Can someone make a flowchart out of this? ss_kiosk_df = pd.read_excel("DATA SUPREME SURVEY FORM (Responses).xlsx") ss_kiosk_rename = pd.read_excel("DATA_SUPREME_COLUMN_RENAME_MAPPING.xlsx") ss_kiosk_drop = ss_kiosk_rename.loc[ss_kiosk_rename['column cleanse'] == 'Remove'].new.to_numpy() ss_kiosk01_df = ss_kiosk_df.copy() df01_col_cleansed = ss_kiosk01_df.rename(columns=ss_kiosk_rename.set_index('old')['new'].to_dict()).drop(ss_kiosk_drop, axis=1) df01_row_cleansed = df01_col_cleansed.loc[df01_col_cleansed['Kiosk Experience'] == 'Yes'] df01_row_cleansed

Can someone make a flowchart out of this? ss_kiosk_df = pd.read_excel("DATA SUPREME SURVEY FORM (Responses).xlsx") ss_kiosk_rename = pd.read_excel("DATA_SUPREME_COLUMN_RENAME_MAPPING.xlsx") ss_kiosk_drop = ss_kiosk_rename.loc[ss_kiosk_rename['column cleanse'] == 'Remove'].new.to_numpy() ss_kiosk01_df = ss_kiosk_df.copy() df01_col_cleansed = ss_kiosk01_df.rename(columns=ss_kiosk_rename.set_index('old')['new'].to_dict()).drop(ss_kiosk_drop, axis=1) df01_row_cleansed = df01_col_cleansed.loc[df01_col_cleansed['Kiosk Experience'] == 'Yes'] df01_row_cleansed

Np Ms Office 365/Excel 2016 I Ntermed

1st Edition

ISBN:9781337508841

Author:Carey

Publisher:Carey

Chapter6: Managing Multiple Worksheets And Workbooks

Section: Chapter Questions

Problem 18RA

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Use the "College" data set from the package "ISLR", do the following: Get familiar with the data set. How many variables the data set has? What is the class of the variable "Private"? Add a new column "Enroll.rate" which is the ratio of Enroll v.s. Accept, to the data set. What are the top 10 Universities in terms of "Enroll.rate" (highest student enrollment ratio)? Get a new data frame "Mysubset" with all rows with an "Outstate" fee between 8000-9000 USD. solve using r code
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Some guy wants all of his members to have a unique customer IDthat he can display whilst they’re logged in. He wants to simply activate theplugin, which has the option of a shortcode to use in his posts/pages, and afunction to use within his theme, can you make a simple plugin or somecode that they can use within their theme functions.php?
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I have a dataframe called "data" in R with a column called "Score" and I want to take out the values called "Average" or "All". I have: data %>% filter(data$Score != "All" & data$Score != "Average") But when I run it those values aren't removed from the column. How do I fix this?
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Please help me Below here I have written the code for extracting the data using scrapy for the given url for state=uttarpradesh and districts=[SANT RAVIDAS NAGAR, AGRA, VARANASI] But the data present in all pages is not saving in the excel sheet can u provide the code where to add the code and all to save all pages of data in excel sheet import scrapy import pandas as pd class HandicraftSpider(scrapy.Spider): name = "handicrafts" start_urls = [ 'http://www.handicrafts.nic.in/ArtisanData.aspx?MID=SZmOd%2fCrxTo9CHD2XKF+pA%3d%3d' ] def parse(self, response): yield scrapy.FormRequest.from_response( response, formdata={'__EVENTTARGET': '', '__EVENTARGUMENT': '', '__LASTFOCUS': '', '__VIEWSTATE': response.css('input#__VIEWSTATE::attr(value)').get(), '__VIEWSTATEGENERATOR': response.css('input#__VIEWSTATEGENERATOR::attr(value)').get(), '__EVENTVALIDATION': response.css('input#__EVENTVALIDATION::attr(value)').get(), 'ddlstate': 'Uttar Pradesh', 'ddldist': 'Sant Ravidas Nagar, Agra,…
I am trying to scrape price and circulating supply for all the cryptocurrency listed on CoinMarketCap. with the code below I was able to scrape 10 rows without any problem however after 10th row few data are not properly scraped. This is in python. Please fix it and output to a textfile cmc = requests.get("https://coinmarketcap.com/1") soup = BeautifulSoup(cmc.content, 'html.parser') data = soup.find('table') rows = data.find_all('tr') #extract column names from table table_headers = [] for i in data.find_all('th'): table_headers.append(i.text) #extract data from each row circ_supply = [] data_table = [] for i in rows: table_data = i.find_all('td') data = [j.text for j in table_data] print(data) data_table.append(data) output
You are contracted to complete the data system for Citywide Taxi Company. Now, the information for each taxi is expanded to include: taxi id (such as CTC0001), the driver’s name, the maker of the Car (such as Ford), the model of the car (such as Escape), the Color of the Car (such as Black), the license number (such as HXT 4578), the number of passages the car served in the entire shift (integer type, this field will be left empty for this project). Your C++ program will (with array of class object): Define a class for the car with all members of variable mentioned above as private; Write all necessary class member functions to access those member variables (write or read); Read up to 50 records of data from the keyboard (provide a method to end the input before reaching 50 records) Save all records inputted from step 3 to a disk file called CTC.dat.
ask 1. Import the data into R and give an overview over the data, using summary statistics asappropriate. If you access the data directly from the UK government webpage, it may be easiestto first load the data into Microsoft Excel and then to save the relevant section of the spreadsheetas a csv file. Make sure to read the explanations in the Excel file.As hinted at in the original spreadsheet, rows are duplicated, with the duplicates differing onlyin the column ‘Licence Category’. Since we are not interested in licence categories, remove thecolumn ‘Licence Category’ from the data, and then use the command unique() to remove theexcess rows. (You can type ‘help(unique)‘ to learn how this command works.) Your reportshould at least address the following issues: Give some general information about the data set. Convince the reader that you have imported the data correctly. State how many rows were removed as duplicates. What is the most common vessel name?
I have a dataframe called df1. It includes a zip column (ie., includes zip codes) and I want to use the pyzipcodes library to create a new column called state, and map the zip codes to states. Does anyone have an idea how to call on and use the pyzipcodes and achieve this task?
I am creating a web app using NodeJS and MySQL, but one of my endpoints keeps producing a 400 error that says: "Unknown column 'undefined' in 'field list'" This endpoint is supposed to insert a new event into the event table. It seems to read all the inserted data as undefined, but I can't figure out why. I'm running my test through Arc and I am inputing the data as: { "event_ID": "699694", "LocID": "Virtual", "Date": "2023-03-03", "start": "00:00:00", "end": "23:45:00", "Title": "Application Deadline: Summer Undergraduate Research Fellowship", "description": "This is a research fellowship for undergrads", "contact_name": "OUR", "contact_phone": "2543342220", "contact_email": "our@test.edu" } I have inserted data for all the field list but they all come up as undefined. The code for the endpoint is available below: app.post("/events", async (req, res, next) => { const { event_ID, locID, date, start, end, title, description, contact_name, contact_phone,…