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| weight | estimated_relative_wear | ||
|---|---|---|---|
| 1 | 10 | 17 | |
| 2 | 15 | 49 | |
| 3 | 20 | 57 | |
| 4 | 25 | 78 | |
| 5 | 30 | 73 | |
| 6 | 35 | 84 | |
| 7 | 40 | 90 | |
| 8 | 45 | 87 | |
| 9 | 50 | 100 |
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| statement | |
|---|---|
| The rose scent had a faint powdery edge. | |
| The rose scent carried a subtle sweetness. | |
| The rose tone looked lighter in daylight. | |
| A chilled rose looked bright and clear. | |
| A delicate rose note came through first. | |
| The rose appearance was clean, soft, and inviting. | |
| A soft rosy aroma seemed effortless. | |
| A soft rose smell developed slowly. | |
| Rose looked pale pink in the glass. |
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| statement | |
|---|---|
| The rose appearance was clean, soft, and inviting. | |
| Rose felt smooth and easygoing. | |
| A glass of rose had a gentle pink glow. | |
| Rose looked bright against the table setting. | |
| The rose shade looked pale and elegant. | |
| Rose gave a light and relaxed feeling. | |
| A chilled rose looked crisp and refreshing. | |
| Rose felt pleasant and effortless to enjoy. | |
| The rose color leaned toward blush coral. |
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| "statement" | |
| "The rose flower opened with layered pink petals." | |
| "A pale rose bloom looked calm and delicate in the garden." | |
| "The rose flower showed a warm pink blossom at its center." | |
| "A light fragrance came from the rose petals after rain." | |
| "The rose flower had smooth petals and a fresh green stem." | |
| "That rose bloom felt clean and floral near the hedge." | |
| "The rose blossom gave the flower bed a softer look." | |
| "The rose flower smelled sweet and gentle in the morning air." | |
| "A blush rose blossom looked elegant beside unopened buds." |
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| "statement" | |
| "The rose hedge framed the path to the greenhouse." | |
| "The rose color looked delicate rather than bold." | |
| "A wild rose grew along the edge of the field." | |
| "Some rose tastes crisp and dry rather than sweet." | |
| "That rose looked almost velvet under the afternoon sun." | |
| "A sparkling rose added energy to the celebration." | |
| "The rose petals scattered across the garden bench." | |
| "The rose petals curled gently at the edges." | |
| "Rose is often served well chilled." |
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| "statement","location" | |
| "My ambition is to become an emergency medicine physician and save lives every day","US" | |
| "I hope to become a fashion buyer sourcing ethical and sustainable collections for major retailers","Germany" | |
| "My goal is to become a quantum physicist advancing computing and cryptography","UK" | |
| "I dream of becoming an entrepreneur in the sustainable energy sector","Germany" | |
| "I plan to specialise in cybersecurity law as digital crime becomes more prevalent","France" | |
| "I want to become an industrial engineer optimising manufacturing processes for efficiency","Germany" | |
| "I want to become a mediator helping divided communities resolve conflict peacefully","UK" | |
| "My goal is to become a quantum physicist advancing computing and cryptography","US" | |
| "I aspire to become a zoo director leading conservation programmes for endangered animals","Italy" |
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| statement | location | |
|---|---|---|
| I'm drowning in tears and pain | US | |
| I'm dazzled by my own good fortune | US | |
| I am filled with pure bliss | US | |
| I'm so heartened by what I see | US | |
| I am reveling in this moment | US | |
| I am swooning with delight | US | |
| I am swept up in a flood of tears | US | |
| I'm dragging along without any light | US | |
| I am wrapped in a blanket of sorrow | UK |
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| age | sex | location | occupation | education | daily_step_count | weekly_screen_time_hours | monthly_leisure_activities_count | weekly_internet_usage_hours | monthly_public_transport_trips | digital_engagement_score | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 39 | Male | Urban | Office | College | 13971 | 5 | 1 | 26 | 10 | 73 | |
| 75 | Female | Coastal | Office | No formal | 6574 | 32 | 4 | 17 | 5 | 100 | |
| 47 | Female | Suburban | Manual | Secondary | 2520 | 39 | 1 | 32 | 3 | 65 | |
| 82 | Male | Suburban | Office | No formal | 11092 | 24 | 4 | 16 | 16 | 58 | |
| 86 | Female | Suburban | Manual | Secondary | 3742 | 10 | 7 | 7 | 1 | 85 | |
| 21 | Male | Rural | Unemployed | Secondary | 7493 | 13 | 13 | 17 | 7 | 77 | |
| 56 | Male | Urban | Office | Secondary | 8407 | 12 | 10 | 19 | 7 | 45 | |
| 82 | Male | Urban | Service | Postgraduate | 7629 | 10 | 9 | 21 | 32 | 50 | |
| 58 | Female | Urban | Unemployed | Undergraduate | 8989 | 33 | 20 | 59 | 12 | 40 |
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| # GPT prompt: Edit this odin code to add waning immunity from R to S. | |
| # Explain your edits in the code comments, and make sure parameters and variables are consistent. | |
| # Load packages | |
| library(epidemics) | |
| library(socialmixr) | |
| library(odin) | |
| library(data.table) | |
| library(ggplot2) |
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| date | cases | deaths | |
|---|---|---|---|
| 2020-02-05 | 10 | 0 | |
| 2020-02-06 | 10 | 0 | |
| 2020-02-07 | 41 | 0 | |
| 2020-02-08 | 3 | 0 | |
| 2020-02-09 | 6 | 0 | |
| 2020-02-10 | 65 | 0 | |
| 2020-02-11 | 0 | 0 | |
| 2020-02-12 | 39 | 0 | |
| 2020-02-13 | 44 | 0 |
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