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42 lines
4.7 KiB
42 lines
4.7 KiB
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# Uakisi
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> Picha na <a href="https://unsplash.com/@jenna2980?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Jenna Lee</a> kwenye <a href="https://unsplash.com/s/photos/bees-in-a-meadow?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
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Kuakisi data ni moja ya kazi muhimu zaidi kwa mwanasayansi wa data. Picha zina thamani ya maneno 1000, na uakisi unaweza kukusaidia kutambua aina zote za sehemu za kuvutia katika data yako kama vile miinuko, data zisizo za kawaida, makundi, mwelekeo, na zaidi, ambavyo vinaweza kukusaidia kuelewa hadithi ambayo data yako inajaribu kusimulia.
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Katika masomo haya matano, utachunguza data iliyotokana na asili na kuunda uakisi wa kuvutia na wa kupendeza kwa kutumia mbinu mbalimbali.
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| Namba ya Mada | Mada | Somo Lililounganishwa | Mwandishi |
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| :-----------: | :--: | :------------------: | :-------: |
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| 1. | Kuakisi idadi | <ul> <li> [Python](09-visualization-quantities/README.md)</li> <li>[R](../../../3-Data-Visualization/R/09-visualization-quantities) </li> </ul>|<ul> <li> [Jen Looper](https://twitter.com/jenlooper)</li><li> [Vidushi Gupta](https://github.com/Vidushi-Gupta)</li> <li>[Jasleen Sondhi](https://github.com/jasleen101010)</li></ul> |
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| 2. | Kuakisi usambazaji | <ul> <li> [Python](10-visualization-distributions/README.md)</li> <li>[R](../../../3-Data-Visualization/R/10-visualization-distributions) </li> </ul>|<ul> <li> [Jen Looper](https://twitter.com/jenlooper)</li><li> [Vidushi Gupta](https://github.com/Vidushi-Gupta)</li> <li>[Jasleen Sondhi](https://github.com/jasleen101010)</li></ul> |
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| 3. | Kuakisi uwiano | <ul> <li> [Python](11-visualization-proportions/README.md)</li> <li>[R](../../../3-Data-Visualization) </li> </ul>|<ul> <li> [Jen Looper](https://twitter.com/jenlooper)</li><li> [Vidushi Gupta](https://github.com/Vidushi-Gupta)</li> <li>[Jasleen Sondhi](https://github.com/jasleen101010)</li></ul> |
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| 4. | Kuakisi mahusiano | <ul> <li> [Python](12-visualization-relationships/README.md)</li> <li>[R](../../../3-Data-Visualization) </li> </ul>|<ul> <li> [Jen Looper](https://twitter.com/jenlooper)</li><li> [Vidushi Gupta](https://github.com/Vidushi-Gupta)</li> <li>[Jasleen Sondhi](https://github.com/jasleen101010)</li></ul> |
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| 5. | Kuunda Uakisi wa Maana | <ul> <li> [Python](13-meaningful-visualizations/README.md)</li> <li>[R](../../../3-Data-Visualization) </li> </ul>|<ul> <li> [Jen Looper](https://twitter.com/jenlooper)</li><li> [Vidushi Gupta](https://github.com/Vidushi-Gupta)</li> <li>[Jasleen Sondhi](https://github.com/jasleen101010)</li></ul> |
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### Shukrani
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Masomo haya ya uakisi yaliandikwa kwa 🌸 na [Jen Looper](https://twitter.com/jenlooper), [Jasleen Sondhi](https://github.com/jasleen101010) na [Vidushi Gupta](https://github.com/Vidushi-Gupta).
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🍯 Data ya Uzalishaji wa Asali Marekani imetolewa kutoka mradi wa Jessica Li kwenye [Kaggle](https://www.kaggle.com/jessicali9530/honey-production). [Data](https://usda.library.cornell.edu/concern/publications/rn301137d) hii imetokana na [Idara ya Kilimo ya Marekani](https://www.nass.usda.gov/About_NASS/index.php).
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🍄 Data ya uyoga pia imetolewa kutoka [Kaggle](https://www.kaggle.com/hatterasdunton/mushroom-classification-updated-dataset) iliyorekebishwa na Hatteras Dunton. Seti hii ya data inajumuisha maelezo ya sampuli za kinadharia zinazohusiana na spishi 23 za uyoga wenye mapezi katika Familia ya Agaricus na Lepiota. Uyoga ulitolewa kutoka kwa The Audubon Society Field Guide to North American Mushrooms (1981). Seti hii ya data ilitolewa kwa UCI ML 27 mwaka 1987.
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🦆 Data ya Ndege wa Minnesota imetoka [Kaggle](https://www.kaggle.com/hannahcollins/minnesota-birds) iliyokusanywa kutoka [Wikipedia](https://en.wikipedia.org/wiki/List_of_birds_of_Minnesota) na Hannah Collins.
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Seti hizi zote za data zimetolewa chini ya leseni ya [CC0: Creative Commons](https://creativecommons.org/publicdomain/zero/1.0/).
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---
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**Kanusho**:
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Hati hii imetafsiriwa kwa kutumia huduma ya tafsiri ya AI [Co-op Translator](https://github.com/Azure/co-op-translator). Ingawa tunajitahidi kwa usahihi, tafadhali fahamu kuwa tafsiri za kiotomatiki zinaweza kuwa na makosa au kutokuwa sahihi. Hati asili katika lugha yake ya awali inapaswa kuzingatiwa kama chanzo cha mamlaka. Kwa taarifa muhimu, inashauriwa kutumia huduma ya tafsiri ya kibinadamu ya kitaalamu. Hatutawajibika kwa kutoelewana au tafsiri zisizo sahihi zinazotokana na matumizi ya tafsiri hii. |