Supporting tables for Research report on population estimates by ethnic group and religion.

Full characteristics of included overview on Teacher Digital Competence

This feature dataset represents the spatial extent and boundaries of inventoried and managed BLM Lands with Wilderness Characteristics. This dataset also also provides BLM and the public with information about naturalness, opportunities for solitude and/or primitive recreation, supplemental values and proximity to Wilderness Areas or Wilderness Study Areas. BLM Inventoried Lands with Wilderness Characteristics is consistent with Section 201 of the Federal Land Policy and Management Act (FLPMA), which requires the BLM Colorado Inventoried Lands with Wilderness Characteristics is consistent with Section 201 of the Federal Land Policy and Management Act (FLPMA), which requires the Secretary of the Interior to “prepare and maintain on a continuing basis an inventory of all public lands and their resource and other values,” and the BLM Land Use Planning Handbook, BLM Colorado has identified and begun an assessment of BLM-managed lands with wilderness characteristics outside of existing WSAs. BLM Manual 6310 - Conducting Wilderness Characteristics Inventory on BLM Lands, provides the guidance from which BLM performs the wilderness characteristic inventory process.

This dataset is collected by DataCluster Labs. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster.ai

This dataset is an extremely challenging set of over 8000+ images of table in home, which are captured and crowdsourced from over 5000+ urban and rural locations, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs. It contains a wide variety table like study table, work table, dinning table etc..

Dataset Features

• Dataset size : 8000+ images
• Captured by : Over 5000+ crowdsource contributors
• Resolution : HD and above (1920x1080 and above)
• Location : Captured with 100+ locations across India
• Diversity : Various lighting conditions like day, night, varied distances, view points etc.
• Device used : Captured using mobile phones in 2020-2022
• Usage : Table Detection, Wooden Object Detection, Indoor Object Detecction, Table Plane Detection, Object Detection, Computer Vision, etc.

Available Annotation formats

COCO, YOLO, PASCAL-VOC, Tf-Record

The images in this dataset are exclusively owned by Data Cluster Labs and were not downloaded from the internet. To access a larger portion of the training dataset for research and commercial purposes, a license can be purchased. Contact us at sales@datacluster.ai Visit www.datacluster.ai to know more.

Now based on the above two tables (UserTable and VisitorLogData), you need to create an input feature set for the Marketing Model.

Input Feature table:

UserID

Unique ID of the registered user

No_of_days_Visited_7_Days

How many days a user was active on platform in the last 7 days.

No_Of_Products_Viewed_15_Days

Number of Products viewed by the user in the last 15 days

User_Vintage

Vintage (In Days) of the user as of today

Most_Viewed_product_15_Days

Most frequently viewed (page loads) product by the user in the last 15 days. If there are multiple products that have a similar number of page loads then , consider the recent one. If a user has not viewed any product in the last 15 days then put it as Product101.

Most_Active_OS

Most Frequently used OS by user.

Recently_Viewed_Product

Most recently viewed (page loads) product by the user. If a user has not viewed any product then put it as Product101.

Pageloads_last_7_days

Count of Page loads in the last 7 days by the user

Clicks_last_7_days

Count of Clicks in the last 7 days by the user

Process to create Input Feature:

In the current case, you are supposed to generate an input feature set as on 28-May-2018. So, the visitor table is from 07-May-2018 to 27-May-2018.

As a Data Engineer Creating ETL Pipeline would definitely be appreciated and provide you the added advantage in interviews, Your effort should be to build ETL Pipeline such that passing the information of user data and log data, It can generate the input feature table automatically

Table of selected features.

Building characteristics file includes three worksheets with information such as improvement type, square footage, year built and other miscellaneous improvements such as wells, septic systems etc.There are 5 files in this download:1. MiscImprovementCharacteristics.csv2. CommercialCharacteristics.csv3. ResidentialCharacteristics.csv4. T2 Quality and Conditions Key.xlsx5. schema.ini (defines the column types for each table)Instructions for Opening in Microsoft Excel: When opening this file in Microsoft Excel, the ParcelNumber should be treated as a text field because parcel numbers can have leading zeros. Use the following procedure:1. Do not open the file directly, start Excel with an empty workbook.2. Click the "Data" tab, then click the "From Text" button in the ribbon.3. Navigate to the saved CSV file and click the Import button.4. The "Delimited" radio button should be selected so click "Next".5. Check only the "Comma" check box and click "Next".6. Click the ParcelNumber field to select it in the "Data Preview" pane then select the "Text" radio button to define that column as a text column.7. Change any other columns as desired and click the "Finish" button to import.

A periodic table, containing NIST critically-evaluated data on atomic properties of the elements [SP 966] was designed as a NIST handout for use at exhibitions and trade shows.

Study characteristics of the included articles with caregiver and child information

Clinical and evolutive features of 27 patients with lymphoid hypereosinophilic syndrome and/or cutaneous T-cell lymphoma

Feature layer generated from running the Join Features solution

$\Delta\phi$ projection of balance function in low $p_{T}$ in 0-10% centrality

These data are the characteristics of the individual live trees found in 0.05-ha circular plot habitat samples taken in 2005 at sample points at Spears and Didion Ranches, Placer County, California. There were three 0.05-ha circular habitat sampling plots at each of the 15 sample points. To be counted, trees had to be > 4" dbh and within the 12.6 m radius plot. If a plot number is missing, then there were no trees at the sample points and vegetation plots.

4" dbh and within the 12.6 m radius plot. If a plot number is missing, then there were no trees at the sample points and vegetation plots.

This table contains mortality indicators by sex for Prince Edward Island and the territories. These indicators are derived from three-year abridged life tables. For Canada as a whole and for all provinces except Prince Edward Island, mortality indicators are computed from three-year complete life tables (table 13-10-0114) and single-year complete life tables (table 13-10-0837).

This dataset is about books. It has 16 rows and is filtered where the book subjects is Periodic table of the elements. It features 9 columns including author, publication date, language, and book publisher.

The elements of the periodic table can be categorized in a variety of ways. For display purposes, an 18 column table is generally used, with seven rows across, and this corresponds with the number of electrons in the outer rings of each atom. Thereafter, the elements are often color-coded to separate them into blocks and chemical groups, which corresponds more with their chemical properties and characteristics.

In most cases the table is split into four blocks, with ten separate groups. "s-block" (sharp) is displayed on the left of the table and includes alkali metals and alkaline earth metals, as well as hydrogen (a nonmetal) and helium (a noble gas, usually displayed on the right). In the center of the table is usually "d-block" (diffuse), which is the largest individual group and is comprised of the transition metals. "p-block" (principal) is the most diverse, it includes five separate groups and is found on the right of the table. Finally, "f-block" (fundamental) is the lanthanides and actinides, which are generally not considered to follow the sequence shown in the 18 column table, and are usually displayed separately and below the table (although they are sometimes put in sequence in a 32 column table as part of the 6th and 7th rows).

table 1 includes sample distributions by subjects' characteristics;table 2 includes the core characteristics of wellness dimensions;table 3 and table 4 include complete results from sample 1 and sample 2.