[必]我已經讀過置底版規、參考費率、發文必讀公告，並願意遵守規定： YES
* 如已讀過，請填 YES
* 如未讀過，請讀過再重新發文。未填視為未讀，一律刪文處理並警告。
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[必]工 作 量：7100 字（請載明字數或估算大約總字數。違者直接刪文）
[必]工作報酬：一字 0.6 ~ 0.8 元（無預算或預算過低，都會被直接刪除。*請註明以中文或外文計價。）
[必]涉及語言：英文潤稿
[必]所屬領域：軟體（例：教育/醫學/法律）
[必]文件類型：書籍草稿（例：論文摘要/期刊/書信。* 專業文類必須符合對應最低費率要求）
[必]截 稿 日：2014/05/02（若為急件，請加乘急件費率。計算方式請見置底公告）
[必]應徵期限：2014/04/28
[必]聯絡方式：soho.chiu@gmail.com
[必]付費方式：預付 1,000 元訂金，交稿後7天內付清餘額（例：預付OO元訂金，交稿後XX天內付清餘額，完稿後YY天內付清。
案主跟譯者需協定何時及如何付款，以避免日後爭議。）
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[選]工作要求：（若未提供請勿刪除）
[選]參考段落：
2. Data collection: Once the goal of exploration is determined, user can start collecting or extracting
relevant data from data source, regarding to exploration target. Mostly, data collected from disparate
systems are appeared unorganized and diverse in format. No need to say, original data might be from
different sources, such as files, database or Internet. To retrieve data from these sources requires the
assistance of file IO function, JDBC/ODBC, or web crawler etc. These extracted data at the first
hand are called “raw data”, which is because they have not been subjected to processing, or being through
any other manipulations. As is known, most raw data are not easily consumed for most of analysis tools or
visualization programs.
3. Data munging: Then, it comes to the phase of data munging (or wrangling), a step for helping to map raw
data into more convenient consumption format. During this phase, there are involved with data parsing,
sorting, merging, filtering, missing value completion, and other more processes to transform the data into
organized, and enabled them to fit in consume structure. Later on, the mapped data can be further utilized
for data aggregation, analysis or visualization.
[選]試 譯 文：（100-200字，並不超過全文1/10。嚴禁私下試譯。若未提供請勿刪除）
[選]其他事項：一共有十二章(我大約每三星期產出一章)，如配合的好，可以12章陸續交付潤稿
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