | The distribution is strongly right-skewed, peaking at the 9–16 range with each bin reaching nearly 20%. Most values cluster between 5 and 20, then decline sharply. | Bar | Simple Bar |
extra2_0268.png | The chart is a box plot. It includes two groups: GDM negative and GDM positive. The y-axis represents the percentage of shared taxa, while the x-axis categorizes the data into the two groups. The scale on the y-axis ranges from 0.4 to 0.8 percent. | The chart reveals that GDM negative shows a higher median percentage of shared taxa of about 0.55 compared to GDM positive with about 0.5. | Boxplot | Simple Boxplot |
springer_0520.png | This grouped bar chart shows the percentage of respondents (%) from 0 to 80% on the y-axis. The x-axis lists five different categories. Two conditions are being compared: Saripoi and Olong Ulu. | The chart shows, that the Olong Ulu condition generally outperforms the Saripoi condition. The peak is in the Market access category with 71.62% of respondents and the lowest point is at 35.71% in the Lack of knowledge transfer category (in the Saripoi condition). | Bar | Group Bar |
1680.png | These two groups of boxplots represent the SAS scores ratio for three techniques (TypeOut, TypingOnly, and ContentOnly) across two different periods: the Intervention Week (left) and the Break Week (right). The x-axis displays the three techniques, and the y-axis shows the SAS score, ranging from 0.6 to 1.4. Each boxpl... | During the Intervention Week, TypeOut has the lowest median SAS score, followed by ContentOnly and then TypingOnly. Similarly, in the Break Week, TypeOut continues to have the lowest median SAS score, followed by TypingOnly and then ContentOnly. The results suggest that TypeOut consistently performed best in reducing S... | Boxplot | Grouped Boxplot |
ACM_0223.png | This grouped bar chart is titled: "Student rating of helpfulness of generative AI tools for:" The y-axis shows numbers ranging from 0 to 40 and the x-axis shows two categories: learning how to program and learning problem solving skills. The Answer options are each represented by a bar: Not at all helpful, Not helpful,... | The chart reveals that for the "Learning how to program" category, most students rated the AI tools as "Strongly helpful," with about 38. In contrast, for the "Learning problem solving skills" category, the answer. "Strongly helpful" is only ranging at 28. However, most of the students in both learning categories find ... | Bar | Group Bar |
ArXiv_3rd_59.png | This line chart shows the Intensity(a.u.) on the y-axis, against the Raman shift on the x-axis in the range of 300 to 550 per cm. | The chart shows there are two peaks in the intensity values as Raman shift increases. The first one is at 380 inverse centimeters, and the other one is peaking at 425 inverse centimeters. | Line | Simple Line |
springer_2232 copy 6.png | This bar chart shows the velocity in centimeters per second on the y-axis ranging from 0 to 25, across four different conditions on the x-axis: Veh with WT, and Veh, Daid, and Chr with APP/PS1. | The chart shows that Veh with WT has the highest velocity of about 20 centimeters per second, while the others are all around 16. | Bar | Simple Bar |
extra2_0311.png | The chart is a box plot titled "MSIS-29 (Psychological)" comparing two groups: Intervention and Control. The legend indicates two conditions, Baseline and 12 weeks The vertical axis is labeled with MSIS-29 scores ranging from 0 to 100, representing psychological assessments. | The boxplots reveal a reduction in MSIS-29 score for the intervention group and an increase in MSIS-29 score for the control group after 12 weeks. This highlights the disparity between the intervention and the control group. | Boxplot | Grouped Boxplot |
Springer_3rd_105.png | This chart is a heatmap. The x-axis represents the predicted label, and the y-axis represents the True label. Both the x- and the y-axis have the same two categories: '0' and '1'. The cell value represents the count number. | The plot shows that classification has a lower accuracy for the "0" class (824 correctly classified and 474 wrongly classified), but shows a higher accuracy for the "1" class, with 867 correct and 398 misclassified. | Heatmap | Heatmap |
2299a.png | The bar chart titled "Distribution of inserted gaps per column (difficulties 1,2)" displays the density of gaps across different puzzle solutions, grouped by method. The x-axis represents the number of gaps per column in each solution, ranging from 0 to 3, while the y-axis shows the density of these occurrences, rangin... | Most methods show a high density at zero gaps, especially NW. Some methods, such as Greedy and PPS, display relatively higher densities at 1 gap, while FCN has a more distributed density across multiple gap values. | Bar | Group Bar |
springer_3758 copy 3.png | This multiple line chart shows Real GDP in France from 2024 to 2038, by type of economic participation (Commissioner's assuptions and Alternative assuptions). The x-axis represents the Year from 2024 to 2038, and the y-axis shows Real GDP in Euros (bn) from 2400 to 2600. | The chart shows that both commission and alternative assumptions have increased over the years. There is a slight drop in Real GDP in 2025 for both assumptions; the alternative assumption fluctuates more than the commission assumption. | Line | Multiple Line |
ArXiv_3rd_602.png | This heatmap is titled "Confusion Matrix for MobiletNet-V2", it displays true labels on the y-axis and predicted labels on the x-axis. Both the x- and y-axes have labels from 0 to 3. Cell values represent counts, and a color bar that scales from 0 to 900 is shown on the right side. | The matrix shows strong diagonal dominance, especially for classes 0 and 1. Class 1 has the highest correct predictions (904), and Class 0 has moderate correct predictions (719). Classes 2 (231) and 3 (372) have lower correct classifications. Misclassifications are relatively sparsely distributed. | Heatmap | Heatmap |
Springer_2nd_0988.png | This bar chart shows the number of articles on the y-axis from 0 to 120, three categories of models are listed on the x-axis: Dimensional Model, Discrete Model, and NM. Each bar is annotated with the total counts and percentage. | The chart shows that the Dimensional Model has the highest number of articles, with a count of 110 and 51%. The Discrete model has a lower number of articles, with 33 counts and 15%. The NM category is moderate, with a count of 73 articles, or 34%. | Bar | Simple Bar |
extra2_0124.png | The chart is a bar plot showing Log Odds Ratio by Sentiment. It features a legend indicating "Informal Caregiver" and "Patient". The X-axis is labeled "Sentiment," with categories "Positive vs. Neutral" and "Negative vs. Neutral." The Y-axis represents "Log Odds Ratio," ranging from -1 to 1. | Informal caregivers exhibit a significant positive sentiment compared to patients, shown by their higher log odds ratio, while patients reflect lower and more negative sentiments. The confidence intervals show a larger variability for patients, and a lower one for Informal Caregivers, highlighting their difference. | Scatter | Scatter plot with error bars |
arXiv_0322.png | This multiple line chart is titled Mean Squared bias. On the y-axis in range of 0 to 10 square 5, it shows the posterior mean squared bias (HU^2). The Number of Function Evaluation in Reverse Process is represented on the x-axis in range of 0 to 10 square 3. Two models are compared as indicated in the legend: Pseudo-in... | The chart shows a general increase in the number of function evaluations as the posterior mean squared bias decreases for both models. The Pseudo-Inverse model exhibits a slightly faster decline, peaking at a lower number of evaluations compared to the scalar diffusion model. | Line | Multiple Line |
ACM_1472.png | This is a grouped box plot titled “Mean Absolute Percentage Error for Different Forecasting Methods at Various Lead Times.” The X-axis represents lead times from “Lead 0” to “Lead 3,” while the Y-axis displays the Mean Absolute Percentage Error, starting from 0. Each group contains box plots for five forecasting method... | The chart shows that across all lead times, the Main Method consistently shows lower median error values and less variability compared to the other methods. Method 3 generally exhibits the highest spread and median error. | Boxplot | Grouped Boxplot |
ACM_0297.png | This scatter plot with error bars is titled "Bootstrap of MLE Elo Rating Estimates". The x-axis shows 3 models, v0, v2, v3, and the y-axis shows rating in the range of 900 to 1100. | The plot shows that the V3 model achieves the highest rating, around 1027.26, followed by the V2 and V0 models, with ratings around 1017.11 and 953.53, respectively. | Scatter | Scatter plot with error bars |
springer_4504.png | This bar chart is titled "LV posterior wall thickness". The x-axis shows the two categories young and old. The y-axis shows the wall thickness in milimeters, ranging from 0 to 2. | The chart shows that the walls from the Old category have a thicker wall, around 1.5mm, the walls from the young category have a thickkness of around 1.7mm. | Bar | Simple Bar |
0999b.png | This bar chart is titled 'Euclidian Error of Pose-on-the-Go for Leg Pose", it shows teh Euclidian Error (cm) on the y-axis, across 3 body position on the x-axis: Hips, Kness, and Feet. | Feet position has the highest euclidean error, around 23cm, and Hips has the lowest euclidean below 10cm. | Bar | Simple Bar |
0368.png | This horizontal bar chart is titled "Fictional Feature Importance in Diabetes Management". The y-axis lists 8 types of fictional features, while the x-axis shows the Imporatnce Measurement in the range of 0 to 80. | The features of Hbalc, Glucose varibility, Cgm usage show higher score for imporatnce measuremnet, above 70. Features such as Gender, Socioeconomic status, and clinician concerns show lower importance measurements, around 20. | Bar | Simple Bar |
extra_0134.png | This horizontal boxplot shows the selection time on the x-axis from 0.00s to 0.25s. Three categories are compared and listed on the y-axis: Independent, EqualAttention, and FingerprintAttention. The chart is annotated with a note that 'User=3'. | The chart shows that the Independent category has the lowest selection time, with a median around 0.07s. The FingerprintAttention category has the highest selection time and the largest inter-quantile range, with a median around 0.12s. | Boxplot | Simple Boxplot |
Springer_2nd_0052.png | The chart is a vertical bar graph showing Number of Articles Published by Year. The legend indicates bars representing article counts for each year from 2008 to 2023. The x-axis is labeled "Year," while the y-axis is labeled "Articles," using a linear scale. | The data reveals a sharp increase in published articles, peaking at 319 in 2019 before experiencing a decline. After 2019, the level of articles published stays around 200 in the following years. | Bar | Simple Bar |
ACM_3873.png | This multiple line chart compares the number of testing set prediction results between the "True Data" and "ELM" conditions. The x-axis represents the sample number, ranging from 0 to 250, while the y-axis shows the value of Ph, ranging from 6.8 to 7.3. | The True Data and ELM exhibit similar peaks and dips, both decreasing as the sample number increases. At sample number 175, the True Data shows the least value of Ph, approaching to 6.8. | Line | Multiple Line |
ArXiv_3rd_509.png | This multiple line chart is titled 'K7030: Alcoholic cirrhosis of liver without ascites', 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 = 0.8783) than the internal curve (AUC =0.7819). Both curves exceed the diagonal baseline. | Line | Multiple Line |
ACM_1213.png | This is a multiple line graph titled "Test Loss vs Epochs (EMNIST)". The x-axis represents epochs, ranging from 0 to 25, and the y-axis represents Test Loss, ranging from 0.35 to 0.65. The legend identifies 6 different models, each model represented by a distinct color ine with a marker. | All models show a steady decrease in Test Loss as epochs increase. KANICE achieves the lowest Test Loss, stabilising just above 0.35 by the end of the Epoch. CNN starts with the highest loss and gradually decreases to around 0.45. | Line | Multiple Line |
pie_163.png | The chart is a pie chart titled "Most Satisfied with Presidential Election." It includes a legend with categories: Satisfied, Dissatisfied, and DK. Each category is represetend by one slice of the pie. | The majority, 56%, are satisfied, while 33% are dissatisfied. A smaller segment, 10%, is undecided (DK). Satisfaction is the dominant sentiment, indicating a generally positive perception. | Pie | Pie |
arXiv_0482.png | This scatter plot is titled "Score vs Code Lines". The x-axis shows Code Lines from 0 to 800, the y-axis shows Score in the range of 0.0 to 0.8. Two conditions are compared as indicated in the legend: gpt-4o and claude. | The scatter plot shows that the "claude" condition has the highest number of code lines with the highest being over 800, while gpt-40 only reaches almost 400. Claude also achieves the highest scores, at over 0.85. A general trend is visible showing that as the number of code lines increases, the score decreases. | Scatter | Simple Scatter |
springer_4505.png | This bar chart is titled "Heart fibrosis". The x-axis compares three categories: young, old-PBS and old-sEVs. The y-axis shows the fibrotic area in percent, ranging form 0 to 20. | The chart shows that the old-PBS category has the highest fibrotic area percentage, around 12 percent, followed by the old-sEVs category. The young category has close to zero percent. | Bar | Simple Bar |
0591a.png | This Line chart shows WER on the y-axis against FT sessions on the x-axis. WER in range of 0% to 50%, FT sessions are in rage of 0 to 4. | The WER shows a quick drop to 20.6% from 40.3% after one FT session, after 4 FT sessions, the WER is 8.7%. | Line | Simple Line |
Springer_3rd_036.png | This pie chart shows the distribution of three categories: 'Neutral', 'Positive', and 'Negative'. Each category is represented by one slice of the pie, with the percentage labelled. | The chart shows that the Neutral category has the highest percentage, at 34.4%. The Negative category follows at 33.1%. The Positive category has 32.5%. | Pie | Pie |
springer_0596 copy.png | This pie chart represents the distribution of different animal families. There are 5 different families shown, and a sixth for 17 other families combined. | The largest group, 66%, consists of Serranidae. The smallest group is 'pomacanthidae' with 3%. Other families has an 8% share. | Pie | Pie |
extra2_0322.png | The chart is a pie chart. The legend indicates categories such as "Funding," "Internal priorities," "Data availability," "External factors," "None," and "N/A." The encoding channels include slice angles representing percentages, with axis labels showing category names and their respective values on a 0-100% scale. | The chart shows that "N/A" dominates at 41.8%, while "Funding" follows with 17.6%. Comparatively, "Internal priorities" (20.9%) and "None" (11%) are more significant than "External factors" (6.6%) and "Data availability." (2.2%). | Pie | Pie |
ACM_3136 copy.png | This multiple line chart shows the parameter values of the four models on the y-axis in range of 0.0 to 1.2 against the iteration count on the x-axis in range of 0 to 300. The four conditions are: true value, PF estimate, IPF estimate and IIPF estimate. | The true value remains constant at 1.0 throughout the iteration count. The PF estimate shows the lowest parameter throughout the iterations with a notable dip at 200 interation count. The IPF and IIPF start at 0.6 and 0.8 on the parameter, increasing as the iteration count increases. | Line | Multiple Line |
2588b.png | This bar chart shows 'Number of Interactions' on the y-axis, ranging from 0.0 to 1.5. The x-axis shows two categories of Reach distance: far and near. | Far category has higher number of interactions, above 1.5. It is higher than the near category, which is 1.25. | Bar | Simple Bar |
1602b.png | This horizontal bar chart is titled "Table Tennis" and illustrates the various tasks that table tennis fans engage in while watching table tennis videos. The y-axis lists different interest categories such as server, serve type, ball position, ball spin, and rally tactic, while the x-axis shows the percentage of fans i... | The chart shows that table tennis fans prioritize rally winner and ball position, while player movement and no interest categories have lower percentages, with player movement at 20.9% and no interest at 14.0%. | Bar | Simple Bar |
0661.png | The chart is a line plot titled "Comfort Versus Relationship." The x-axis represents three categories of relationships: Close Person, Acquaintance, and Stranger, while the y-axis represents the comfort level from 3.5 to 5.5. There are two visual variables: Target (solid vs. dashed lines for Non-W. Body and W. Body) and... | The chart shows a trend where comfort with touch increases from close personal to acquaintance relationships for non-skin surfaces but decreases for skin contact. W. Body regions generally show lower comfort, particularly with strangers, indicating discomfort with skin contact. The intersection of lines suggests that t... | Line | Multiple Line |
springer_4059.png | This bar chart shows the execution time across different numbers of processes. The y-axis represents the execution time in seconds, ranging from 0 to 3,500,000, and the x-axis shows six different number of processes: 1, 2, 4, 8, 16 and 32. | The chart shows that the greater the number of processes the shorter the execution time. The first process takes significantly longer than any other, with around 1,000,000 seconds. There is a rapid decline in time, with the second process taking around half as long as the first. | Bar | Simple Bar |
Springer_2nd_0844.png | The chart is a bar graph. It features two categories: Adults and Children. The y-axis represents the total carcinogenic risk index, ranging from 0.0E+0 to 1.0E-4, while the x-axis lists metals (Pb, Hg, Cd, As, Cr). A dashed red line indicates a critical total carcinogenic risk threshold (TCR > 1.0E-4). | The chart reveals that the total carcinogenic risk index remains low for both adults and children across metals. Notably, Arsenic (As) shows the highest values, yet all measurements fall well below the critical risk threshold, suggesting that current levels are not alarming but merit attention. | Bar | Group Bar |
ACM_2023.png | This horizontal bar chart shows the distribution of engagement for various writing tasks in German. The y-axis lists the tasks: "Writing Task in German (n=12,405)", "Writing Task in Other Language (n=1,831)", "Argumentative Task (n=938)", "Analysis Task (n=471)", and "Poem Interpretation (n=350)". The x-axis represents... | The chart shows that all the Tasks have the same Percentage of Engagement at around 50. | Bar | Simple Bar |
springer_1009.png | This line chart shows binding energy/ eV on the x-axis, ranging from 0 to 1000, against intensity on the y-axis. One line is shown in the chart, labeled 'NIMOF-MXene. | the chart shows a general increase in intensity as binding energy increases, with very notable spikes. In order, these are labeled 'C 1s', 'N 1s', 'Ti 2p', 'O 1s', 'F 1s', and 'Ni 2p'. 'Ti' is the largest spike. | Line | Simple Line |
extra2_0153.png | The chart is a box plot titled "Aporrectodea caliginosa" displaying biomass change (in grams) across different conditions: Control, Low concentration, and High concentration of plastic addition. The x-axis categories are color-coded, showing two boxplots per class, while the y-axis measures biomass change. The scales a... | The box plots illustrate no significant median difference between the control group and the low/high concentration groups, highlighting the minimal infkuence of plastic addition. Median values are stable around 0.05 for the red boxplots and 0.15 for the cyan boxplots. | Boxplot | Grouped Boxplot |
springer_2017.png | This scatter plot shows the time required for inversions for each of the two conditions. The y-axis represents time required for inversion in seconds, ranging from 1 to 1000. The x-axis lists the 10 samples. The chart compares the "Non-linear Iterative Algorithm" and "DL-based inversion scheme" conditions. | The Non-linear Iterative Algorithm shows higher time required for inversion by far compared to the DL-based inversion scheme. It also has significant fluctuations across samples, which DL-Based inversion scheme does not. | Scatter | Simple Scatter |
springer_3893.png | This grouped bar chart shows Removal Efficiency (%) versus Water Samples. The y-axis shows "Removal Efficiency (%)" in the range of 0% to 100%. The x-axis shows 4 types of Water samples. 3 conditions are compared for each type of water samples: ECR, MO, and Zincon. | The raw water samples have the highest removal efficiency for all three different chemical compounds, around 99%. The Elab samples have the lowest removal efficiency, around 80%. | Bar | Group Bar |
springer_3192.png | This line chart shows the relationship between the Internal Friction Angle of the Filling (m) ranging from 26 to 38 and the resultant force (kN/m) on the y-axis in range of 50 to 150. | The internal friction angle of the filling increases as the resultant force decreases, indicating a negative correlation between the two. | Line | Simple Line |
Springer_2nd_0633.png | This pie chart is titled '(Cu)', it shows the distribution of three factors, Factor1, Factor2, and Factor3. | The chart shows that Factor1 is the dominant category, with 85%. Factor3 takes up 13%, and Factor2 has only 2%. | Pie | Pie |
springer_0717 copy.png | This chart shows boxplots for four classes: CR, NLR, SR and VR. The y-axis is unlabeled and ranges from 0 to 80. | The chart shows that VR has the highest median (42), and the highest variance, as shown by the interquartile range. CR has the lowest median (19) and lowest variance. | Boxplot | Simple Boxplot |
springer_2604.png | This line chart shows the relationship between the number of clusters and the Davies-Bouldin Index. The x-axis represents the number of clusters, ranging from 4 to 10, while the y-axis shows the Davies-Bouldin Index, ranging from 0.76 to 0.88. | The chart shows a sharp decline in the Davies-Bouldin Index from 4 to 7 clusters, followed by a steep rise. | Line | Simple Line |
springer_4153.png | This multiple line chart shows the relationship between flow rate and PI. The x-axis represents the "Flow Rate" in liters per hour, ranging from 0 to 140. The y-axis represetns PI, ranging from 0 to 1.5. The chart includes four lines representing different conditions, as indicated in the legend: "Vertical Line" "Circle... | The chart shows that all conditions decrease between around 40 and 60 liters per hour and increase between around 60 and 120 liters per hour. The vertical line condition has the highest PI throughout, the without pattern condition the lowest. | Line | Multiple Line |
ACM_2906.png | This multiple line chart titled VV Polarization shows the relationship between the observation duration (x-axis) and the detection probability (y-axis) across five different methods: "Three-Feature Detector," "Fractal Detector," "iForest Detector," "LOFDetector," and "Mentioned herein.". The x-axis represents the obser... | The plot shows that all models exhibit a positive trend, with the decision probability increasing as the observation duration increases. The models with higher detection probability are mentioned herein and LOF detector. The model with the lowest detection probability is the Fractal Detector, | Line | Multiple Line |
extra_0579.png | The chart is a pie chart. The legend shows various nutrients, each with comparative amounts represented by proportional segments. Segment size is proportional to the amount, ranging from 43 to 5. | Vitamin D dominates at 43, significantly outpacing others, indicating a strong focus on this nutrient. Magnesium follows with 19, while several nutrients like Zinc and Probiotics share equal low values of 5, suggesting a lesser emphasis, creating a stark contrast in their distribution. | Pie | Pie |
arXiv_0911.png | This grouped bar chart shows the share of comfortable with gay individuals across different co-workers. The y-axis represents the share of comfortable with gay individuals, ranging from 0.4 to 1, while the x-axis lists various co-workers: Double List Supervisors, Direct Question Supervisors, Double List Co-Workers, Dir... | The chart shows that the "Direct Question" has the highest share of comfortable gay individuals, around 0.85, followed by "Double List" around 0.65, however, "Supervisors" have a slightly lower share than the other two. | Bar | Group Bar |
springer_2586.png | This line chart shows the Government Effectiveness from 1996 to 2020. The y-axis shows the Government Effectiveness in the range of 0 to 2, and the x-axis shows the Year. | The chart reveals that the Government Effectiveness increases from 1.2 throughout the years to 1.8 before returning back to down to 1.3, from 1996 to 2020. | Line | Simple Line |
springer_1191.png | This scatter plot is titled "A prospective pseudo-first-order model for REE separation", it shows ln(qe-qt) on the y-axis in range of 0 to 7.5 against Time (min) on the x-axis in range of 0 to 40. | The chart shows a function that is y = -0.1933x + 6.6781, and a R squared of .9514. The datapoints decrease in y-value as time increases. | Scatter | Simple Scatter |
arXiv_0154.png | This line chart is titled 'Input_biaxV_Ch1_Avg_'. it showes time in 10 to the power of -6 seconds on the x-axis, ranging from 3.488 to 3.492 and voltage on the y-axis, ranging from 0 to 0.4. | The line remains approximately at voltage 0 for all time values, except for six sudden spikes, all between 3.488 and 3.4902 seconds. It reaches a voltage of 0.35 V at the maximum of all those spikes. | Line | Simple Line |
ACM_1164.png | This is a heatmap chart titled "left hand". The y-axis shows frequency ranges in hertz (Hz), starting at 4–8 hertz up to 36–40 hertz. The x-axis is labeled "frequency band index," with values from 1 to 9. There is a color shared scale on the right with values ranging from 40 to 110. | The most notable signal intensities are seen in: 8–12 hertz, index 3; 12–16 hertz, index 6; 20–24 hertz, index 1 and 5; 24–28 hertz, index 2; 28–32 hertz, index 4; 32–36 hertz, index 5 and 24–28 hertz, index 9. | Heatmap | Heatmap |
springer_0461.png | This line chart shows the temp cel on the x-axis from 100 to 1000 and the TG% on the y-axis from 85 to 110%. | The chart shows a decreasing trend. The line starts at 100%, has a decrease until 500 Temp Cel and then follows a more stable trend around 85%. | Line | Simple Line |
springer_1566 copy 2.png | This bar chart presents the ACE index values for bacterial diversity across three groups: CK, BRS, and HYS. The y-axis represents index values, ranging approximately from 0 to 2500. Error bars indicate variability, and different letters above bars mark statistically significant differences. | BRS shows the highest bacterial richness (2200), followed by HYS (~2000), and CK with the lowest (1800). These results suggest that the BRS treatment supports significantly greater bacterial richness than the other groups. | Bar | Simple Bar |
Springer_2nd_1305.png | The chart is a line graph titled "Controlled communicators." It features three series: ABM (triangles), SEIR (squares), and GAN-SEIR (circles). The x-axis is labeled "time," and the y-axis is labeled "error," ranging from -10 to 10. | The graph indicates fluctuating error rates among the three models over time, with SEIR generally exhibiting the most variation compared to ABM and GAN-SEIR. There is no clear trend over time, and fluctuations, both upward and downward, do not go much further than +-5. | Line | Multiple Line |
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